Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)
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Updated
May 9, 2022 - Python
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
[MICCAI'22] 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
Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)
medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)
1st place solution to EAD 2020 (segmentation track) (https://ead2020.grand-challenge.org/)
Endoscopic and Pathological data extraction for various endo-pathological data extraction
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.
EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting
Prototype improvement to robotic surgery by using muscle activation
Generates training data for graph extraction.
PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (arXiv, 2024)
Endoscopic and Pathological data extraction for various endo-pathological data extraction
Homologous point groups (point tracks) determination usable as the input of Structure from Motion (SfM).
Endoscopy Image Processing & Classification. Academic project as a part of the course AI in Biomedicine. Classify using pre-trained InceptionNetv3 and EfficientNetB2 classifiers and compare the accuracy.
A PyTorch tool kit for estimating the circular content area in endoscopic footage.
GitHub repository for the Kvasir-instrument dataset
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