IEEE Transactions on Medical Imaging

Papers
(The H4-Index of IEEE Transactions on Medical Imaging is 73. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation1641
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images712
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets617
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT443
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound402
Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening335
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation313
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images309
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia280
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation280
Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images247
A Multi-Organ Nucleus Segmentation Challenge245
Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning231
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading226
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation225
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation214
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection204
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification197
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning184
Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images182
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index174
Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis171
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis171
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images169
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge162
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network162
CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading154
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation149
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data148
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model142
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis142
Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation131
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model128
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans126
ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis116
Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound116
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction109
Unpaired Multi-Modal Segmentation via Knowledge Distillation108
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation105
Adaptive Ultrasound Beamforming Using Deep Learning105
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction104
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images103
FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging101
DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction100
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images99
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection99
Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound98
Guided Soft Attention Network for Classification of Breast Cancer Histopathology Images96
Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction96
Missing MRI Pulse Sequence Synthesis Using Multi-Modal Generative Adversarial Network94
Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module94
Dense Dilated Network With Probability Regularized Walk for Vessel Detection93
Dual Attention Multi-Instance Deep Learning for Alzheimer’s Disease Diagnosis With Structural MRI91
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability90
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations89
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation88
Image Projection Network: 3D to 2D Image Segmentation in OCTA Images88
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis87
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers84
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation84
Radon Inversion via Deep Learning83
Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods82
Multi-Contrast Super-Resolution MRI Through a Progressive Network80
Super Wide-Field Photoacoustic Microscopy of Animals and Humans In Vivo77
SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation77
Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling77
Comparison of Objective Image Quality Metrics to Expert Radiologists’ Scoring of Diagnostic Quality of MR Images76
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification76
Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans75
Super-Resolution Ultrasound Localization Microscopy Through Deep Learning75
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification74
Label-Free Segmentation of COVID-19 Lesions in Lung CT74
Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis73
3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography73
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