IEEE Transactions on Medical Imaging

Papers
(The H4-Index of IEEE Transactions on Medical Imaging is 68. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation395
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection244
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis236
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index229
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge221
CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading202
ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis201
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images194
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation188
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model186
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model167
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction159
FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging147
DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction137
Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction131
Dual Attention Multi-Instance Deep Learning for Alzheimer’s Disease Diagnosis With Structural MRI128
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation124
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images123
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation123
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers122
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability118
Image Projection Network: 3D to 2D Image Segmentation in OCTA Images118
Adaptive Ultrasound Beamforming Using Deep Learning118
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations115
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis113
Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module113
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation101
Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation99
Unsupervised Medical Image Translation With Adversarial Diffusion Models99
Structure and Illumination Constrained GAN for Medical Image Enhancement96
SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning96
Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN95
Super-Resolution Ultrasound Localization Microscopy Through Deep Learning95
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-Lesion Segmentation95
SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation94
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification93
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets92
Label-Free Segmentation of COVID-19 Lesions in Lung CT92
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity92
Efficient Medical Image Segmentation Based on Knowledge Distillation92
Modeling and Enhancing Low-Quality Retinal Fundus Images91
MISSFormer: An Effective Transformer for 2D Medical Image Segmentation85
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge85
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis84
Inter-Slice Context Residual Learning for 3D Medical Image Segmentation84
Content-Noise Complementary Learning for Medical Image Denoising84
Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images81
Cardiac Segmentation With Strong Anatomical Guarantees81
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images81
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images81
Time-Dependent Deep Image Prior for Dynamic MRI80
SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image78
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification77
A Graph-Transformer for Whole Slide Image Classification77
Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning77
Global-Local Transformer for Brain Age Estimation76
Deep-Learning Image Reconstruction for Real-Time Photoacoustic System75
AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images75
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping75
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation74
Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks73
CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging73
Identification of Melanoma From Hyperspectral Pathology Image Using 3D Convolutional Networks72
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning71
Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis70
Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging70
Domain Knowledge Powered Deep Learning for Breast Cancer Diagnosis Based on Contrast-Enhanced Ultrasound Videos68
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning68
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