YMarrakchi / CICL
Code accompanying the paper "Fighting Class Imbalance with Contrastive Learning" (MICCAI2021)
☆10Updated 2 years ago
Related projects: ⓘ
- [DALI 2022] "Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study" by Gregory Holste, Song Wang, Ziyu Jian…☆27Updated last year
- Domain generalization benchmark for skin lesion recognition, MICCAI 2023☆15Updated 7 months ago
- IEEE TMI 2021☆16Updated last year
- [ECCV 2024] TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data (an official implementation)☆13Updated last month
- Source code for MICCAI 2022 paper entitled: 'Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification'☆34Updated last year
- Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning (CVPR 2023)☆40Updated last year
- [MICCAI'22] Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift☆19Updated last year
- PyTorch implementation of GCMAE☆32Updated 2 months ago
- Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning☆14Updated 2 years ago
- MICCAI 2023: Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images☆23Updated last week
- [MICCAI 2023] ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification☆24Updated 5 months ago
- [IEEE Transactions on Medical Imaging 2024] Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Ide…☆16Updated last month
- Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification☆56Updated 7 months ago
- Official implementation for MICCAI 2021 paper "Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching"☆50Updated last year
- MICCAI2021 Paper: Self-supervised visual representation learning for histopathological images☆26Updated 2 years ago
- Code for Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation.☆23Updated 10 months ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 2 years ago
- Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification☆11Updated last year
- A collection of self-supervised papers in medical imaging.☆39Updated 3 years ago
- [MICCAI2024] "FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation". A framework for fine-tuning SAM (Segment Any…☆32Updated last month
- Learning to Segment from Noisy Annotations: A Spatial Correction Approach☆16Updated last year
- The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides co…☆36Updated 4 months ago
- [ECCV 2022] Personalizing Federated Medical Image Segmentation☆43Updated last year
- ☆28Updated last year
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆43Updated 4 years ago
- ☆11Updated last month
- MoCo-based unsupervised training for Chest X-Ray Interpretation☆38Updated 2 years ago
- Anatomy-aware self-supervised learning☆11Updated 2 months ago
- IEEE J-BHI paper: MSBP_Net: Multi-scale binary pattern encoding network for cancer classification in pathology images☆12Updated last year
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆62Updated 3 years ago