OOIR: Observatory of International Research

Papers

(The TQCC of IEEE Transactions on Medical Imaging is 19. 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.)

Article	Citations
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation	395
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection	244
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis	236
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index	229
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge	221
CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading	202
ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis	201
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images	194
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation	188
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model	186
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model	167
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction	159
FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging	147
DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction	137
Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction	131
Dual Attention Multi-Instance Deep Learning for Alzheimer’s Disease Diagnosis With Structural MRI	128
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation	124
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images	123
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation	123
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers	122
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability	118
Image Projection Network: 3D to 2D Image Segmentation in OCTA Images	118
Adaptive Ultrasound Beamforming Using Deep Learning	118
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations	115
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis	113

Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module	113
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation	101
Unsupervised Medical Image Translation With Adversarial Diffusion Models	99
Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation	99
SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning	96
Structure and Illumination Constrained GAN for Medical Image Enhancement	96
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-Lesion Segmentation	95
Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN	95
Super-Resolution Ultrasound Localization Microscopy Through Deep Learning	95
SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation	94
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification	93
Efficient Medical Image Segmentation Based on Knowledge Distillation	92
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets	92
Label-Free Segmentation of COVID-19 Lesions in Lung CT	92
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity	92
Modeling and Enhancing Low-Quality Retinal Fundus Images	91
MISSFormer: An Effective Transformer for 2D Medical Image Segmentation	85
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge	85
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis	84
Inter-Slice Context Residual Learning for 3D Medical Image Segmentation	84
Content-Noise Complementary Learning for Medical Image Denoising	84
Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images	81
Cardiac Segmentation With Strong Anatomical Guarantees	81
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images	81
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images	81
Time-Dependent Deep Image Prior for Dynamic MRI	80
SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image	78
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification	77
A Graph-Transformer for Whole Slide Image Classification	77
Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning	77
Global-Local Transformer for Brain Age Estimation	76
Deep-Learning Image Reconstruction for Real-Time Photoacoustic System	75
AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images	75
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping	75
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation	74
Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks	73
CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging	73
Identification of Melanoma From Hyperspectral Pathology Image Using 3D Convolutional Networks	72
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning	71
Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by ¹⁸F-FDG Brain PET Imaging	70
Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis	70
Domain Knowledge Powered Deep Learning for Breast Cancer Diagnosis Based on Contrast-Enhanced Ultrasound Videos	68
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning	68
MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction	67
Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning	67
Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation	66
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features	61
Uncertainty Quantification in Deep MRI Reconstruction	61
Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation	60
On Hallucinations in Tomographic Image Reconstruction	60

Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels	60
Self-Supervised Learning for Few-Shot Medical Image Segmentation	59
Multi-Modal Retinal Image Classification With Modality-Specific Attention Network	59
A Polarization-Imaging-Based Machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions	58
Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm	58
Multi-Modal Graph Learning for Disease Prediction	58
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge	58
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation	58
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation	58
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation	56
Temporal Memory Relation Network for Workflow Recognition From Surgical Video	56
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates	56
Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks	56
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening	55
Visualization of White Matter Fiber Tracts of Brain Tissue Sections With Wide-Field Imaging Mueller Polarimetry	55
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images	55
SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images	54
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis	54
SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors	54
Super-Resolution Enhanced Medical Image Diagnosis With Sample Affinity Interaction	54
Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis	54
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images	54
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT	53
A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy	53
Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer’s Disease Diagnosis	51
Video-Rate Ring-Array Ultrasound and Photoacoustic Tomography	51
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images	51
Multi-Domain Image Completion for Random Missing Input Data	50
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction	50
Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images	50
Learned Low-Rank Priors in Dynamic MR Imaging	50
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography	49
Brain Age Estimation From MRI Using Cascade Networks With Ranking Loss	49
Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation	49
TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging	49
SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images	48
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention	48
CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation	48
Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising	48
Detecting Deficient Coverage in Colonoscopies	48
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation	48
CANet: Context Aware Network for Brain Glioma Segmentation	48
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation	47
Augmented Reality Guided Laparoscopic Surgery of the Uterus	47
Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM	47
Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation	47
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification	46
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI	46
Retinal Vessel Segmentation With Skeletal Prior and Contrastive Loss	46
H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation	46
Graph-Based Region and Boundary Aggregation for Biomedical Image Segmentation	46
Measuring Image Resolution in Ultrasound Localization Microscopy	46
A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images	46
Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation	45
Federated Learning of Generative Image Priors for MRI Reconstruction	45
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging	45
Learn to Threshold: ThresholdNet With Confidence-Guided Manifold Mixup for Polyp Segmentation	45
Global and Local Feature Reconstruction for Medical Image Segmentation	45
DIOR: Deep Iterative Optimization-Based Residual-Learning for Limited-Angle CT Reconstruction	44
Multimodal Transformer for Accelerated MR Imaging	44
Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images	44
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network	44
Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images	44
D²-Net: Dual Disentanglement Network for Brain Tumor Segmentation With Missing Modalities	44
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer	43
Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images	43
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint	43
Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network	43
Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders	43
Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation	43
Multi-Modal Co-Learning for Liver Lesion Segmentation on PET-CT Images	43
GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs	42
Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation	42
Myocardial Function Imaging in Echocardiography Using Deep Learning	42
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis	41
Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation	40
Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation	40
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)	40
Wasserstein GANs for MR Imaging: From Paired to Unpaired Training	40
CT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose Levels	40

Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation	39
Unsupervised CT Metal Artifact Learning Using Attention-Guided β-CycleGAN	39
Development and Initial Results of a Brain PET Insert for Simultaneous 7-Tesla PET/MRI Using an FPGA-Only Signal Digitization Method	39
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion	39
Physics-Informed Neural Networks for Brain Hemodynamic Predictions Using Medical Imaging	39
Learning With Privileged Multimodal Knowledge for Unimodal Segmentation	39
Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation	38
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification	38
Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks	38
Artifact and Detail Attention Generative Adversarial Networks for Low-Dose CT Denoising	38
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT	38
Tomographic Field Free Line Magnetic Particle Imaging With an Open-Sided Scanner Configuration	38
BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks	38
Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network	38
Deep Learning for Ultrasound Beamforming in Flexible Array Transducer	37
Spatiotemporal Antialiasing in Photoacoustic Computed Tomography	37
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition	37
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation	37
Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation	37
LViT: Language Meets Vision Transformer in Medical Image Segmentation	37
B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI	36
Learning the Sampling Pattern for MRI	36
Misshapen Pelvis Landmark Detection With Local-Global Feature Learning for Diagnosing Developmental Dysplasia of the Hip	36
An Annotation-Free Restoration Network for Cataractous Fundus Images	36
Generative Consistency for Semi-Supervised Cerebrovascular Segmentation From TOF-MRA	36
EndoL2H: Deep Super-Resolution for Capsule Endoscopy	36
Low-Dose CT Denoising via Sinogram Inner-Structure Transformer	36
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging	35
3D Neuron Microscopy Image Segmentation via the Ray-Shooting Model and a DC-BLSTM Network	35
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction	35
MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET	35
Learning With Context Feedback Loop for Robust Medical Image Segmentation	35
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning	35
UHR-DeepFMT: Ultra-High Spatial Resolution Reconstruction of Fluorescence Molecular Tomography Based on 3-D Fusion Dual-Sampling Deep Neural Network	35
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans	35
Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging	35
Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs	34
Deep Relation Transformer for Diagnosing Glaucoma With Optical Coherence Tomography and Visual Field Function	34
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training	34
Virtual Adversarial Training-Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification	34
Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19	34
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images	33
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages	33
Specificity-Preserving Federated Learning for MR Image Reconstruction	33
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation	33
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation	33
Multi-Frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained Sparse Bayesian Learning	33
Multi-Scale Pathological Fluid Segmentation in OCT With a Novel Curvature Loss in Convolutional Neural Network	32
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling	32
Displacement Imaging for Focused Ultrasound Peripheral Nerve Neuromodulation	32
Automatic Staging for Retinopathy of Prematurity With Deep Feature Fusion and Ordinal Classification Strategy	32
MsTGANet: Automatic Drusen Segmentation From Retinal OCT Images	32
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification	32
Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation	32
Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network	32
Weakly Supervised Cell Segmentation by Point Annotation	32
Domain and Content Adaptive Convolution Based Multi-Source Domain Generalization for Medical Image Segmentation	32
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays	32
Regional Lung Perfusion Analysis in Experimental ARDS by Electrical Impedance and Computed Tomography	32
XBound-Former: Toward Cross-Scale Boundary Modeling in Transformers	31
Noise Suppression With Similarity-Based Self-Supervised Deep Learning	31
Semi-Supervised Neuron Segmentation via Reinforced Consistency Learning	31
Direct Quantification of Coronary Artery Stenosis Through Hierarchical Attentive Multi-View Learning	31
Super-Resolution Ultrasound Through Sparsity-Based Deconvolution and Multi-Feature Tracking	31
Personalized Retrogress-Resilient Federated Learning Toward Imbalanced Medical Data	31
Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN	31
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation	30
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty	30
Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation	30
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data	30
Gesture Recognition in Robotic Surgery With Multimodal Attention	30
Direct Reconstruction of Linear Parametric Images From Dynamic PET Using Nonlocal Deep Image Prior	30
Multi-Objective Evolutionary Algorithm for PET Image Reconstruction: Concept	30
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs	30
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design	30
NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI	30
Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation	30
PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning	30
Combined Spiral Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer	29
Early Melanoma Diagnosis With Sequential Dermoscopic Images	29
MAMA Net: Multi-Scale Attention Memory Autoencoder Network for Anomaly Detection	29
Graph Transformer Geometric Learning of Brain Networks Using Multimodal MR Images for Brain Age Estimation	29
DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images	29
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method	29
Medical Image Segmentation With Deep Atlas Prior	29
SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images	29
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation	29
Pyramid Convolutional RNN for MRI Image Reconstruction	29
Prior Attention Network for Multi-Lesion Segmentation in Medical Images	28
HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images	28
Flexible Multi-Turn Multi-Gap Coaxial RF Coils: Design Concept and Implementation for Magnetic Resonance Imaging at 3 and 7 Tesla	28
NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction	28
Detection and Localization of Ultrasound Scatterers Using Convolutional Neural Networks	28
Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning	28
Efficient Computer-Aided Design of Dental Inlay Restoration: A Deep Adversarial Framework	28