Yuting He

Awesome-Foundation-Models-for-Advancing-Healthcare. We present a comprehensive and deep review of the HFM in challenges, opportunities, and future directions. The released paper: https://arxiv.org/abs/2404.03264

GVSL. Python

TAMP. The official code of TAMP - Imaging foundation model for universal enhancement of non-ideal measurement CT

BRBS. Official Implementation for BRBS for few-shot medical image segmentation

PC-Reg-RT. The source code of "Few-shot Learning for Deformable Medical Image Registration with Perception-Correspondence Decoupling and Reverse Teaching".

GEMINI. The official code of GEMINI - Homeomorphism Prior for Representation Learning (accepted by TPAMI 2025)

DenseBiasNet-pytorch. Python

COVER. [ICCV'25] Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision

P2-Net. The open source code of "Multi-task Learning for Pulmonary Arterial Hypertension Prognosis Prediction via Memory Drift and Prior Prompt Learning on 3D Chest CT"

MGANet. Official code of MGANet paper.

YutingHe-list.github.io. YutingHe-list.github.io

awesome-open-set-medical-image-analysis.

UniNICT2025. The official repository of UniNICT 2025 challenge.

voxelmorph. Unsupervised Learning for Image Registration

GCAE. The code for "Generative coronary artery engine for vessel segmentation and stenosis detection".

RaSE.