The research group CAMMA (Computational Analysis and Modeling of Medical Activities) led by Prof. Nicolas Padoy aims at developing new tools and methods based on computer vision, medical image analysis and machine learning to perceive, model, analyze and support clinician and staff activities in the operating room (OR) using the vast amount of digital data generated during surgeries. We are a joint group of the University of Strasbourg and the IHU MixSurg institute. We are also part of the wider research team AVR (Automatics, Vision and Robotics) in the ICube institute. We are located on the campus of Strasbourg’s University Hospital in the facilities of IHU Strasbourg and collaborate closely with the IRCAD institute and the Nouvel Hopital Civil.
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Repositories
- ORPose-Depth Public
Inference demo and evaluation scripts for the MICCAI-2019 paper "Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images"
CAMMA-public/ORPose-Depth’s past year of commit activity - MVOR Public
Multi-View Operating Room (MVOR) dataset consists of synchronized multi-view frames recorded by three RGB-D cameras in a hybrid OR during real clinical interventions. We provide camera calibration parameters, color and depth frames, human bounding boxes, and 2D/3D pose annotations. The MVOR was released in the MICCAI-LABELS 2018 workshop.
CAMMA-public/MVOR’s past year of commit activity - ORPose-Color Public
Inference demo for the MICCAI-2020 paper "Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation"
CAMMA-public/ORPose-Color’s past year of commit activity - AI4surgery Public
Short tutorial supplementing the Neural Networks and Deep Learning chapter from Artificial Intelligence in Surgery: An AI Primer for Surgical Practice designed to offer hands-on experience with artificial neural networks to surgeons with little to no coding experience.
CAMMA-public/AI4surgery’s past year of commit activity - HPE-AdaptOR Public
Code for Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR
CAMMA-public/HPE-AdaptOR’s past year of commit activity - SelfSupSurg Public
Official repository for "Dissecting Self-Supervised Learning Methods for Surgical Computer Vision"
CAMMA-public/SelfSupSurg’s past year of commit activity - ScalingSurgicalSSL Public Forked from CAMMA-public/SelfSupSurg
Official repository for "Jumpstarting Surgical Computer Vision"
CAMMA-public/ScalingSurgicalSSL’s past year of commit activity - SSG-VQA Public
SSG-VQA is a Visual Question Answering (VQA) dataset on laparoscopic videos providing diverse, geometrically grounded, unbiased and surgical action-oriented queries generated using scene graphs.
CAMMA-public/SSG-VQA’s past year of commit activity - SelfPose3d Public
Official code for "SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation"
CAMMA-public/SelfPose3d’s past year of commit activity - PeskaVLP Public
CAMMA-public/PeskaVLP’s past year of commit activity
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