carrenD
Medical Image Analysis, Machine Learning, Surgical Data Science, Robotics.
Assistant Professor @ CUHK CSEHong Kong
carrenD's Stars
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
DeepRegNet/DeepReg
Medical image registration using deep learning
yulequan/UA-MT
code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.
rsummers11/CADLab
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
HzFu/COVID19_imaging_AI_paper_list
COVID-19 imaging-based AI paper collection
liuquande/FedDG-ELCFS
[CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
med-air/FedBN
[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
med-air/EndoNeRF
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
med-air/3DSAM-adapter
Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation
biomedia-mira/masf
Domain Generalization via Model-Agnostic Learning of Semantic Features
med-air/SurRoL
[IROS'21] SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
liuquande/SRC-MT
[TMI'20] Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
liuquande/SAML
[MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset
jhu-dvrk/sawIntuitiveResearchKit
cisst/SAW stack for the da Vinci Research Kit (dVRK)
martinzlocha/anchor-optimization
Anchor optimization for RetinaNet.
chaoqichen/HTCN
Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)
carrenD/ummkd
[TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation
biomedia-mira/istn
Image-and-Spatial Transformer Networks
med-air/HarmoFL
[AAAI'22] HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
dccastro/Morpho-MNIST
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
FeTS-AI/Front-End
Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/
cherise215/advchain
[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)
med-air/Contrastive-COVIDNet
[IEEE JBHI'20] Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification
ck-kai/SGPA
[ICCV'21] SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation
liuchen11/AdversaryLossLandscape
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]
lunanbit/FedUL
FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
med-air/DEX
[ICRA 2023] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
med-air/FGRM
[NeurIPS'23] Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
carrenD/SIFA
[AAAI'19] Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation