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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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  1. ConvLSTM-Surgical-Tool-Tracker ConvLSTM-Surgical-Tool-Tracker Public

    This repo contains an implementation code for the weakly supervised surgical tool tracker. In this research, the temporal dependency in surgical video data is modeled using a convolutional LSTM whi…

    Python 37 10

  2. TF-Cholec80 TF-Cholec80 Public

    Library packaging the Cholec80 dataset for easy handling with Tensorflow.

    Jupyter Notebook 19 5

  3. ORPose-Depth ORPose-Depth Public

    Inference demo and evaluation scripts for the MICCAI-2019 paper "Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images"

    Python 19 4

  4. SelfSupSurg SelfSupSurg Public

    Official repository for "Dissecting Self-Supervised Learning Methods for Surgical Computer Vision"

    Python 28 5

  5. MVOR 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 …

    Python 48 9

  6. cholect50 cholect50 Public

    A repository for surgical action triplet dataset. Data are videos of laparoscopic cholecystectomy that have been annotated with <instrument, verb, target> labels for every surgical fine-grained act…

    Python 33 4

Repositories

Showing 10 of 32 repositories
  • Python 6 0 0 0 Updated May 24, 2024
  • 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.

    Python 20 1 2 0 Updated May 23, 2024
  • ivtmetrics Public template

    A Python evaluation metrics package for surgical action triplet recognition

    Python 12 BSD-2-Clause 2 0 0 Updated May 15, 2024
  • SelfPose3d Public

    Official code for "SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation"

    Python 11 0 3 0 Updated Apr 19, 2024
  • SurgLatentGraph Public

    This repository contains the code associated with our 2023 TMI paper "Latent Graph Representations for Critical View of Safety Assessment" and our MICCAI 2023 paper "Encoding Surgical Videos as Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning".

    Python 16 1 0 0 Updated Apr 10, 2024
  • HTML 0 0 0 0 Updated Mar 27, 2024
  • med-moco Public

    Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation

    2 0 1 0 Updated Feb 19, 2024
  • Python 3 0 0 0 Updated Dec 20, 2023
  • Endoscapes Public

    Official Repository for the Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment

    21 0 0 0 Updated Dec 20, 2023
  • mcit-ig Public
    Python 1 0 0 0 Updated Oct 4, 2023

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