PhD. Math Thesis Topics

Research Area/ Research Interest: Medical imaging Math

Research Paper Topics for Masters and Ph.D. Thesis and publication

Total variation based convex filters for medical imaging
Fundamentals of equilibrium problems
Mathematical methods in medical image processing
A No-Math Primer on the Principles of Machine Learning for Radiologists
Intel math kernel library
Why computer science students need math
Assessment of display performance for medical imaging systems: executive summary of AAPM TG18 report
Factors Influencing Lesion Detection in Medical Imaging, Advisor: Harry H. Barrett, Professor of Optical Science and Medical Imaging. Diplôme Grandes Ecoles …
How Much Math Is Too Much Math?
Vision 20/20: Single photon counting x-ray detectors in medical imaging
Applied Math Seminar
Adv. Math. Studies
Statistics on the manifold of multivariate normal distributions: Theory and application to diffusion tensor MRI processing
The interesting connection between math and music
Identities for sin x that Came from Medical Imaging
ROC analysis in medical imaging: a tutorial review of the literature
University of Göttingen, Germany huckeman@ math. uni-goettingen. de
High performance computing for deformable image registration: Towards a new paradigm in adaptive radiotherapy
A new local multiscale Fourier analysis for medical imaging
Step Into the World of Mathematics: Math is Beautiful and Belongs to All of Us
Effect of noise correlation on detectability of disk signals in medical imaging
Contrast Image Construction Technique for Medical Imaging
Fundamentals of medical imaging
An algorithmic overview of surface registration techniques for medical imaging
Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets
Illuminating math with optics
Surface interpolation with radial basis functions for medical imaging
Guest editorial: wavelets in medical imaging
Medical imaging: state of the art and future development
A direct reconstruction algorithm for electrical impedance tomography
Microwave-induced thermoacoustic scanning CT for high-contrast and noninvasive breast cancer imaging
Deep learning in medical imaging: general overview
Precise dental implant placement in bone using surgical guides in conjunction with medical imaging techniques
Felix Bernstein Institute for Mathematical Statistics in the Biosciences Georg-August-Universität Göttingen, Germany huckeman@ math. uni-goettingen. de
Evaluation of OpenCL native math functions for image processing algorithms
Math in the Black Forest: Workshop on New Directions in Shape Analysis
E-mail: jiangm@ math. pku. edu. cn, jiangm@ ct. radiology. uiowa. edu
Phase diversity: Math, methods and prospects, including sequential diversity imaging
Math Lab: Learning Math by Doing Math
Clever math enables MRI to map biomolecules
Identifying Non-Math Students from Brain MRIs with an Ensemble Classifier Based on Subspace-Enhanced Contrastive Learning
Division of Science and Math Topics Courses 10/25/2004
Secure, privacy-preserving and federated machine learning in medical imaging
Causality matters in medical imaging
Math Times
Getting a Speed Boost with Fixed-Point Math
Reconstructions of chest phantoms by the D-bar method for electrical impedance tomography
Mix well, then apply: math meeting in DC
Digital watermarking: Applicability for developing trust in medical imaging workflows state of the art review
MATH-6792 Spring 2003 Mathematical Methods in Medical Imaging Final Project Wavelet Based Local Tomography
Combining ordered subsets and momentum for accelerated X-ray CT image reconstruction
Statistical computing on manifolds: from riemannian geometry to computational anatomy
An overview of deep learning in medical imaging focusing on MRI
A fractal set constructed from a class of wavelet sets, inverse problems, image analysis, and medical imaging
Discrete tomography in medical imaging
Mathematics of medical imaging inside out: Inverse problems and applications
Math 352: PARTIAL DIFFERENTIAL EQUATIONS IN ACTION From medical images to numerical simulations
Intel makes a big jump in computer math
Feature level fusion of gray dentistry images using haar lifting wavelet transform
Deep learning in magnetic resonance image reconstruction
Geodesic tubes for uncertainty quantification in diffusion MRI
Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization
Multiple idiopathic cervical root resorption: a challenge for a transdisciplinary medical-dental team
An improved method for automated calculation of the water-equivalent diameter for estimating size-specific dose in CT
Computed Tomography: Algorithms, Insight, and Just Enough Theory
Conservative finite element modeling of EEG and MEG on unstructured grids
A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics
Analyzing and classifying MRI images using robust mathematical modeling
From EMI to AI: a brief history of commercial CT reconstruction algorithms
Artificial intelligence techniques for cancer detection in medical image processing: A review
A nonlinear hierarchical model for longitudinal data on manifolds
An end-to-end brain tumor segmentation system using multi-inception-UNET
Interpreting deep neural networks for medical imaging using concept graphs
Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and …
Total deep variation: A stable regularization method for inverse problems
Review and potential for artificial intelligence in healthcare
Impact of four kVp combinations available in a dual-source CT on the spectral performance of abdominal imaging: A task-based image quality assessment on …
Physical, structural, optical and gamma-ray shielding properties of Na2O-CdO-Bi2O3-B2O3 glasses
MRI-based Back propagation neural network model as a powerful tool for predicting the response to induction chemotherapy in locoregionally advanced …
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Effective doses and associated age-related risks for common paediatric diagnostic nuclear medicine and PET procedures at a large Australian paediatric hospital
Machine learning vulnerability in medical imaging
Automatic segmentation of hippocampus in hippocampal sparing whole brain radiotherapy: A multitask edge-aware learning
Brain MR Images Super-Resolution with the Consistent Features
A deep learning model integrating convolution neural network and multiple kernel K means clustering for segmenting brain tumor in magnetic resonance images
Fast non-line-of-sight imaging with high-resolution and wide field of view using synthetic wavelength holography
Mapping gradient nonlinearity and miscalibration using diffusion-weighted MR images of a uniform isotropic phantom
Classification of parotid gland tumors by using multimodal MRI and deep learning
MC2-Net: motion correction network for multi-contrast brain MRI
COVID-19 diagnosis on CT scan images using a generative adversarial network and concatenated feature pyramid network with an attention mechanism
A nonlinear fourth-order PDE for image denoising in Sobolev spaces with variable exponents and its numerical algorithm
On the fat saturation effect in quantitative ultrashort TE MR imaging
Toward nonparametric diffusion-characterization of crossing fibers in the human brain
Protocols for multi-site trials using hyperpolarized 129Xe MRI for imaging of ventilation, alveolar-airspace size, and gas exchange: A position paper from the 129Xe …
A meta-analysis of the relation between math anxiety and math achievement.
Multi-marker quantitative radiomics for mass characterization in dedicated breast CT imaging
FDRN: a fast deformable registration network for medical images
TranSMS: Transformers for super-resolution calibration in magnetic particle imaging
3D amplified MRI (aMRI)
Graph Theory Based Segmentation of Magnetic Resonance Images for Brain Tumor Detection
Cross-modality deep learning: Contouring of MRI data from annotated CT data only
Simultaneous QSM and metabolic imaging of the brain using SPICE: Further improvements in data acquisition and processing
A multi-modality paradigm for CT and MRI fusion with applications of quantum image processing
Image segmentation algorithm of lung cancer based on neural network model
Automatic lung nodule detection in thoracic CT scans using dilated slice-wise convolutions
Commuting integral and differential operators and the master symmetries of the Korteweg–de Vries equation
A Review of Artificial Intelligence’s Neural Networks (Deep Learning) Applications in Medical Diagnosis and Prediction
Brain tumor diagnosis based on metaheuristics and deep learning
Discrete conformal equivalence of polyhedral surfaces
Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement
Amide Proton Transfer-Weighted Imaging and Multiple Models Diffusion-Weighted Imaging Facilitates Preoperative Risk Stratification of Early-Stage Endometrial …
Early detection of breast malignancy using wavelet features and optimized classifier
Identification of skin melanoma based on microscopic hyperspectral imaging technology
A novel image processing approach to enhancement and compression of X-ray images
Deep learning with noise-to-noise training for denoising in SPECT myocardial perfusion imaging
Quantitative In Vivo Imaging to Enable Tumour Forecasting and Treatment Optimization
Skin cancer detection from dermoscopic images using deep learning and fuzzy k-means clustering
Solving an inverse elliptic coefficient problem by convex non-linear semidefinite programming
Image Reconstruction for Positron Emission Tomography Based on Chebyshev Polynomials
Radiation dosimetry of a clinical prototype dedicated cone-beam breast CT system with offset detector
Feasibility-based fixed point networks
Deep learning-based solvability of underdetermined inverse problems in medical imaging
Design and analysis of novel miniaturised triple band antenna for breast cancer detection
Impact of train/test sample regimen on performance estimate stability of machine learning in cardiovascular imaging
A predictive model for fracture in human ribs based on in vitro acoustic emission data
Performance evaluation and analysis of population-based metaheuristics for denoising of biomedical images
Development and preclinical evaluation of a patient-specific high energy x-ray phase sensitive breast tomosynthesis system
Predicting children’s math skills from task-based and resting-state functional brain connectivity
Noninvasive quantification of cerebrovascular pressure changes using 4D flow MRI
Optimizing the transfer-learning with pretrained deep convolutional neural networks for first stage breast tumor diagnosis using breast ultrasound visual images
The state of the art of deep learning models in medical science and their challenges
Anomaly detection in medical imaging with deep perceptual autoencoders
Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies
Learned low-rank priors in dynamic MR imaging
Detection of COVID-19 from chest x-ray images using transfer learning
Transfer Learning Strategy Based on Unsupervised Learning and Ensemble Learning for Breast Cancer Molecular Subtype Prediction Using Dynamic Contrast …
Levenberg–Marquardt method for solving inverse problem of MRE based on the modified stationary Stokes system
Far-field super-resolution ghost imaging with a deep neural network constraint
Micro-morphological feature visualization, auto-classification, and evolution quantitative analysis of tumors by using SR-PCT
A wavelet frame constrained total generalized variation model for imaging conductivity distribution
Dapagliflozin ameliorates pancreatic injury and activates kidney autophagy by modulating the AMPK/mTOR signaling pathway in obese rats
Impact of deep learning-based image super-resolution on binary signal detection
The Analytic of image processing smoothing spaces using wavelet
VoxelEmbed: 3D instance segmentation and tracking with voxel embedding based deep learning
A review on deep learning MRI reconstruction without fully sampled k-space
Image-versus histogram-based considerations in semantic segmentation of pulmonary hyperpolarized gas images
Mathematical estimation of half-value layer thicknesses
Fast in vivo 23Na imaging and mapping using accelerated 2D-FID UTE magnetic resonance spectroscopic imaging at 3 T: Proof of concept and reliability study
Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
Internet of medical things embedding deep learning with data augmentation for mammogram density classification
Dual-excitation flip-angle simultaneous cine and T1 mapping using spiral acquisition with respiratory and cardiac self-gating
Designing More Effective Drug Delivery and Diagnostic Procedures: Ferrara applies her training to make a difference [Women to Watch]
A recovery algorithm based on the kaczmarz algorithm and admm splitting with application to convex optimization in magnetic particle imaging
LV-GAN: A deep learning approach for limited-view optoacoustic imaging based on hybrid datasets
Imaging through diffuse media using multi-mode vortex beams and deep learning
Assessing the Information Content of a Non-Destructive Testing CMOS Imaging Detector
Analysing Effective Connectivity of the Math-gifted Brain with Nonlinear Granger Causality
MRI image enhancement based on feature clustering in the NSCT domain
In between are the doors of perception
DRONE: dual-domain residual-based optimization network for sparse-view CT reconstruction
Accurate identification of multiple anomalies in microwave imaging via direct sampling method with multiple sources
Predicting math ability using working memory, number sense, and neurophysiology in children and adults
Shear wave imaging and classification using extended Kalman filter and decision tree algorithm
Deep learning-based sinogram extension method for interior computed tomography
An efficient Hadoop-based brain tumor detection framework using big data analytic
Impedance-optical dual-modal cell culture imaging with learning-based information fusion
3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities
Interferometric optical fiber sensor for optoacoustic endomicroscopy
A comparative analysis on denoising techniques in brain mri and cardiac echo
Deformable MR-CT image registration using an unsupervised synthesis and registration network for neuro-endoscopic surgery
Bayesian uncertainty estimation of learned variational MRI reconstruction
Predictive effect of computed tomography imaging omics features under deep learning on metastatic lymph nodes of nasopharyngeal carcinoma
A View of Regularized Approaches for Image Segmentation
… of Simultaneous 18F-FDG PET With Monoexponential, Biexponential, and Stretched Exponential Model-Based Diffusion-Weighted MR Imaging in Assessing the …
Automated creation and tuning of personalised muscle paths for OpenSim musculoskeletal models of the knee joint
Self-supervised learning for accelerated 3D high-resolution ultrasound imaging
A review on self-adaptation approaches and techniques in medical image denoising algorithms
Medical images segmentation based on unsupervised algorithms: a review
Cognitive Correlates of Math Performance in School-Aged Children with Sickle Cell Disease and Silent Cerebral Infarcts
3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework
Increased blood–brain barrier permeability to water in the aging brain detected using noninvasive multi-TE ASL MRI
High spatial resolution spiral first-pass myocardial perfusion imaging with whole-heart coverage at 3 T
Effects of echo time on IVIM quantifications of locally advanced breast cancer in clinical diffusion-weighted MRI at 3 T
SAUN: Stack attention U-Net for left ventricle segmentation from cardiac cine magnetic resonance imaging
Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm
Deep learning for medical image segmentation
Blind primed supervised (blips) learning for mr image reconstruction
Accelerating T2 mapping of the brain by integrating deep learning priors with low-rank and sparse modeling
Shared and distinct global signal topography disturbances in subcortical and cortical networks in human epilepsy
Self-supervised IVIM DWI parameter estimation with a physics based forward model
Multi-objective evolutionary algorithm for pet image reconstruction: Concept
Learning a model-driven variational network for deformable image registration
Fusion of handcrafted and deep convolutional neural network features for effective identification of diabetic foot ulcer
A Unifying Framework for -Dimensional Quasi-Conformal Mappings
Medical image interpolation using recurrent type-2 fuzzy neural network
Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration
Psoriasis Lesion Detection Using Hybrid Seeker Optimization-based Image Clustering

Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction
Multiscale U-net-based accelerated magnetic resonance imaging reconstruction
Perfusion MRI using endogenous deoxyhemoglobin as a contrast agent: Preliminary data
Linear and nonlinear profiles of weak behavioral and neural differentiation between numerical operations in children with math learning difficulties
Systems, Patterns and Data Engineering with Geometric Calculi
RDH-based dynamic weighted histogram equalization using for secure transmission and cancer prediction
Cortical bone mechanical assessment via free water relaxometry at 3 T
Velocity-to-pressure (V2P)-net: inferring relative pressures from time-varying 3D fluid flow velocities
Radiomics
Construction of urban agricultural health informatics safety supervision system based on imaging and deep learning
LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction
Direct reconstruction of linear parametric images from dynamic pet using nonlocal deep image prior
MARnet: multi-scale adaptive residual neural network for chest X-ray images recognition of lung diseases
Novel computer-aided lung cancer detection based on convolutional neural network-based and feature-based classifiers using metaheuristics
Computer model of mechanical imaging acquisition for virtual clinical trials
Ultrasound volume projection image quality selection by ranking from convolutional RankNet
Quantifying pulmonary perfusion from noncontrast computed tomography
Deep learning-based detection of COVID-19 from chest x-ray images
Image fusion techniques: a survey
Deep learning algorithms for brain disease detection with magnetic induction tomography
Multi-modality Imaging with Structure-Promoting Regularizers
Dynamic chaotic gravitational search algorithm-based kinetic parameter estimation of hepatocellular carcinoma on 18F-FDG PET/CT
Combined 23Na and 13C imaging at 3.0 Tesla using a single-tuned large FOV birdcage coil
Accelerated white matter lesion analysis based on simultaneous T1 and T2∗ quantification using magnetic resonance fingerprinting and deep learning
Incorporation of residual attention modules into two neural networks for low-dose CT denoising
Image denoising using a compressive sensing approach based on regularization constraints
A weighted least squares optimisation strategy for medical image super resolution via multiscale convolutional neural networks for healthcare applications
Modified Global Flower Pollination Algorithm-based image fusion for medical diagnosis using computed tomography and magnetic resonance imaging
PET/CT acceptance testing and quality assurance: Executive summary of AAPM Task Group 126 Report
Biomedical image segmentation: a survey
Photoacoustic tomography with line detector: Exact inversion formula
A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography
Classification and predictions of lung diseases from chest x-rays using mobilenet v2
Multi-level dilated convolutional neural network for brain tumour segmentation and multi-view-based radiomics for overall survival prediction
Deep learning models for benign and malign ocular tumor growth estimation
Software system to predict the infection in COVID-19 patients using deep learning and web of things
Deep convolutional generative adversarial network for Alzheimer’s disease classification using positron emission tomography (PET) and synthetic data augmentation
On a Cahn-Hilliard model for image segmentation
The critical role of lumped parameter models in patient-specific cardiovascular simulations
Comparative Analysis of Active Contour Models for Brain Tumor segmentation from T1w MRI Images
Out-of-field dose assessment for a 1.5 T MR-Linac with optically stimulated luminescence dosimeters
Dark-field computed tomography reaches the human scale
Brain tumor detection and classification using machine learning: a comprehensive survey
Robust compressed sensing mri with deep generative priors
Training deep-learning segmentation models from severely limited data
Deep learning acceleration of multiscale superresolution localization photoacoustic imaging
A reduced parallel transport equation on Lie Groups with a left-invariant metric
New Directions of Computed Tomography Technology: Sparse-View CT, Interior CT, and Multi-Beam CT
Fully-automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG)
A framework for efficient brain tumor classification using MRI images
Adaptive machine learning classification for diabetic retinopathy
Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning
CT radiomic features of superior mesenteric artery involvement in pancreatic ductal adenocarcinoma: a pilot study
Automated design for recognition of blood cells diseases from hematopathology using classical features selection and ELM
Real-time ultrasound detection of breast microcalcifications using multifocus twinkling artifact imaging
Structural connectome atlas construction in the space of riemannian metrics
A robustness measure for singular point and index estimation in discretized orientation and vector fields
Artificial intelligence with deep learning in nuclear medicine and radiology
Tiny golden angle ultrashort echo-time lung imaging in mice
Breast cancer detection from histopathology images with deep inception and residual blocks
A Survey on Convolutional Neural Network (Deep-Learning Technique)-Based Lung Cancer Detection
Cervical cancer diagnosis using convolution neural network with conditional random field
Amide proton transfer MRI could be used to evaluate the pathophysiological status of white matter hyperintensities
Learning data consistency and its application to dynamic MR imaging
Research on image text recognition based on canny edge detection algorithm and k-means algorithm
A comprehensive survey on covid-19 detection and classification using artificial intelligence approaches
Transfer learning techniques for medical image analysis: A review
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography …
Distributionally robust segmentation of abnormal fetal brain 3d mri
Recognition of ischaemia and infection in diabetic foot ulcer: a deep convolutional neural network based approach
Toward molecular imaging using spectral photon-counting computed tomography?
Solving inverse problems with deep neural networks-robustness included
Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views
3D shallow deep neural network for fast and precise segmentation of left atrium
Differentiation of Brain Tumor Microvasculature From Normal Vessels Using Optical Coherence Angiography
Image denoising based on nonconvex anisotropic total-variation regularization
Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy
Assessment of the effective radiation dose and radiogenic effect in intravenous urography imaging procedures
Improving magnetic resonance imaging with smart and thin metasurfaces
Multi-modal co-learning for liver lesion segmentation on PET-CT images
Recognizing gastrointestinal malignancies on WCE and CCE images by an ensemble of deep and handcrafted features with entropy and PCA based features …
Recent advances on non-line-of-sight imaging: Conventional physical models, deep learning, and new scenes
Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network
Novel Pluronic F-127-coated ZnO nanoparticles: Synthesis, characterization, and their in-vitro cytotoxicity evaluation
Breast cancer detection from thermal images using a Grunwald-Letnikov-aided Dragonfly algorithm-based deep feature selection method
False positive repression: Data centric pipeline for object detection in brain MRI
Anatomic compartments extraction from diffusion medical images using factorial analysis and K-means clustering methods: A combined analysis tool
A hybrid regularizers model for multiplicative noise removal
Multi-band brain network analysis for functional neuroimaging biomarker identification
Optimizing the frame duration for data-driven rigid motion estimation in brain PET imaging
Semi-supervised GAN-based radiomics model for data augmentation in breast ultrasound mass classification
Delivery of alkaline phosphatase promotes periodontal regeneration in mice
Artificial intelligence applications in pediatric brain tumor imaging: a systematic review
Design ensemble deep learning model for pneumonia disease classification
AI-Enhanced Diagnosis of Challenging Lesions in Breast MRI: A Methodology and Application Primer
Microbubbles and Nanodrops for photoacoustic tomography
Robust SVD-based schemes for medical image watermarking
Despeckling and enhancement of ultrasound images using non-local variational framework
An overview of current trends, techniques, prospects, and pitfalls of artificial intelligence in breast imaging
Riemann-DTI geodesic tractography revisited
Using neural networks to extend cropped medical images for deformable registration among images with differing scan extents
Left parietal involvement in motion sickness susceptibility revealed by multimodal magnetic resonance imaging
GAN-segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation
Identification of invisible ischemic stroke in noncontrast CT based on novel two-stage convolutional neural network model
X-ray computed tomography
Accelerated J-resolved 1H-MRSI with limited and sparse sampling of (-space
Learning to Reconstruct CT Images from the VVBP-Tensor
Ultrasound-based sensors to monitor physiological motion
The study on the inverse problem of applied current thermoacoustic imaging based on generative adversarial network
A Review on Multi-organ Cancer Detection Using Advanced Machine Learning Techniques
Improving model-based mpi image reconstructions: Baseline recovery, receive coil sensitivity, relaxation and uncertainty estimation
Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis
Combining image features and patient metadata to enhance transfer learning
Unified Approach to Fast Convergent Row-Action-Type Iterative Methods for PET Image Reconstruction Using Multi Proximal Splitting
Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X-ray images
Three-class classification of brain magnetic resonance images using average-pooling convolutional neural network
An integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals
Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture
MISPLACED RADIOACTIVE ELEMENT
Deep boundary-aware semantic image segmentation
End-to-end reconstruction meets data-driven regularization for inverse problems
Preconvergence of the randomized extended Kaczmarz method
Deep neural network with consistency regularization of multi-output channels for improved tumor detection and delineation
Nonlinear PDE-based models for photon-limited image restoration
Discrete light sheet microscopic segmentation of left ventricle using morphological tuning and active contours
A Comparative Study of Amide Proton Transfer Weighted Imaging and Intravoxel Incoherent Motion MRI Techniques Versus (18) F-FDG PET to Distinguish Solitary …
Multivariate analysis of NMR-based metabolomic data
Diffuse large B-cell lymphoma segmentation in PET-CT images via hybrid learning for feature fusion
Evaluation and optimization of radiomics features stability to respiratory motion in 18F-FDG 3D PET imaging
Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images
A generic deep learning model for reduced gadolinium dose in contrast-enhanced brain MRI
An efficient method of detection of COVID-19 using Mask R-CNN on chest X-Ray images
Detection of glaucoma using retinal fundus images: A comprehensive review
Accelerated estimation of pulmonary artery stenosis pressure gradients with distributed lumped parameter modeling vs. 3D CFD with instantaneous adaptive …
Literature review: Efficient deep neural networks techniques for medical image analysis
Medical physicist certification and training program accreditation
Integrating robot-assisted ultrasound tracking and 3D needle shape prediction for real-time tracking of the needle tip in needle steering procedures
Fusing electrical and elasticity imaging
A homogenized cerebrospinal fluid model for diffuse optical tomography in the neonatal head
Structural, morphological, and opto-electrical properties of Y2-xYbxO3 nanoparticles synthesized using co-precipitation method
Graph convolutional networks for model-based learning in nonlinear inverse problems
Deformable image registration based on functions of bounded generalized deformation
Evaluation of irregular breathing effects on internal target volume definition for lung cancer radiotherapy
Federated learning and differential privacy for medical image analysis
Blood vessel segmentation in en-face OCTA images: a frequency based method
Priming the pipeline: inspiring diverse young scholars in the radiologic sciences begins during early childhood education
ISCL: Interdependent self-cooperative learning for unpaired image denoising
Brain tumor segmentation and overall survival period prediction in glioblastoma multiforme using radiomic features
Human tissue-equivalent MRI phantom preparation for 3 and 7 Tesla
Deep convolutional neural network in medical image processing
Application of Multiparametric Magnetic Resonance Imaging to Monitor the Early Antitumor Effect of CuS@ GOD Nanoparticles in a 4 T1 Breast Cancer Xenograft …
Convolutional neural networks for Alzheimer’s disease detection on MRI images
breast cytology images using gray level co-occurrence matrix
Automated brain tumor detection and classification using weighted fuzzy clustering algorithm, deep auto encoder with barnacle mating algorithm and random forest …
Arterial spin labeling MR image denoising and reconstruction using unsupervised deep learning
A systematic review on techniques adapted for segmentation and classification of ischemic stroke lesions from brain MR images
Noise-Robust Image Reconstruction Based on Minimizing Extended Class of Power-Divergence Measures
Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis
Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine
Sampling theorems for bandlimited functions in the two-dimensional LCT and the LCHT domains
Whole-tumour evaluation with MRI and radiomics features to predict the efficacy of S-1 for adjuvant chemotherapy in postoperative pancreatic cancer patients …
Cross-site severity assessment of COVID-19 from CT Images via domain adaptation
A machine learning-based approach for the segmentation and classification of malignant cells in breast cytology images using gray level co-occurrence matrix
Class-driven content-based medical image retrieval using hash codes of deep features
Sampling for the V-line transform with vertex on a circle
Topology-preserving 3D image segmentation based on hyperelastic regularization
Validation and estimation of spleen volume via computer-assisted segmentation on clinically acquired CT scans
Optimizing Full 3D SPARKLING Trajectories for High-Resolution Magnetic Resonance Imaging
A review on deep learning architecture and methods for MRI brain tumour segmentation
Asymptotic behaviors for the Jordan-Moore-Gibson-Thompson equation in the viscous case
Semi-supervised medical image classification via increasing prediction diversity
Computational characterization of inhaled droplet transport to the nasopharynx
A long short-term memory network for sparse spatiotemporal EEG source imaging
Synthetic database of aortic morphometry and hemodynamics: overcoming medical imaging data availability
Azimuthal jittered sampling of bandlimited functions in the two-dimensional Fourier transform and the Hankel transform domains
A novel multimodality anatomical image fusion method based on contrast and structure extraction
3D interpolation in wave-based acoustic simulation
Deep learning powers cancer diagnosis in digital pathology
Improving automatic liver tumor segmentation in late-phase MRI using multi-model training and 3D convolutional neural networks
A system for fully automated monitoring of lesion evolution over time in multiple sclerosis
RNS-Based FPGA Accelerators for High-Quality 3D Medical Image Wavelet Processing Using Scaled Filter Coefficients
Stochastic Shape Analysis
Stacked-autoencoder-based model for COVID-19 diagnosis on CT images
Deformed Gabor transform and applications
Learned Iterative Reconstruction
Artificial intelligence in medical imaging of the breast
Efficient Prompt Scintillation and Fast Neutron-Gamma Ray Discrimination Using Amorphous Blends of Difluorenylsilane Organic Glass and In Situ Polymerized …
Classifier fusion for detection of COVID-19 from CT scans
Fibroglandular tissue distribution in the breast during mammography and tomosynthesis based on breast CT data: A patient-based characterization of the breast …
Two-stage image segmentation based on nonconvex ℓ2− ℓp approximation and thresholding
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review
Early Melanoma Diagnosis with Sequential Dermoscopic Images
Content-based image retrieval by using deep learning for interstitial lung disease diagnosis with chest CT
A hybrid deep learning approach for COVID-19 diagnosis via CT and X-ray medical images
Local Contrast Normalization to Improve Preprocessing in MRI of the Brain
Adversarially learned iterative reconstruction for imaging inverse problems
An improved approach for medical image fusion using sparse representation and Siamese convolutional neural network
Role of artificial intelligence in COVID-19 detection
High pitch helical CT reconstruction

Pretreatment CT and 18F-FDG PET-based radiomic model predicting pathological complete response and loco-regional control following neoadjuvant …
Improving CBCT quality to CT level using deep learning with generative adversarial network
A comparative analysis of efficient CNN-based brain tumor classification models
Sanders classification of calcaneal fractures in CT images with deep learning and differential data augmentation techniques
Three-dimensional self-attention conditional GAN with spectral normalization for multimodal neuroimaging synthesis
A double hollow rectangular-shaped patch and with the slotted ground plane monopole wideband antenna for microwave head imaging applications
Tuning magnetic response and ionic conductivity of electrospun hybrid membranes for tissue regeneration strategies
Versatile multi-constrained planning for thermal ablation of large liver tumors
(An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods
Cardiac measurement of hyperpolarized 13C metabolites using metabolite-selective multi-echo spiral imaging
Training data distribution significantly impacts the estimation of tissue microstructure with machine learning
TopoTxR: A topological biomarker for predicting treatment response in breast cancer
Cortico-striato-thalamo-cerebellar networks of structural covariance underlying different epilepsy syndromes associated with generalized tonic–clonic seizures
NC-PDNet: a density-compensated unrolled network for 2D and 3D non-Cartesian MRI reconstruction
COVID-19 diagnosis system by deep learning approaches
Experimental study of photon-counting CT neural network material decomposition under conditions of pulse pileup
An optical flow based left-invariant metric for natural gradient descent in affine image registration
Segmenting two-dimensional structures with strided tensor networks
A Study on Using Deep Learning for Segmentation of Medical Image
Water Diffusion Proceeds via a Hydrogen-Bond Jump Exchange Mechanism
In-situ X-ray fluorescence imaging of the endogenous iodine distribution in murine thyroids
Nonlinear reconstruction of coded spectral X-ray CT based on material decomposition
Ultrasound tissue classification: a review
Attention via scattering transforms for segmentation of small intravascular ultrasound data sets
Multi-instance discriminative contrastive learning for brain image representation
Artificial intelligence for PET image reconstruction
Core Imaging Library-Part II: multichannel reconstruction for dynamic and spectral tomography
Lossless PDE-based Compression of 3D Medical Images
Nonlocal convolutional block attention module VNet for gliomas automatic segmentation
The Value of Chinese Thyroid Imaging Report and Data System Combined With Contrast-Enhanced Ultrasound Scoring in Differential Diagnosis of Benign and …
fastCAT: Fast cone beam CT (CBCT) simulation
Deep learning for biomedical image reconstruction: A survey
Whole-brain steady-state CEST at 3 T using MR Multitasking
Non-convex primal-dual algorithm for image reconstruction in spectral CT
CT image reconstruction using NLMfuzzyCD regularization method
Classification of breast cancer mammogram images using convolution neural network
Review of medical image authentication techniques and their recent trends
Whole-brain functional MRI registration based on a semi-supervised deep learning model
Machine learning applications in healthcare sector: An overview
Ordered multi-path propagation for vessel centerline extraction
Machine learning-based automatic detection of novel coronavirus (COVID-19) disease
A decision support system for multimodal brain tumor classification using deep learning
Fast dynamic brain PET imaging using stochastic variational prediction for recurrent frame generation
Reproducibility of lung nodule radiomic features: multivariable and univariable investigations that account for interactions between CT acquisition and reconstruction …
Recovery of Blood Flow From Undersampled Photoacoustic Microscopy Data Using Sparse Modeling
Evaluation of different CT maps for attenuation correction and segmentation in static 99mTc-MAA SPECT/CT for 90Y radioembolization treatment planning: A …
Real-time non-rigid 3D respiratory motion estimation for MR-guided radiotherapy using MR-MOTUS
Estimating uncertainty in deep learning for reporting confidence to clinicians in medical image segmentation and diseases detection
Lung nodule malignancy classification with weakly supervised explanation generation
Learning with fewer images via image clustering: Application to intravascular OCT image segmentation
Brain tumor segmentation using extended Weiner and Laplacian lion optimization algorithm with fuzzy weighted k-mean embedding linear discriminant …
Tympanic membrane segmentation in otoscopic images based on fully convolutional network with active contour loss
Potential role of artificial intelligence in craniofacial surgery
Content-based image retrieval algorithm for nuclei segmentation in histopathology images
Evaluating CUDA Portability with HIPCL and DPCT
Tomentosin inhibits cell proliferation and induces apoptosis in MOLT-4 leukemia cancer cells through the inhibition of mTOR/PI3K/Akt signaling pathway
Biomimetic phantom with anatomical accuracy for evaluating brain volumetric measurements with magnetic resonance imaging
Cascaded regression neural nets for kidney localization and segmentation-free volume estimation
Portable magnetic resonance imaging of patients indoors, outdoors and at home
GL-PINN algorithm for inferring velocity and pressure fields from sparse concentration field*
Deep learning-based multi-modal computing with feature disentanglement for MRI image synthesis
On the performance of lung nodule detection, segmentation and classification
DIFFnet: Diffusion Parameter Mapping Network Generalized for Input Diffusion Gradient Schemes and b-Value
Relation-induced multi-modal shared representation learning for Alzheimer’s disease diagnosis
Efficient parallel simulation of hemodynamics in patient-specific abdominal aorta with aneurysm
Reliability of the 100 mL water swallow test in patients with head and neck cancer and healthy subjects
Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images
Liver perfusion MRI in a rodent model of cirrhosis: Agreement with bulk-flow phase-contrast MRI and noninvasive evaluation of inflammation in chronic liver disease …
Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architecture
Efficient detection of Parkinson’s disease using deep learning techniques over medical data
Personalized 0D models of normal and stenosed carotid arteries
Sparsity-based nonlinear reconstruction of optical parameters in two-photon photoacoustic computed tomography
Details-preserving multi-exposure image fusion based on dual-pyramid using improved exposure evaluation
Enhanced diffuse optical tomographic reconstruction using concurrent ultrasound information
Machine learning for histologic subtype classification of non-small cell lung cancer: a retrospective multicenter radiomics study
On the robustness of pretraining and self-supervision for a deep learning-based analysis of diabetic retinopathy
Mirror-Integrated Ultrasound Image-Guided Needle Intervention
Phase shifted-lateral shearing digital holographic microscopy imaging for early diagnosis of cysts in soft tissue-mimicking phantom
Three-class brain tumor classification from magnetic resonance images using separable convolution based neural network
Medical image denoising using optimal thresholding of wavelet coefficients with selection of the best decomposition level and mother wavelet
A high-density 256-channel cap for dry electroencephalography
High-Quality MR Fingerprinting Reconstruction Using Structured Low-Rank Matrix Completion and Subspace Projection
Partially Supervised Kernel Induced Rough Fuzzy Clustering for Brain Tissue Segmentation
Improving medical image fusion method using fuzzy entropy and nonsubsampling contourlet transform
Encryption and Decryption of Images using GGH Algorithm: Proposed
Dual-energy x-ray approach for object/energy-specific attenuation coefficient correction in single-photon emission computed tomography: effects of contrast agent
Longitude & Latitude Latitude-8, 13, 42, Longitude-77, 24, 55 Phone number 04652 237400 Fax Number 04652290466 Office Hours at the institution 9: 00 AM …
T-Hex: Tilted hexagonal grids for rapid 3D imaging
Personalized intervention cardiology with transcatheter aortic valve replacement made possible with a non-invasive monitoring and diagnostic framework
Perfusion imaging: An advection diffusion approach
Fitting unbranching skeletal structures to objects
Performance analysis of a new fractal compression method for medical images based on fixed partition
Abnormal lung quantification in chest CT images of COVID-19 patients with deep learning and its application to severity prediction
Similar multi-modal image detection in multi-source dermatoscopic images of cancerous pigmented skin lesions
A green prospective for learned post-processing in sparse-view tomographic reconstruction
Robust curve and surface reconstruction method based on clustering algorithm
Geometry-aware neural solver for fast Bayesian calibration of brain tumor models
Imaging genetics study based on a temporal group sparse regression and additive model for biomarker detection of Alzheimer’s Disease
Active cell appearance model induced generative adversarial networks for annotation-efficient cell segmentation and identification on adaptive optics retinal images
Fairness-by-design dempster-shafer reasoning system
Spectral analysis of ultrasound radiofrequency backscatter for the identification of epicardial adipose tissue
Damage detection using in-domain and cross-domain transfer learning
Phase velocity estimation with expanded bandwidth in viscoelastic phantoms and tissues
Machine learning application in Glioma classification: review and comparison analysis
Saved to My library
DCT-based medical image compression using machine learning
Digital medicine and the curse of dimensionality
Single-pulse beam characterization for FLASH-RT using optical imaging in a water tank
Compressed Sensing in Parallel MRI: A Review
Segmentation and classification of brain tumors using modified median noise filter and deep learning approaches
One-step iterative reconstruction approach based on eigentissue decomposition for spectral photon-counting computed tomography
Near real-time bolt-loosening detection using mask and region-based convolutional neural network
Carleman estimates and the contraction principle for an inverse source problem for nonlinear hyperbolic equations
Comparison of conventional chest x ray with a novel projection technique for ultra-low dose CT
A nonparametric approach for estimating three-dimensional fiber orientation distribution functions (ODFs) in fibrous materials
Image-Based Method for Dual Energy Computed Tomography Image Decomposition
End-to-end domain knowledge-assisted automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using computed tomography (CT)
Scan-specific generative neural network for MRI super-resolution reconstruction
Performance Evaluation of Hybrid Machine Learning Algorithms for Medical Image Classification
Improved low-dose positron emission tomography image reconstruction using deep learned prior
Machine learning-based tri-stage classification of Alzheimer’s progressive neurodegenerative disease using PCA and mRMR administered textural, orientational, and …
Task-Adapted Reconstruction in Computed Tomography: Microlocal Analysis meets Deep Learning
Spatio-temporal mitosis detection in time-lapse phase-contrast microscopy image sequences: A benchmark
Recent advancements in Fuzzy C-means based techniques for brain MRI Segmentation
Brain Tumor Detection Using Machine Learning and Deep Learning: A Review
Regularized Kaczmarz algorithms for tensor recovery
Diffeomorphic registration with density changes for the analysis of imbalanced shapes
Medical image processing and COVID-19: a literature review and bibliometric analysis
Sex differences in microstructural white matter alterations of mathematics anxiety based on diffusion MRI connectometry.
Deep-learning-assisted Fourier transform imaging spectroscopy for hyperspectral fluorescence imaging
An asymmetrical whole-body birdcage RF coil without RF shield for hyperpolarized 129Xe lung MR imaging at 1.5 T
Deep learning for pulmonary embolism detection on computed tomography pulmonary angiogram: a systematic review and meta-analysis
A versatile deep learning architecture for classification and label-free prediction of hyperspectral images
A simplified empirical model to estimate oxygen relaxivity at different magnetic fields
An accurate Cluster chaotic optimization approach for digital medical image segmentation
ReUINet: A fast GNL distortion correction approach on a 1.0 T MRI-Linac scanner
An automatic self-initialized clustering method for brain tissue segmentation and pathology detection from magnetic resonance human head scans with graphics …
Using out-of-the-box frameworks for contrastive unpaired image translation for vestibular schwannoma and cochlea segmentation: An approach for the crossmoda …
Nonparametric variational learning of multivariate beta mixture models in medical applications
Reducing the complexity of model-based MRI reconstructions via sparsification
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data
Fourier neural operator networks: A fast and general solver for the photoacoustic wave equation
Identify complex imaging genetic patterns via fusion self-expressive network analysis
Improved efficiency of urine cell image segmentation using droplet microfluidics technology
Toward implementing efficient image processing algorithms on quantum computers
DHS-CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images
Brain tumor segmentation using K-means clustering and deep learning with synthetic data augmentation for classification
Research on photoacoustic effect of picosecond laser pulse with tissue based on finite element method
A novel lung radiomics feature for characterizing resting heart rate and COPD stage evolution based on radiomics feature combination strategy
… differential diagnosis of primary central nervous system lymphoma and glioblastoma: multi-parametric magnetic resonance imaging based convolutional neural …
Bibliometric analysis of research on mathematical literacy in Indonesia
Factual foreground segregation and gradient based bias correction in brain MR images
X-ray computed tomography for 3D plant imaging
Minimum TR radiofrequency-pulse design for rapid gradient echo sequences
Multimodal medical image fusion with convolution sparse representation and mutual information correlation in NSST domain
Deconvolution-based partial volume correction of PET images with parallel level set regularization
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
Early diagnosis of neuropsychiatric systemic lupus erythematosus by deep learning enhanced magnetic resonance spectroscopy
C-CADZ: computational intelligence system for coronary artery disease detection using Z-Alizadeh Sani dataset
Digital Transformation of Healthcare: A blockchain study
Optimized control for medical image segmentation: improved multi-agent systems agreements using Particle Swarm Optimization
Using deep learning to emulate the use of an external contrast agent in cardiovascular 4D flow MRI
Hyperrecon: Regularization-agnostic cs-mri reconstruction with hypernetworks
Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder-decoder network
DL-CNN-based approach with image processing techniques for diagnosis of retinal diseases
Radiomic differentiation of breast cancer molecular subtypes using pre-operative breast imaging–A systematic review and meta-analysis
Design and control of a bionic needle puncture robot
Nanomaterial Probes for Nuclear Imaging
Modularized data-driven reconstruction framework for nonideal focal spot effect elimination in computed tomography
COMPUTERISED MEDICAL IMAGE PROCESSING
Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection
Predicting sex from retinal fundus photographs using automated deep learning
Computer-aided diagnosis of COVID-19 disease from chest x-ray images integrating deep feature extraction
The medical segmentation decathlon
Connecting the dots: rethinking the relationship between code and prose writing with functional connectivity
Infrared image filtering and enhancement processing method based upon image processing technology
Detection of lung tumor using dual tree complex wavelet transform and co-active adaptive neuro fuzzy inference system classification approach
Rician noise removal via weighted nuclear norm penalization
Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients
Wasserstein-Based Projections with Applications to Inverse Problems
3D reconstruction based on photoelastic fringes
Explainable classification of weakly annotated wireless capsule endoscopy images based on a fuzzy bag-of-colour features model and brain storm optimization
All-systolic first-pass myocardial rest perfusion at a long saturation time using simultaneous multi-slice imaging and compressed sensing acceleration
Exploring partial intrinsic and extrinsic symmetry in 3D medical imaging
Rigid motion invariant statistical shape modeling based on discrete fundamental forms: Data from the osteoarthritis initiative and the Alzheimer’s disease …
A novel discriminant feature selection–based mutual information extraction from MR brain images for Alzheimer’s stages detection and prediction
Investigation of the impact of normalization on the study of interactions between myocardial shape and deformation
Application of machine learning in diagnosis of COVID-19 through X-ray and CT images: a scoping review
Convolutional neural network with group theory and random selection particle swarm optimizer for enhancing cancer image classification
3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion
Inversion-free geometric mapping construction: A survey
RGB-D salient object detection: A survey
Flat-panel conebeam CT in the clinic: history and current state
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling
Convolutional neural network for accelerating the computation of the extended Tofts model in dynamic contrast-enhanced magnetic resonance imaging
A variational method for Abel inversion tomography with mixed Poisson-Laplace-Gaussian noise
FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images
Interactive medical image segmentation via a point-based interaction

An improved spatially controlled reaction–diffusion equation with a non-linear second order operator for image super-resolution
Optimal weighted hybrid pattern for content based medical image retrieval using modified spider monkey optimization
Improved reproducibility of diffusion MRI of the human brain with a four-way blip-up and down phase-encoding acquisition approach
Extended applications of compressed sensing algorithm in biomedical signal and image compression
Clinical and radiological predictors of epidermal growth factor receptor mutation in nonsmall cell lung cancer
Colloidally Stable Monodisperse Fe Nanoparticles as T2 Contrast Agents for High-Field Clinical and Preclinical Magnetic Resonance Imaging
Sparsifying regularizations for stochastic sample average minimization in ultrasound computed tomography
State estimation with model reduction and shape variability. Application to biomedical problems
Voxelhop: Successive subspace learning for als disease classification using structural mri
Learning topology: bridging computational topology and machine learning
The influence of the activation function in a capsule network for brain tumor type classification
Machine learning applications in radiation oncology
Directional local ternary co-occurrence pattern for natural image retrieval
Medical image analysis based on transformer: A Review
Hybrid method combining superpixel, supervised learning, and random walk for glioma segmentation
Organizational hindrances to Healthcare 4.0 adoption: An multi-criteria decision analysis framework
Generation of computational 3D models of human bones based on STL data and CAD software packages
A study design for statistical learning technique to predict radiological progression with an application of idiopathic pulmonary fibrosis using chest CT images
A competitive generalized gamma mixture model for medical image diagnosis
Evaluation of a similarity anisotropic diffusion denoising approach for improving in vivo CEST-MRI tumor pH imaging
Promises and perils of artificial intelligence in dentistry
A novel grid regression demodulation method for radiographic grid artifact correction
Constrained ellipse fitting for efficient parameter mapping with phase-cycled bssfp mri
Going to extremes: weakly supervised medical image segmentation
Evaluation of a hybrid pipeline for automated segmentation of solid lesions based on mathematical algorithms and deep learning
A characteristic function-based algorithm for geodesic active contours
3D-printed, patient-specific intracranial aneurysm models: From clinical data to flow experiments with endovascular devices
Lung cancer detection and classification with DGMM-RBCNN technique
High-level prior-based loss functions for medical image segmentation: A survey
Target organ non-rigid registration on abdominal CT images via deep-learning based detection
A robust multiclass 3D object recognition based on modern YOLO deep learning algorithms
Medical image inpainting with edge and structure priors
Mitigating site effects in covariance for machine learning in neuroimaging data
Automatic segmentation of temporal bone structures from clinical conventional CT using a CNN approach
Binary segmentation of medical images using implicit spline representations and deep learning
Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications
Biomedical image segmentation by deep learning methods
Refined stability estimates in electrical impedance tomography with multi-layer structure
Human organ phantoms for catheterization using the radiation crosslinking technique
A Hybrid Deep Learning Model for Brain Tumour Classification
The evolving importance of artificial intelligence and radiology in medical trainee education
Survey on using deep learning to detection COVID-19 disease
Generative adversarial networks in medical image processing
CMM-Net: Contextual multi-scale multi-level network for efficient biomedical image segmentation
An efficient DA-net architecture for lung nodule segmentation
Improving generalization in MR-to-CT synthesis in radiotherapy by using an augmented cycle generative adversarial network with unpaired data
Artificial intelligence applied to breast MRI for improved diagnosis
Automatic COVID-19 detection mechanisms and approaches from medical images: a systematic review
A deep learning approach for the photoacoustic tomography recovery from undersampled measurements
Randomly initialized convolutional neural network for the recognition of COVID-19 using X-ray images
Diagnosing of disease using machine learning
A review on deep learning in medical image analysis
Radiological tumour classification across imaging modality and histology
Methods for image denoising using convolutional neural network: a review
Critical point Higgs inflation in the Palatini formulation
An optimized SVM based possibilistic fuzzy c-means clustering algorithm for tumor segmentation
A systematic review of artificial intelligence techniques in cancer prediction and diagnosis
Maximum a posteriori signal recovery for optical coherence tomography angiography image generation and denoising
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review
Clinical Application of Non-Contrast-Enhanced Dixon Water-Fat Separation Compressed SENSE Whole-Heart Coronary MR Angiography at 3.0 T With and Without …
Fetal health classification from cardiotocographic data using machine learning
Acoustoelastic full-waveform inversion for transcranial ultrasound computed tomography
An extension of EDAS method equipped with trapezoidal bipolar fuzzy information: an application from healthcare system
Reference free method for robot CT imaging geometry estimation
The deleterious effects of acute hypoxia on microvascular and large vessel endothelial function
An inertial triple-projection algorithm for solving the split feasibility problem
Developing Bright Green Fluorescent Protein (GFP)-like Fluorogens for Live-Cell Imaging with Nonpolar Protein− Chromophore Interactions
Hybrid electromagnetic-ArUco tracking of laparoscopic ultrasound transducer in laparoscopic video
Transfer learning in magnetic resonance brain imaging: a systematic review
Combined diffusion-relaxometry microstructure imaging: Current status and future prospects
DeepKeyGen: a deep learning-based stream cipher generator for medical image encryption and decryption
A modified fuzzy clustering algorithm based on dynamic relatedness model for image segmentation
A novel fast 3d single image super-resolution algorithm
Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation
Computational intelligence based secure three-party CBIR scheme for medical data for cloud-assisted healthcare applications
Automated detection and reacquisition of motion-degraded images in fetal HASTE imaging at 3 T
A Quantitative Comparison between Shannon and Tsallis–Havrda–Charvat Entropies Applied to Cancer Outcome Prediction
Advances in the application of the dual fluoroscopic imaging system in sports medicine: a literature review
COVID-19 detection using hybrid deep learning model in chest x-rays images
MRI-based clinical-radiomics model predicts tumor response before treatment in locally advanced rectal cancer
Multi-scale tumor localization based on priori guidance-based segmentation method for osteosarcoma MRI images
On Chaos based duo confusion duo diffusion for colour images
Three-dimensional reconstruction of In Vivo human lumbar spine from biplanar radiographs
Radiomics in prostate cancer imaging for a personalized treatment approach-current aspects of methodology and a systematic review on validated studies
Magic: Manifold and graph integrative convolutional network for low-dose ct reconstruction
Time-dependent deep image prior for dynamic MRI
A multicentre and multi-national evaluation of the accuracy of quantitative Lu-177 SPECT/CT imaging performed within the MRTDosimetry project
Real-time molecular imaging of near-surface tissue using Raman spectroscopy
Geodesic fiber tracking in white matter using activation function
Multimodal self-supervised learning for medical image analysis
Spectral CT quantification stability and accuracy for pediatric patients: A phantom study
COVINet: A convolutional neural network approach for predicting COVID-19 from chest X-ray images
Automated detection and segmentation of non-small cell lung cancer computed tomography images
Filtering super-resolution scan conversion of medical ultrasound frames
Highly accelerated aortic 4D flow MRI using compressed sensing: Performance at different acceleration factors in patients with aortic disease
Multi GPU parallelization of maximum likelihood expectation maximization method for digital rock tomography data
Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images
Autonomous In Vivo Computation in Internet of Nano Bio Things
Tangent functional canonical correlation analysis for densities and shapes, with applications to multimodal imaging data
High frame rate (∼ 3 Hz) circular photoacoustic tomography using single-element ultrasound transducer aided with deep learning
Additive manufacturing processes in medical applications
Choose your path wisely: Gradient descent in a Bregman distance framework
Comparison of automated beam hardening correction (ABHC) algorithms for myocardial perfusion imaging using computed tomography
A faster outsourced medical image retrieval scheme with privacy preservation
Breast cancer mitotic cell detection using cascade convolutional neural network with U-Net
Highly accelerated parallel MRI using wave encoding and virtual conjugate coils
Applications of Machine Learning to Imaging of Spinal Disorders: Current Status and Future Directions
Turbulence simulation for anisoplanatic imaging based on phase screens with experimental validation of differential tilt variances
Compressive Sensing-Based Computed Tomography Imaging: An effective approach for COVID-19 Detection
Microwave ablation of lung tumors: A probabilistic approach for simulation-based treatment planning
Fiblets for Real-Time Rendering of Massive Brain Tractograms
A novel method for removing Rician noise from MRI based on variational mode decomposition
Fingerprint-based robust medical image watermarking in hybrid transform
Active label cleaning for improved dataset quality under resource constraints
Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends
Ultrasound-based radiomics: current status, challenges and future opportunities
Medical images transmission over wireless multimedia sensor networks with high data rate
Vendor-independent skin dose mapping application for interventional radiology and cardiology
Accelerated multicontrast reconstruction for synthetic MRI using joint parallel imaging and variable splitting networks
Augmented immersive telemedicine through camera view manipulation controlled by head motions
Towards robust glucose chemical exchange saturation transfer imaging in humans at 3 T: Arterial input function measurements and the effects of infusion time
A neural pathomics framework for classifying colorectal cancer histopathology images based on wavelet multi-scale texture analysis
Computational intelligence in remote sensing image registration: A survey
The Artificial Intelligence in Digital Radiology: Part 2: Towards an Investigation of acceptance and consensus on the Insiders
Artificial intelligence in medicine: Technical basis and clinical applications
QuantileRK: Solving Large-Scale Linear Systems with Corrupted, Noisy Data
A fast method for simultaneous reconstruction and segmentation in X-ray CT application
Perceptions of Math Teachers Working With Students Who Suffer From Math Anxiety: A Collective Case Study
A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms
Direct PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model
Clifford wavelet entropy for fetal ECG extraction
Projection-Based cascaded U-Net model for MR image reconstruction
An efficient U-Net framework for lung nodule detection using densely connected dilated convolutions
Lung parenchyma parameters measure of rats from pulmonary window computed tomography images based on ResU-Net model for medical respiratory …
Hyperpolarized 129Xe MRI of the rat brain with chemical shift saturation recovery and spiral-IDEAL readout
Nonlinear ultrasound imaging modeled by a Westervelt equation
Magnetic resonance imaging assessment of renal flow distribution patterns during ex vivo normothermic machine perfusion in porcine and human kidneys
Generalizability of deep learning models for dental image analysis
Graph-based tag recommendations using clusters of patients in clinical decision support system
Principles and Perspectives of Radiographic Imaging with Muons
Improved contrast and noise of megavoltage computed tomography (MVCT) through cycle-consistent generative machine learning
PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment
Organ segmentation from computed tomography images using the 3D convolutional neural network: a systematic review
Deep learning methods for automatic segmentation of lower leg muscles and bones from MRI scans of children with and without cerebral palsy
Applications and challenges of AI-based algorithms in the COVID-19 pandemic
Machine Learning Based Detection and Classification of Heart Abnormalities
A survey of topology and geometry-constrained segmentation methods in weakly supervised settings
Mathematical model of tumour spheroid experiments with real-time cell cycle imaging
Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers
Brain tumor detection and multi-classification using advanced deep learning techniques
DIR-DBTnet: Deep iterative reconstruction network for three-dimensional digital breast tomosynthesis imaging
An optimized non-local LMMSE approach for speckle noise reduction of medical ultrasound images
Multiplicative noise removal and blind inpainting of ultrasound images based on a new variational framework
Privacy-preserving generative adversarial network for case-based explainability in medical image analysis
Knowledge, attitude, and behavior of Turkish dentists about radiation protection and radiation safety
Data augmentation in high dimensional low sample size setting using a geometry-based variational autoencoder
Dual flip-angle IR-FLASH with spin history mapping for B1+ corrected T1 mapping: Application to T1 cardiovascular magnetic resonance multitasking
Modified Inertial Forward–Backward Algorithm in Banach Spaces and Its Application
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review
Enhancing the spatial resolution of hyperpolarized carbon-13 MRI of human brain metabolism using structure guidance
Semi-automatic ultrasound curve angle measurement for adolescent idiopathic scoliosis
Classification of neonatal diseases with limited thermal Image data
A comprehensive comparison of various patient-specific CFD models of the left atrium for atrial fibrillation patients
Internet of things for healthcare technologies
Recognition of honeycomb lung in CT images based on improved MobileNet model
Absolute choline tissue concentration mapping for prostate cancer localization and characterization using 3D 1H MRSI without water-signal suppression
Dual convolutional neural networks for breast mass segmentation and diagnosis in mammography
Joint Design of RF and gradient waveforms via auto-differentiation for 3D tailored excitation in MRI
Integrating math and science content through covariational reasoning: the case of gravity
COVID-19 Diagnosis from chest CT scans: A weakly supervised CNN-LSTM approach
Reconditioning by Welding of Prosthesis Obtained through Additive Manufacturing
Coronary microcirculation assessment using functional angiography: development of a wire-free method applicable to conventional coronary angiograms
Motion-robust quantitative multiparametric brain MRI with motion-resolved MR multitasking
In vivo liver thermoacoustic imaging and demonstration based on localization wire
Apparent exchange rate imaging: On its applicability and the connection to the real exchange rate
Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity-weighted coil combination
Adaptive CaRdiac cOne BEAm computed Tomography (ACROBEAT): Developing the next generation of cardiac cone beam CT imaging
Strain energy decay predicts elastic registration accuracy from intraoperative data constraints
Diabetic retinopathy severity grading employing quadrant-based Inception-V3 convolution neural network architecture
A new clustering method for the diagnosis of CoVID19 using medical images
Deep learning classification of lung cancer histology using CT images
Parallel Transport on Kendall Shape Spaces
Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey
Tumor edge detection in mammography images using quantum and machine learning approaches
Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images
Identification of sarcomatoid differentiation in renal cell carcinoma by machine learning on multiparametric MRI
Multiple illumination learned spectral decoloring for quantitative optoacoustic oximetry imaging
Characterization of the Mueller Matrix: Purity Space and Reflectance Imaging
Spatial orthogonal attention generative adversarial network for MRI reconstruction
3D dissimilar-siamese-u-net for hyperdense Middle cerebral artery sign segmentation
Self-gated 3D stack-of-spirals UTE pulmonary imaging at 0.55 T
An automated ALARA method for ultrasound: An obstetric ultrasound feasibility study
Joint state-parameter estimation for tumor growth model
MRI brain tumor medical images analysis using deep learning techniques: a systematic review
Magnetic nanoparticles for cancer theranostics: Advances and prospects
Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework
Dynamical interaction effects on soft-bodied organisms in a multi-sinusoidal passage
Characterization of the Mueller Matrix: Purity Space and Reflectance Imaging
Spatial orthogonal attention generative adversarial network for MRI reconstruction
3D dissimilar-siamese-u-net for hyperdense Middle cerebral artery sign segmentation
Self-gated 3D stack-of-spirals UTE pulmonary imaging at 0.55 T
An automated ALARA method for ultrasound: An obstetric ultrasound feasibility study
Joint state-parameter estimation for tumor growth model
MRI brain tumor medical images analysis using deep learning techniques: a systematic review
Magnetic nanoparticles for cancer theranostics: Advances and prospects
Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework
Dynamical interaction effects on soft-bodied organisms in a multi-sinusoidal passage
Automated detection of brain tumor disease using empirical wavelet transform based LBP variants and ant-lion optimization
Characterization of interventional photoacoustic imaging (iPAI) capabilities in biological tissues
Construction of diffeomorphisms with prescribed Jacobian determinant and curl
Experimental evaluation of the GE NM/CT 870 CZT clinical SPECT system equipped with WEHR and MEHRS collimator
Recovering point sources for the inhomogeneous Helmholtz equation
A novel approach for multimodality medical image fusion over secure environment
The nearest neighborhood-based approach for estimating basis line-integrals using photon-counting detector
Solution of an acoustic transmission inverse problem by extended inversion: Theory
Data-Driven Retrospective Correction of B1 Field Inhomogeneity in Fast Macromolecular Proton Fraction and R1 Mapping
On overfitting in discrete super-resolution recovery
Machine learning in electromagnetics with applications to biomedical imaging: A review
Dynamically weighted balanced loss: class imbalanced learning and confidence calibration of deep neural networks
A novel color image encryption based on fractional shifted Gegenbauer moments and 2D logistic-sine map
A novel reconstruction technique for two-dimensional Bragg scatter imaging
Applications of Artificial Intelligence Based on Medical Imaging in Glioma: Current State and Future Challenges
Automatic segmentation of rectal tumor on diffusion-weighted images by deep learning with U-Net
Computing minimal surfaces with differential forms
Treatment response prediction using MRI-based pre-, post-, and delta-radiomic features and machine learning algorithms in colorectal cancer
Numerical solution of inverse problems of wave dynamics in heterogeneous media with convolutional neural networks
MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar
Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey
Retrospective respiratory motion correction in cardiac cine MRI reconstruction using adversarial autoencoder and unsupervised learning
3D 31P MRSI of the human brain at 9.4 Tesla: Optimization and quantitative analysis of metabolic images
A review of diabetic retinopathy: Datasets, approaches, evaluation metrics and future trends
Quantitative assessment of ensemble coherency in contrast-free ultrasound microvasculature imaging
MRI enhancement based on visual-attention by adaptive contrast adjustment and image fusion
Motion estimation and correction for simultaneous PET/MR using SIRF and CIL
A survey of computer-aided tumor diagnosis based on convolutional neural network
Biomechanics in AIMETA
Echocardiographic image multi-structure segmentation using Cardiac-SegNet
Microstructure Determines Apparent-Level Mechanics Despite Tissue-Level Anisotropy and Heterogeneity of Individual Plates and Rods in Normal Human …
Self-Supervised Noise Reduction in Low-Dose Cone Beam Computed Tomography (CBCT) Using the Randomly Dropped Projection Strategy
Digital hair removal by deep learning for skin lesion segmentation
Attention mechanisms in computer vision: A survey
In Vitro Validation of Regional Circumferential Strain Assessment in a Phantom Aortic Model Using Cine Displacement Encoding with Stimulated Echoes MRI
Novel EPR-enhanced strategies for targeted drug delivery in pancreatic cancer: An update
DC-GAN-based synthetic X-ray images augmentation for increasing the performance of EfficientNet for COVID-19 detection
Removal of off-resonance xenon gas artifacts in pulmonary gas-transfer MRI
An efficient and combined placental-ADC acquisition in pregnancies with and without pre-eclampsia
Rconet: Deformable mutual information maximization and high-order uncertainty-aware learning for robust covid-19 detection
Advancement in biosensor:“Telediagnosis” and “remote digital imaging”
An impulse noise removal model algorithm based on logarithmic image prior for medical image
A parallel attention-augmented bilinear network for early magnetic resonance imaging-based diagnosis of Alzheimer’s disease
Accurate Benchmark Computations of the Polarizability Tensor for Characterising Small Conducting Inclusions
Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging
Utilizing flip angle/TR equivalence to reduce breath hold duration in hyperpolarized 129Xe 1-point Dixon gas exchange imaging
Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks
Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers
Homotopic gradients of generative density priors for MR image reconstruction
Metasurfaces for bioelectronics and healthcare
Radiomics-based machine learning differentiates “ground-glass” opacities due to COVID-19 from acute non-COVID-19 lung disease
Lung nodule classification on computed tomography images using deep learning
Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images
A novel color image encryption scheme based on a new dynamic compound chaotic map and S-box
Mathematical Morphology and Spatial Reasoning: Fuzzy and Bipolar Setting
Hybrid-pair ratio adjustable power splitters for add-on RF shimming and array-compressed parallel transmission
Post-radiotherapy PET image outcome prediction by deep learning under biological model guidance: A feasibility study of oropharyngeal cancer application
A material decomposition method for dual-energy CT via dual interactive Wasserstein generative adversarial networks
The impact of 4D flow displacement artifacts on wall shear stress estimation
Low-Field MRI of Stroke: Challenges and Opportunities
Quantitative 1H MRI and MRS of fatty acid composition
Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events
An upgraded siamese neural network for motion tracking in ultrasound image sequences
Effect of learning parameters on the performance of U-Net Model in segmentation of Brain tumor
Pseudo-label-assisted self-organizing maps for brain tissue segmentation in magnetic resonance imaging
Breaking the acoustic diffraction limit with an arbitrary shape acoustic magnifying lens
A Fern Antipodal Vivaldi Antenna for Near-Field Microwave Imaging Medical Applications
Deep learning with adaptive hyper-parameters for low-dose CT image reconstruction
Multiscale DeepONet for nonlinear operators in oscillatory function spaces for building seismic wave responses
Displacement current distribution on a high dielectric constant helmet and its effect on RF field at 10.5 T (447 MHz
Review of Deep Learning Approaches for Thyroid Cancer Diagnosis
Improving mammography lesion classification by optimal fusion of handcrafted and deep transfer learning features
Deep learning on histopathology images for breast cancer classification: a bibliometric analysis
Improved classification of benign and malignant breast lesions using deep feature maximum intensity projection MRI in breast cancer diagnosis using …
Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network
Trends in terahertz biomedical applications
Robust DC optimization and its application in medical image processing
Assessment of Maxillary Molars Interradicular Septum Morphological Characteristics as Criteria for Ideal Immediate Implant Placement—The Advantages of Cone …
Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow
Randomized Wasserstein Barycenter Computation: Resampling with Statistical Guarantees
The evolution of image reconstruction in PET: From filtered back-projection to artificial intelligence
Stability of MRI radiomic features according to various imaging parameters in fast scanned T2-FLAIR for acute ischemic stroke patients
Dementia classification using MR imaging and clinical data with voting based machine learning models
Evaluation of carbon nanotube x-ray source array for stationary head computed tomography
Time dependence in diffusion MRI predicts tissue outcome in ischemic stroke patients
Multimodal medical image fusion based on the spectral total variation and local structural patch measurement
Filter Design for Image Decomposition and Applications to Forensics
Transfer learning approach for classification of histopathology whole slide images
Skin lesion classification using deep learning
Repeatability of IVIM biomarkers from diffusion-weighted MRI in head and neck: Bayesian probability versus neural network
An algorithm for the split feasible problem and image restoration
Entropy-controlled deep features selection framework for grape leaf diseases recognition
Three-dimensional whole-brain simultaneous T1, T2, and T1ρ quantification using MR Multitasking: Method and initial clinical experience in tissue characterization …
Why did European Radiology reject my radiomic biomarker paper? How to correctly evaluate imaging biomarkers in a clinical setting
What is new in computer vision and artificial intelligence in medical image analysis applications
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier
Sample canonical correlation coefficients of high-dimensional random vectors with finite rank correlations
A binary search algorithm for univariate data approximation and estimation of extrema by piecewise monotonic constraints
Development of intuitionistic fuzzy special embedded convolutional neural network for mammography enhancement
Ligand assisted growth of perovskite single crystals with low defect density
Double medical images zero-watermarking algorithm based on the chaotic system and ternary accurate polar complex exponential transform
Quantifying the unknown impact of segmentation uncertainty on image-based simulations
Basic of machine learning and deep learning in imaging for medical physicists
A variational saturation-value model for image decomposition: Illumination and reflectance
CeO2 Nanoparticle-Containing Polymers for Biomedical Applications: A Review
Extending upon a transfer learning approach for brain tumour segmentation
Ill-Posed Problems: From Linear to Nonlinear and Beyond
A retrospective study on the potential of 99mTc-HDP imaging before therapy for individualizing treatments with 223Ra-Cl2 for metastatic castration resistant …
Topology-guided cyclic brain connectivity generation using geometric deep learning
Artificial intelligence in molecular imaging
On an artificial neural network for inverse scattering problems
Inverse optimization: Theory and applications
Rethinking architecture design for tackling data heterogeneity in federated learning
A survey on graph-based deep learning for computational histopathology
Software implementation of the Krylov methods based reconstruction for the 3D cone beam CT operator
COVID-19 case recognition from chest CT images by deep learning, entropy-controlled firefly optimization, and parallel feature fusion
Improvement of 3-D Ultrasound Spine Imaging Technique Using Fast Reconstruction Algorithm
A multigrid algorithm for maxflow and min-cut problems with applications to multiphase image segmentation
A novel transfer learning approach for the classification of histological images of colorectal cancer
Relationship between neural responses to stress and mental health symptoms in psychogenic nonepileptic seizures after traumatic brain injury
A novel opposition based improved firefly algorithm for multilevel image segmentation
Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R-CNN
Four-dimensional computed tomography of the left ventricle, Part I: motion artifact reduction
Ridge detection by image filtering techniques: a review and an objective analysis
Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIs
Near-Exact Recovery for Sparse-View CT via Data-Driven Methods
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images
Application of artificial intelligence in the MRI classification task of human brain neurological and psychiatric diseases: a scoping review
Industrial tomographic gamma scan for demister evaluation
Characterizing fibrosis and inflammation in a partial bile duct ligation mouse model by multiparametric magnetic resonance imaging
Dosimetric evaluation of MRI-guided multi-leaf collimator tracking and trailing for lung stereotactic body radiation therapy
Fractal dimension of coastline of Australia
Boundary ghosts for discrete tomography
Diagnosis/prognosis of covid-19 chest images via machine learning and hypersignal processing: Challenges, opportunities, and applications
Tens of images can suffice to train neural networks for malignant leukocyte detection
An intelligent IoMT enabled feature extraction method for early detection of knee arthritis
Sensitivity of fiber orientation dependent to temperature and post mortem interval
Automated classification of retinal images into AMD/non-AMD Class—a study using multi-threshold and Gassian-filter enhanced images
A regression-based approach to compute the pixels sensitivity map of linear accelerator portal imaging devices
Ultrasonic thyroid nodule detection method based on U-Net network
Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation
Spectral imaging with deep learning
Evaluation of a commercial synthetic computed tomography generation solution for magnetic resonance imaging-only radiotherapy
Application of MUSIC algorithm in real-world microwave imaging of unknown anomalies from scattering matrix
CT imaging of gold nanoparticles in a human-sized phantom
The cluster analysis and feature selection: Perspective of machine learning and image processing
Analysis of lung cancer by using deep neural network
Accelerated parameter tuning of antenna structures using inverse and f eature-based forward kriging surrogates
Just another “Clever Hans”? Neural networks and FDG PET-CT to predict the outcome of patients with breast cancer
Utility of T2-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: A single-arm, multicenter study
Computer-aided diagnosis of hepatocellular carcinoma fusing imaging and structured health data
Inverse transport and diffusion problems in photoacoustic imaging with nonlinear absorption
Systematic Review on the Association of Radiomics with Tumor Biological Endpoints
Statistical analysis of organs’ shapes and deformations: the Riemannian and the affine settings in computational anatomy
A novel intuitionistic fuzzy soft set based colonogram enhancement for polyps localization
Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review
Msenet: Multi-modal squeeze-and-excitation network for brain tumor severity prediction
Domain adaptation for medical image analysis: a survey
Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization
Classification of imbalanced oral cancer image data from high-risk population
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Recent advances in multimodal molecular imaging of cancer mediated by hybrid magnetic nanoparticles
An SCADTV nonconvex regularization approach for magnetic resonance imaging
Detectability assessment of an x-ray imaging system using the nodes in a wavelet packet decomposition of a star–bar object
A single-mode model of cross-sectional method in a smoothly irregular transition between planar thin-film dielectric waveguides
Design of a computed tomography automation architecture
A systematic evaluation of medical 3D printing accuracy of multi-pathological anatomical models for surgical planning manufactured in elastic and rigid material using …
Deformation measurement in the presence of discontinuities with digital image correlation: A review
Real-time biomechanics using the finite element method and machine learning: Review and perspective
Rapid simultaneous acquisition of macromolecular tissue volume, susceptibility, and relaxometry maps
Significant Medical Image Compression Techniques: A Review
Application of multiscale coupling models in the numerical study of circulation system
Micro-CT-Based quantification of extracted thrombus burden characteristics and association with angiographic outcomes in patients with ST-elevation …
Early diagnosis model of Alzheimer’s Disease based on sparse logistic regression
Nonsubsampled contourlet transform with cross-guided bilateral filter for despeckling of medical ultrasound images
Quantile-based iterative methods for corrupted systems of linear equations
A deep learning framework for glaucoma detection based on robust optic disc segmentation and transfer learning
On a three-dimensional Compton scattering tomography system with fixed source
Artificial intelligence performance in detecting tumor metastasis from medical radiology imaging: A systematic review and meta-analysis
Strength training restores force-generating capacity in patients with schizophrenia
A review of medical image segmentation algorithms
Extending Camera’s Capabilities in Low Light Conditions Based on LIP Enhancement Coupled with CNN Denoising
Design of a secured telehealth system based on multiple biosignals diagnosis and classification for IoT application.

Percolation	Metamaterials	Medical Imaging
H-principles	Applied And Computational Geometry	Algebraic k-theory
Phase transition	Large deviation	interfacial phenomena

Computational Geometry	Generalized complex geometry	Graphs clustering
Graphs Limits	Hydrodynamic quantum	Interfacial Phenomena
Nonlinear partial differential equations	Large deviations	Partial differential equations, Nonlinear analysis

PhD. Math Thesis Topics

More Research Topics on Medical Imaging

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