Official PyTorch implementation of AdaDiff described in the paper.
The main features of icon-lab/adadiff are: Medical Imaging.
Open-source alternatives to icon-lab/adadiff include: bian-jh/hop-tm — Medical image analysis faces significant challenges in data sharing due to privacy regulations and complex… f1onae/fedwsidd — The list of useful parameters is as follows: datarootdir: this is the path where you put your '.pt' files for patch… guang000/dataset-distillation — Project Page | Paper. guang000/mtt-distillation — This repo contains code for training expert trajectories and distilling synthetic data from our Dataset Distillation… icon-lab/fdb — Official PyTorch implementation of FDB as described in the paper. openmedlab/brainmvp — Code for our CVPR 2025 paper[Highlight] Multi-modal Vision Pre-training for Medical Image Analysis.
The list of useful parameters is as follows: datarootdir: this is the path where you put your '.pt' files for patch features. featuretype: feature extractor, e.g., ResNet50, ViT, UNI, PLIP, CONCH. milmethod: MIL framework, e.g., CLAM, ABMIL, TransMIL. fedmethod: Federated Learning frameworks,…
This repo contains code for training expert trajectories and distilling synthetic data from our Dataset Distillation by Matching Training Trajectories paper (CVPR 2022). Please see our project page for more results.
Medical image analysis faces significant challenges in data sharing due to privacy regulations and complex institutional protocols. Dataset distillation offers a solution to address these challenges by synthesizing compact datasets that capture essential information from real, large medical…