Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
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Updated
Apr 3, 2026 - Python
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
[EARTH@MICCAI'2024] EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting
Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)
[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)
Frontiers in Intelligent Colonoscopy [ColonSurvey | ColonINST | ColonGPT]
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 activity.
Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'25, MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)
ICRA 2025: Advancing Dense Endoscopic Reconstruction with Gaussian Splatting-driven Surface Normal-aware Tracking and Mapping
Deformable visual odometry for stereo endoscopic videos
PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (ECCV, 2024)
[MedIA'2025] MonoPCC: Photometric-invariant Cycle Constraint for Monocular Depth Estimation of Endoscopic Images
GitHub repository for the Kvasir-instrument dataset
1st place solution to EAD 2020 (segmentation track) (https://ead2020.grand-challenge.org/)
Python packaging for image processing of fibre bundle images, including core removal, mosaicing and super-resolution.
Endoscopic and Pathological data extraction for various endo-pathological data extraction
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