IEEE Transactions on Medical Imaging

Article	Citations
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation	1723
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images	728
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets	621
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT	452
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound	412
Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening	343
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation	321
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images	314
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation	297
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia	282
A Multi-Organ Nucleus Segmentation Challenge	260
Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images	250
Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning	233
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading	233
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation	226
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation	220
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection	211
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification	206
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning	188
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis	183
Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images	182
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index	181
Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis	176
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images	174
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network	169

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge	166
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation	157
CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading	156
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data	150
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model	147
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis	144
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model	135
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans	130
ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis	125
Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound	119
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction	112
Unpaired Multi-Modal Segmentation via Knowledge Distillation	110
Adaptive Ultrasound Beamforming Using Deep Learning	107
FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging	105
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images	104
Guided Soft Attention Network for Classification of Breast Cancer Histopathology Images	102
DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction	101
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images	101
Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound	101
Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module	97
Dual Attention Multi-Instance Deep Learning for Alzheimer’s Disease Diagnosis With Structural MRI	97
Missing MRI Pulse Sequence Synthesis Using Multi-Modal Generative Adversarial Network	97
Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction	97
Dense Dilated Network With Probability Regularized Walk for Vessel Detection	96
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations	94
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation	93
Image Projection Network: 3D to 2D Image Segmentation in OCTA Images	92
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability	91
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation	90
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers	89
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis	87
Multi-Contrast Super-Resolution MRI Through a Progressive Network	86
Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods	85
Radon Inversion via Deep Learning	84
SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation	80
Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling	80
Label-Free Segmentation of COVID-19 Lesions in Lung CT	80
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification	79
Super Wide-Field Photoacoustic Microscopy of Animals and Humans In Vivo	78
Super-Resolution Ultrasound Localization Microscopy Through Deep Learning	77
Comparison of Objective Image Quality Metrics to Expert Radiologists’ Scoring of Diagnostic Quality of MR Images	77
Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN	76
Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans	76
3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography	75
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge	75
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification	74
SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning	74
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners	73
Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation	73
Deep Learning for Ultrasound Localization Microscopy	73

Modeling and Enhancing Low-Quality Retinal Fundus Images	72
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity	71
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge	71
Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising	71
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images	70
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation	70
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images	69
Deep Neural Networks for Chronological Age Estimation From OPG Images	69
Deep Learning Diffuse Optical Tomography	69
Cardiac Segmentation With Strong Anatomical Guarantees	68
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-Lesion Segmentation	67
Deep-Learning Image Reconstruction for Real-Time Photoacoustic System	67
Inter-Slice Context Residual Learning for 3D Medical Image Segmentation	67
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification	66
One-Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking	66
Efficient Medical Image Segmentation Based on Knowledge Distillation	66
Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning	63
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping	62
Structure and Illumination Constrained GAN for Medical Image Enhancement	61
Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images	61
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis	61
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification	60
Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning	60
Domain Knowledge Powered Deep Learning for Breast Cancer Diagnosis Based on Contrast-Enhanced Ultrasound Videos	59
Identification of Melanoma From Hyperspectral Pathology Image Using 3D Convolutional Networks	59
Content-Noise Complementary Learning for Medical Image Denoising	58
Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging	58
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets	58
Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks	56
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients	56
Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI	55
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation	54
Visualization of White Matter Fiber Tracts of Brain Tissue Sections With Wide-Field Imaging Mueller Polarimetry	53
Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation	53
Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis	53
Uncertainty Quantification in Deep MRI Reconstruction	53
Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography	53
Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks	53
Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging	52
Time-Dependent Deep Image Prior for Dynamic MRI	52
Global-Local Transformer for Brain Age Estimation	52
MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction	52
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages	52
CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging	52
Microwave Imaging of Breast Tumor Using Time-Domain UWB Circular-SAR Technique	51
4D Functional Imaging of the Rat Brain Using a Large Aperture Row-Column Array	51
A Polarization-Imaging-Based Machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions	50
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning	50
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening	49
SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image	49
Temporal Memory Relation Network for Workflow Recognition From Surgical Video	49
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge	49
SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors	49
Block Level Skip Connections Across Cascaded V-Net for Multi-Organ Segmentation	49
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels	48
In Vivo Demonstration of Photoacoustic Image Guidance and Robotic Visual Servoing for Cardiac Catheter-Based Interventions	48
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation	48
mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification	47
Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation	46
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images	46
Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis	46
Noise Adaptation Generative Adversarial Network for Medical Image Analysis	46
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images	46
A Graph-Transformer for Whole Slide Image Classification	45
A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy	45
Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification	45
3D Shape Modeling and Analysis of Retinal Microvasculature in OCT-Angiography Images	44
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation	44
Video-Rate Ring-Array Ultrasound and Photoacoustic Tomography	44
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images	44
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features	44
Multi-Modal Retinal Image Classification With Modality-Specific Attention Network	43
Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm	43
SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images	43
Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis	43
Super-Resolution Enhanced Medical Image Diagnosis With Sample Affinity Interaction	43
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images	43
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation	43
Detecting Deficient Coverage in Colonoscopies	43
Multi-Domain Image Completion for Random Missing Input Data	42

Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates	42
DU-Net: Convolutional Network for the Detection of Arterial Calcifications in Mammograms	42
A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI	42
Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images	41
K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence	41
CANet: Context Aware Network for Brain Glioma Segmentation	41
Fetal Congenital Heart Disease Echocardiogram Screening Based on DGACNN: Adversarial One-Class Classification Combined with Video Transfer Learning	41
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis	41
SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images	40
A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images	40
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation	40
Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising	40
Learned Low-Rank Priors in Dynamic MR Imaging	40
On Hallucinations in Tomographic Image Reconstruction	39
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction	39
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography	39
Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer’s Disease Prediction	39
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data	39
Augmented Reality Guided Laparoscopic Surgery of the Uterus	38
Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography	38
Brain Age Estimation From MRI Using Cascade Networks With Ranking Loss	38
Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation	38
Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation	38
CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation	37
Multi-Modal Co-Learning for Liver Lesion Segmentation on PET-CT Images	37
Self-Supervised Learning for Few-Shot Medical Image Segmentation	37
Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network	37
Unsupervised Medical Image Translation With Adversarial Diffusion Models	37
TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging	37
Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer’s Disease Diagnosis	36
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning	36
Myocardial Function Imaging in Echocardiography Using Deep Learning	36
Deep Learning for Ultrasound Beamforming in Flexible Array Transducer	36
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI	36
Development and Initial Results of a Brain PET Insert for Simultaneous 7-Tesla PET/MRI Using an FPGA-Only Signal Digitization Method	36
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network	36
A Question-Centric Model for Visual Question Answering in Medical Imaging	35
Progressively Trained Convolutional Neural Networks for Deformable Image Registration	35
Wasserstein GANs for MR Imaging: From Paired to Unpaired Training	35
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification	35
Shape Reconstruction Using Boolean Operations in Electrical Impedance Tomography	35
Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation	35
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data	35
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention	35
Federated Learning of Generative Image Priors for MRI Reconstruction	35
Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders	35
CT Image-Guided Electrical Impedance Tomography for Medical Imaging	34
Unsupervised CT Metal Artifact Learning Using Attention-Guided β-CycleGAN	34
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer	34
Induced-Current Learning Method for Nonlinear Reconstructions in Electrical Impedance Tomography	34
Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation	34
Multi-Modal Graph Learning for Disease Prediction	34
K-Nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography	33
Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images	33
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT	33
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models	33
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint	33
Learn to Threshold: ThresholdNet With Confidence-Guided Manifold Mixup for Polyp Segmentation	32
A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images	32
Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation	32
Spatiotemporal Antialiasing in Photoacoustic Computed Tomography	32
Measuring Image Resolution in Ultrasound Localization Microscopy	32
CT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose Levels	32
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images	32
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction	32
Global and Local Feature Reconstruction for Medical Image Segmentation	32
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning	32
Automatic Diagnosis Based on Spatial Information Fusion Feature for Intracranial Aneurysm	32
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification	31
Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation	31
Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation	31
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging	31
Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-Task Deep Generative Model	31
Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs	31
Learning the Sampling Pattern for MRI	31
Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging	31
DIOR: Deep Iterative Optimization-Based Residual-Learning for Limited-Angle CT Reconstruction	31
Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation	31
Tomographic Field Free Line Magnetic Particle Imaging With an Open-Sided Scanner Configuration	31
Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases	31
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification	30
Learning With Context Feedback Loop for Robust Medical Image Segmentation	30
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition	30
MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI	30
Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images	30
EndoL2H: Deep Super-Resolution for Capsule Endoscopy	30
DeepBranch: Deep Neural Networks for Branch Point Detection in Biomedical Images	30
GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs	30
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation	29
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT	29
Graph-Based Region and Boundary Aggregation for Biomedical Image Segmentation	29
Multimodal Transformer for Accelerated MR Imaging	29
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling	29
Artifact and Detail Attention Generative Adversarial Networks for Low-Dose CT Denoising	29
MISSFormer: An Effective Transformer for 2D Medical Image Segmentation	29