IEEE Transactions on Medical Imaging

Papers
(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 2020-02-01 to 2024-02-01.)
ArticleCitations
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation1572
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images686
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets612
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT433
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound397
Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening326
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images299
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation295
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia274
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation268
Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks250
Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images238
A Multi-Organ Nucleus Segmentation Challenge233
Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning225
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading215
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation215
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation209
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection197
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification191
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning181
Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images180
${k}$ -Space Deep Learning for Accelerated MRI175
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images166
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index161
Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis160
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis160
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network154
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge153
CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading149
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation146
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data145
A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection144
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model138
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis137
Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation129
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model122
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans121
Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound111
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction107
Unpaired Multi-Modal Segmentation via Knowledge Distillation104
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation102
Adaptive Ultrasound Beamforming Using Deep Learning101
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images100
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction100
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 Projection97
Guided Soft Attention Network for Classification of Breast Cancer Histopathology Images96
ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis96
Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound95
FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging94
Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction93
Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module92
Dense Dilated Network With Probability Regularized Walk for Vessel Detection90
DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction90
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection89
Missing MRI Pulse Sequence Synthesis Using Multi-Modal Generative Adversarial Network89
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations86
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability84
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis83
Image Projection Network: 3D to 2D Image Segmentation in OCTA Images82
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers81
Dual Attention Multi-Instance Deep Learning for Alzheimer’s Disease Diagnosis With Structural MRI81
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation79
Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods78
Multi-Contrast Super-Resolution MRI Through a Progressive Network78
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation76
Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling76
SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation76
Radon Inversion via Deep Learning75
Super Wide-Field Photoacoustic Microscopy of Animals and Humans In Vivo74
Comparison of Objective Image Quality Metrics to Expert Radiologists’ Scoring of Diagnostic Quality of MR Images74
Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans73
Super-Resolution Ultrasound Localization Microscopy Through Deep Learning72
3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images72
Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis71
Deep Learning for Ultrasound Localization Microscopy70
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification70
SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning70
3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography70
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification70
Label-Free Segmentation of COVID-19 Lesions in Lung CT69
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners68
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images67
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge67
Deep Learning Diffuse Optical Tomography66
Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation65
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images65
Inter-Slice Context Residual Learning for 3D Medical Image Segmentation64
Modeling and Enhancing Low-Quality Retinal Fundus Images64
Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN64
Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising63
Cardiac Segmentation With Strong Anatomical Guarantees63
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity62
Deep-Learning Image Reconstruction for Real-Time Photoacoustic System62
Deep Neural Networks for Chronological Age Estimation From OPG Images61
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification60
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation60
Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition60
Domain Knowledge Powered Deep Learning for Breast Cancer Diagnosis Based on Contrast-Enhanced Ultrasound Videos58
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data58
Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning58
Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging58
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge58
One-Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking57
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis57
Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images56
Identification of Melanoma From Hyperspectral Pathology Image Using 3D Convolutional Networks55
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets55
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients55
Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning54
Structure and Illumination Constrained GAN for Medical Image Enhancement54
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-Lesion Segmentation54
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping54
Efficient Medical Image Segmentation Based on Knowledge Distillation54
Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI53
Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography53
Uncertainty Quantification in Deep MRI Reconstruction52
Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks52
Visualization of White Matter Fiber Tracts of Brain Tissue Sections With Wide-Field Imaging Mueller Polarimetry50
Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation50
Content-Noise Complementary Learning for Medical Image Denoising48
CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging48
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages47
In Vivo Demonstration of Photoacoustic Image Guidance and Robotic Visual Servoing for Cardiac Catheter-Based Interventions47
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge47
Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks47
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation47
MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction47
Time-Dependent Deep Image Prior for Dynamic MRI47
Temporal Memory Relation Network for Workflow Recognition From Surgical Video47
4D Functional Imaging of the Rat Brain Using a Large Aperture Row-Column Array47
Microwave Imaging of Breast Tumor Using Time-Domain UWB Circular-SAR Technique47
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification47
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening46
Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis46
Global-Local Transformer for Brain Age Estimation46
mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification46
Block Level Skip Connections Across Cascaded V-Net for Multi-Organ Segmentation46
SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors46
Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging46
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning45
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation45
A Polarization-Imaging-Based Machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions44
Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification via Dominant Set Clustering43
A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy43
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans43
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images43
Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis43
Detecting Deficient Coverage in Colonoscopies43
Noise Adaptation Generative Adversarial Network for Medical Image Analysis42
Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification42
3D Shape Modeling and Analysis of Retinal Microvasculature in OCT-Angiography Images42
A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI42
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels42
DU-Net: Convolutional Network for the Detection of Arterial Calcifications in Mammograms42
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images41
Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge41
Video-Rate Ring-Array Ultrasound and Photoacoustic Tomography41
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates41
Super-Resolution Enhanced Medical Image Diagnosis With Sample Affinity Interaction40
Multi-Modal Retinal Image Classification With Modality-Specific Attention Network40
Learned Low-Rank Priors in Dynamic MR Imaging40
Fetal Congenital Heart Disease Echocardiogram Screening Based on DGACNN: Adversarial One-Class Classification Combined with Video Transfer Learning40
SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image39
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation39
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data39
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features39
K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence39
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation39
Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis39
Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images39
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images39
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction38
Multi-Domain Image Completion for Random Missing Input Data38
SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images38
A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images38
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis38
SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images38
Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm38
Augmented Reality Guided Laparoscopic Surgery of the Uterus37
3D Neuron Reconstruction in Tangled Neuronal Image With Deep Networks37
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation37
Specular Reflections Removal for Endoscopic Image Sequences With Adaptive-RPCA Decomposition37
CANet: Context Aware Network for Brain Glioma Segmentation37
Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation36
On Hallucinations in Tomographic Image Reconstruction36
CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation36
Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer’s Disease Prediction36
Multi-Modal Co-Learning for Liver Lesion Segmentation on PET-CT Images36
Development and Initial Results of a Brain PET Insert for Simultaneous 7-Tesla PET/MRI Using an FPGA-Only Signal Digitization Method35
Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders35
Shape Reconstruction Using Boolean Operations in Electrical Impedance Tomography35
Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction35
Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer’s Disease Diagnosis34
CT Image-Guided Electrical Impedance Tomography for Medical Imaging34
Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network34
Induced-Current Learning Method for Nonlinear Reconstructions in Electrical Impedance Tomography34
Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation34
Deep Learning for Ultrasound Beamforming in Flexible Array Transducer34
A Graph-Transformer for Whole Slide Image Classification34
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images34
Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation34
Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation34
Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography34
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI34
Brain Age Estimation From MRI Using Cascade Networks With Ranking Loss33
Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation33
A Question-Centric Model for Visual Question Answering in Medical Imaging33
Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model32
Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising32
Unsupervised CT Metal Artifact Learning Using Attention-Guided β-CycleGAN32
K-Nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography32
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification32
Wasserstein GANs for MR Imaging: From Paired to Unpaired Training32
Constrained Magnetic Resonance Spectroscopic Imaging by Learning Nonlinear Low-Dimensional Models32
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT32
Progressively Trained Convolutional Neural Networks for Deformable Image Registration32
Self-Supervised Learning for Few-Shot Medical Image Segmentation31
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention31
Automatic Diagnosis Based on Spatial Information Fusion Feature for Intracranial Aneurysm31
Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-6731
Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model31
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images31
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction31
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data31
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint31
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models31
Myocardial Function Imaging in Echocardiography Using Deep Learning31
Learn to Threshold: ThresholdNet With Confidence-Guided Manifold Mixup for Polyp Segmentation31
Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation30
MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI30
TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging30
Kinetic Modeling of Hyperpolarized Carbon-13 Pyruvate Metabolism in the Human Brain30
Measuring Image Resolution in Ultrasound Localization Microscopy30
Global and Local Feature Reconstruction for Medical Image Segmentation30
Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging30
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition30
Learning the Sampling Pattern for MRI30
CT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose Levels30
Spatiotemporal Antialiasing in Photoacoustic Computed Tomography30
Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images29
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer29
Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation29
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography29
DeepBranch: Deep Neural Networks for Branch Point Detection in Biomedical Images29
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning29
Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation29
Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases29
Multi-Frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained Sparse Bayesian Learning28
GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs28
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