[IROS'21] SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

[NeurIPS'23] Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization

Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation

[ICRA 2023] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients

cisst/SAW stack for the da Vinci Research Kit (dVRK)

[ICCV'21] SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation

[AAAI'22] HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)

[CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]

code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/

[IEEE JBHI'20] Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification

Medical image registration using deep learning

[MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset

[TMI'20] Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model

AI Toolkit for Healthcare Imaging

COVID-19 imaging-based AI paper collection

Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)

[TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation

Anchor optimization for RetinaNet.

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

Domain Generalization via Model-Agnostic Learning of Semantic Features

Image-and-Spatial Transformer Networks

Graph Neural Network Library for PyTorch

[AAAI'19] Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation