cchen-cc
Postdoc Fellow in Harvard Medical School, Ph.D. in CSE. Medical Image Computing, Machine Learning
CUHKHong Kong
cchen-cc's Stars
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
MIC-DKFZ/nnUNet
HobbitLong/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
HobbitLong/CMC
[arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
yangyutu/EssentialMath
hitachinsk/SAMed
The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"
cchen-cc/SIFA
[TMI'20, AAAI'19] Synergistic Image and Feature Adaptation
leehomyc/cyclegan-1
Tensorflow implementation of CycleGANs
med-air/3DSAM-adapter
Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation
xw-hu/DSC
Direction-Aware Spatial Context Features for Shadow Detection and Removal | CVPR 2018 (Oral) & TPAMI 2019
HKU-MedAI/MGCA
[NeurIPS'22] Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
med-air/SurRoL
[IROS'21] SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
cchen-cc/MA-SAM
PyTorch implementation for MA-SAM
carrenD/ummkd
[TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation
xw-hu/Unveiling-Deep-Shadows
A Survey on Image and Video Shadow Detection, Removal, and Generation in the Era of Deep Learning (Awesome & Benchmark)
ycliu93/continual_learning_papers
A list of continual learning papers