| Learning Medical Image Denoising with Deep Dynamic Residual Attention Network | Dec 9, 2020 | DenoisingDiagnostic | CodeCode Available | 1 | 5 |
| Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain Adaptation | Nov 21, 2023 | Domain AdaptationMedical Image Analysis | CodeCode Available | 1 | 5 |
| Metrics reloaded: Recommendations for image analysis validation | Jun 3, 2022 | Instance SegmentationMedical Image Analysis | CodeCode Available | 1 | 5 |
| Learning with Explicit Shape Priors for Medical Image Segmentation | Mar 31, 2023 | Image SegmentationMedical Image Analysis | CodeCode Available | 1 | 5 |
| MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation | Jul 27, 2023 | Image SegmentationMedical Image Analysis | CodeCode Available | 1 | 5 |
| Contrastive learning of global and local features for medical image segmentation with limited annotations | Jun 18, 2020 | Contrastive LearningData Augmentation | CodeCode Available | 1 | 5 |
| Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning | Nov 29, 2023 | Continual LearningContinual Self-Supervised Learning | CodeCode Available | 1 | 5 |
| Med3D: Transfer Learning for 3D Medical Image Analysis | Apr 1, 2019 | 3D Medical Imaging SegmentationLiver Segmentation | CodeCode Available | 1 | 5 |
| ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax | Mar 2, 2023 | DescriptiveImage Captioning | CodeCode Available | 1 | 5 |
| CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention | Aug 30, 2023 | DecoderMedical Image Analysis | CodeCode Available | 1 | 5 |
| CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis | Mar 15, 2024 | Medical Image AnalysisRepresentation Learning | CodeCode Available | 1 | 5 |
| MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation | May 15, 2023 | DecoderFlood extent forecasting | CodeCode Available | 1 | 5 |
| CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN | Jul 15, 2022 | counterfactualMedical Image Analysis | CodeCode Available | 1 | 5 |
| FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis | Dec 2, 2021 | Artifact DetectionBackdoor Attack | CodeCode Available | 1 | 5 |
| Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2 | Nov 24, 2024 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature | Jun 11, 2020 | Anomaly DetectionArticles | CodeCode Available | 1 | 5 |
| Multi-view analysis of unregistered medical images using cross-view transformers | Mar 21, 2021 | Medical Image Analysis | CodeCode Available | 1 | 5 |
| MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric Attention | Dec 27, 2022 | DeblurringImage Deblurring | CodeCode Available | 1 | 5 |
| MedFILIP: Medical Fine-grained Language-Image Pre-training | Jan 18, 2025 | Contrastive LearningDiagnostic | CodeCode Available | 1 | 5 |
| Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection | Nov 21, 2018 | Medical Image AnalysisMedical Object Detection | CodeCode Available | 1 | 5 |
| Structured dataset documentation: a datasheet for CheXpert | May 7, 2021 | BIG-bench Machine LearningDeep Learning | CodeCode Available | 1 | 5 |
| Learning With Context Feedback Loop for Robust Medical Image Segmentation | Mar 4, 2021 | Deep LearningImage Segmentation | CodeCode Available | 0 | 5 |
| Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning | Jun 8, 2021 | Deep Reinforcement LearningImage Segmentation | CodeCode Available | 0 | 5 |
| Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation | Aug 11, 2021 | GPUImage Generation | CodeCode Available | 0 | 5 |
| Learning from imperfect training data using a robust loss function: application to brain image segmentation | Aug 8, 2022 | Brain Image SegmentationEEG | CodeCode Available | 0 | 5 |
| CE-Net: Context Encoder Network for 2D Medical Image Segmentation | Mar 7, 2019 | Cell SegmentationDecoder | CodeCode Available | 0 | 5 |
| Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges | Mar 24, 2023 | Adversarial AttackMedical Diagnosis | CodeCode Available | 0 | 5 |
| Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis | Mar 20, 2022 | Anomaly DetectionMedical Image Analysis | CodeCode Available | 0 | 5 |
| LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation | Dec 13, 2019 | Computational EfficiencyImage Segmentation | CodeCode Available | 0 | 5 |
| Cats or CAT scans: transfer learning from natural or medical image source datasets? | Oct 12, 2018 | DiversityMedical Image Analysis | CodeCode Available | 0 | 5 |
| Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention | Dec 24, 2024 | Deformable Medical Image RegistrationImage Registration | CodeCode Available | 0 | 5 |
| An Unsupervised Learning Model for Deformable Medical Image Registration | Feb 7, 2018 | Deformable Medical Image RegistrationImage Registration | CodeCode Available | 0 | 5 |
| LACFormer: Toward accurate and efficient polyp segmentation | Nov 23, 2023 | DecoderImage Segmentation | CodeCode Available | 0 | 5 |
| Kvasir-VQA: A Text-Image Pair GI Tract Dataset | Sep 2, 2024 | Image CaptioningImage Generation | CodeCode Available | 0 | 5 |
| Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy | Aug 9, 2024 | BenchmarkingMedical Image Analysis | CodeCode Available | 0 | 5 |
| Capsule Networks against Medical Imaging Data Challenges | Jul 19, 2018 | General Classificationimage-classification | CodeCode Available | 0 | 5 |
| An overview of deep learning in medical imaging focusing on MRI | Nov 25, 2018 | BIG-bench Machine LearningDeep Learning | CodeCode Available | 0 | 5 |
| Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI | Mar 13, 2024 | AnatomyDenoising | CodeCode Available | 0 | 5 |
| Cancer Metastasis Detection With Neural Conditional Random Field | Jun 19, 2018 | Cancer Metastasis DetectionMedical Image Analysis | CodeCode Available | 0 | 5 |
| Is Texture Predictive for Age and Sex in Brain MRI? | Jul 25, 2019 | Medical Image Analysis | CodeCode Available | 0 | 5 |
| Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration | Sep 10, 2018 | Anatomical Landmark DetectionImage Registration | CodeCode Available | 0 | 5 |
| Is Autoencoder Truly Applicable for 3D CT Super-Resolution? | Jan 23, 2023 | Image Super-ResolutionMedical Image Analysis | CodeCode Available | 0 | 5 |
| Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis | Dec 18, 2018 | BIG-bench Machine LearningMedical Image Analysis | CodeCode Available | 0 | 5 |
| Knowledge Transfer for Melanoma Screening with Deep Learning | Mar 22, 2017 | Deep Learningimage-classification | CodeCode Available | 0 | 5 |
| Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis | Mar 25, 2022 | Medical Image AnalysisQ-Learning | CodeCode Available | 0 | 5 |
| Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images | Sep 23, 2021 | Computed Tomography (CT)Medical Image Analysis | CodeCode Available | 0 | 5 |
| Breast Cancer Detection Using Convolutional Neural Networks | Mar 17, 2020 | Anomaly DetectionBreast Cancer Detection | CodeCode Available | 0 | 5 |
| Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks | May 19, 2020 | Adversarial RobustnessGeneral Classification | CodeCode Available | 0 | 5 |
| Brain Tumor Synthetic Data Generation with Adaptive StyleGANs | Dec 4, 2022 | DiversityMedical Image Analysis | CodeCode Available | 0 | 5 |
| Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks | Dec 23, 2024 | Medical Image Analysis | CodeCode Available | 0 | 5 |
