IEEE Transactions on Medical Imaging

(The TQCC of IEEE Transactions on Medical Imaging is 18. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-07-01 to 2024-07-01.)
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images771
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets650
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT458
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound428
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation356
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation333
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images328
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia288
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation254
Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning242
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation238
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection225
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification219
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index205
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis200
Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis192
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning191
Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images189
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge188
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images185
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network183
CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading178
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation173
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data164
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model162
ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis155
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis149
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model148
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction139
FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging128
Unpaired Multi-Modal Segmentation via Knowledge Distillation118
DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction117
Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction116
Adaptive Ultrasound Beamforming Using Deep Learning113
Dual Attention Multi-Instance Deep Learning for Alzheimer’s Disease Diagnosis With Structural MRI111
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation109
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images108
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers108
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images107
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation107
Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module106
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations106
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis105
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability104
Image Projection Network: 3D to 2D Image Segmentation in OCTA Images104
Multi-Contrast Super-Resolution MRI Through a Progressive Network100
Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation91
Label-Free Segmentation of COVID-19 Lesions in Lung CT86
Super-Resolution Ultrasound Localization Microscopy Through Deep Learning85
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation84
SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation84
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity83
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge82
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-Lesion Segmentation82
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners81
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification81
Modeling and Enhancing Low-Quality Retinal Fundus Images80
Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN80
Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans80
SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning79
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification79
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge77
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images76
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification74
Cardiac Segmentation With Strong Anatomical Guarantees74
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images74
Deep Learning for Ultrasound Localization Microscopy74
Inter-Slice Context Residual Learning for 3D Medical Image Segmentation73
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets73
Efficient Medical Image Segmentation Based on Knowledge Distillation72
Deep Neural Networks for Chronological Age Estimation From OPG Images72
Structure and Illumination Constrained GAN for Medical Image Enhancement72
Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images72
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis71
Content-Noise Complementary Learning for Medical Image Denoising71
Deep-Learning Image Reconstruction for Real-Time Photoacoustic System70
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping69
Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning69
One-Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking68
Identification of Melanoma From Hyperspectral Pathology Image Using 3D Convolutional Networks65
Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning64
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation64
Domain Knowledge Powered Deep Learning for Breast Cancer Diagnosis Based on Contrast-Enhanced Ultrasound Videos64
CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging62
Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI62
Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation62
Time-Dependent Deep Image Prior for Dynamic MRI62
Global-Local Transformer for Brain Age Estimation61
Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis61
Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging61
SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image60
Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks58
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning58
Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography57
Uncertainty Quantification in Deep MRI Reconstruction57
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels55
Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks55
MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction55
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages55
A Graph-Transformer for Whole Slide Image Classification55
A Polarization-Imaging-Based Machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions54
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge54
Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation54
Unsupervised Medical Image Translation With Adversarial Diffusion Models54
Visualization of White Matter Fiber Tracts of Brain Tissue Sections With Wide-Field Imaging Mueller Polarimetry54
Multi-Modal Retinal Image Classification With Modality-Specific Attention Network53
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features52
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation51
Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis51
SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors51
Block Level Skip Connections Across Cascaded V-Net for Multi-Organ Segmentation51
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening51
Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm51
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images51
On Hallucinations in Tomographic Image Reconstruction50
Self-Supervised Learning for Few-Shot Medical Image Segmentation50
Temporal Memory Relation Network for Workflow Recognition From Surgical Video50
Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis49
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis49
SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images49
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation48
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images48
Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images47
Super-Resolution Enhanced Medical Image Diagnosis With Sample Affinity Interaction47
Video-Rate Ring-Array Ultrasound and Photoacoustic Tomography47
Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising47
A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy47
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation47
Multi-Modal Graph Learning for Disease Prediction47
MISSFormer: An Effective Transformer for 2D Medical Image Segmentation47
Detecting Deficient Coverage in Colonoscopies46
Multi-Domain Image Completion for Random Missing Input Data46
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning46
Augmented Reality Guided Laparoscopic Surgery of the Uterus46
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction45
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates45
SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images45
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation44
AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images44
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI44
Learned Low-Rank Priors in Dynamic MR Imaging44
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography44
CANet: Context Aware Network for Brain Glioma Segmentation44
DU-Net: Convolutional Network for the Detection of Arterial Calcifications in Mammograms43
TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging43
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images43
Retinal Vessel Segmentation With Skeletal Prior and Contrastive Loss42
A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images42
DIOR: Deep Iterative Optimization-Based Residual-Learning for Limited-Angle CT Reconstruction42
A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images42
Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer’s Disease Diagnosis42
Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation41
Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images41
Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network41
Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation40
Myocardial Function Imaging in Echocardiography Using Deep Learning40
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention40
Learn to Threshold: ThresholdNet With Confidence-Guided Manifold Mixup for Polyp Segmentation40
Multi-Modal Co-Learning for Liver Lesion Segmentation on PET-CT Images40
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network40
CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation40
Brain Age Estimation From MRI Using Cascade Networks With Ranking Loss40
Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images40
D2-Net: Dual Disentanglement Network for Brain Tumor Segmentation With Missing Modalities39
Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation39
Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation39
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT39
Wasserstein GANs for MR Imaging: From Paired to Unpaired Training39
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation39
Shape Reconstruction Using Boolean Operations in Electrical Impedance Tomography39
Federated Learning of Generative Image Priors for MRI Reconstruction38
Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM38
Unsupervised CT Metal Artifact Learning Using Attention-Guided β-CycleGAN37
Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images37
Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation37
CT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose Levels37
Graph-Based Region and Boundary Aggregation for Biomedical Image Segmentation37
Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders37
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation37
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer37
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification37
A Question-Centric Model for Visual Question Answering in Medical Imaging37
Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation37
Development and Initial Results of a Brain PET Insert for Simultaneous 7-Tesla PET/MRI Using an FPGA-Only Signal Digitization Method37
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint36
Deep Learning for Ultrasound Beamforming in Flexible Array Transducer36
Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation36
Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation36
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)36
GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs36
Measuring Image Resolution in Ultrasound Localization Microscopy36
Global and Local Feature Reconstruction for Medical Image Segmentation36
Multimodal Transformer for Accelerated MR Imaging36
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition35
Tomographic Field Free Line Magnetic Particle Imaging With an Open-Sided Scanner Configuration35
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT35
Learning the Sampling Pattern for MRI35
Discriminative Regularized Auto-Encoder for Early Detection of Knee OsteoArthritis: Data from the Osteoarthritis Initiative35
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images35
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification35
K-Nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography35
UHR-DeepFMT: Ultra-High Spatial Resolution Reconstruction of Fluorescence Molecular Tomography Based on 3-D Fusion Dual-Sampling Deep Neural Network34
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction34
Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks33
Spatiotemporal Antialiasing in Photoacoustic Computed Tomography33
EndoL2H: Deep Super-Resolution for Capsule Endoscopy33
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning33
Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation32
Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation32
Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging32
A Synthetic Total Impulse Response Characterization Method for Correction of Hand-Held Optoacoustic Images32
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling32
The SVD Beamformer: Physical Principles and Application to Ultrafast Adaptive Ultrasound32
Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs32
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging32
3D Neuron Microscopy Image Segmentation via the Ray-Shooting Model and a DC-BLSTM Network32
Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-Task Deep Generative Model31
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation31
Multi-Frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained Sparse Bayesian Learning31
Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks31
An Annotation-Free Restoration Network for Cataractous Fundus Images31
Learning With Context Feedback Loop for Robust Medical Image Segmentation31
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages31
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification31
Artifact and Detail Attention Generative Adversarial Networks for Low-Dose CT Denoising31
Model-Based Reconstruction of Large Three-Dimensional Optoacoustic Datasets31
Direct Quantification of Coronary Artery Stenosis Through Hierarchical Attentive Multi-View Learning30
PathSRGAN: Multi-Supervised Super-Resolution for Cytopathological Images Using Generative Adversarial Network30
Displacement Imaging for Focused Ultrasound Peripheral Nerve Neuromodulation30
Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy30
Multi-Objective Evolutionary Algorithm for PET Image Reconstruction: Concept30
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion30
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning30
Misshapen Pelvis Landmark Detection With Local-Global Feature Learning for Diagnosing Developmental Dysplasia of the Hip30
B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI30
Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation29
Automatic Staging for Retinopathy of Prematurity With Deep Feature Fusion and Ordinal Classification Strategy29
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images29
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method29
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans29
MsTGANet: Automatic Drusen Segmentation From Retinal OCT Images29
MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET29
Physics-Informed Neural Networks for Brain Hemodynamic Predictions Using Medical Imaging29
Weakly Supervised Cell Segmentation by Point Annotation29
Deep Learning-Based Development of Personalized Human Head Model With Non-Uniform Conductivity for Brain Stimulation28
Regional Lung Perfusion Analysis in Experimental ARDS by Electrical Impedance and Computed Tomography28
Learning With Privileged Multimodal Knowledge for Unimodal Segmentation28
Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-1928
Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN28
Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network28