Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
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Updated
Mar 26, 2024 - Python
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 "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)
medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting
Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)
Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
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.
Deformable visual odometry for stereo endoscopic videos
PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (ECCV, 2024)
1st place solution to EAD 2020 (segmentation track) (https://ead2020.grand-challenge.org/)
A PyTorch tool kit for estimating the circular content area in endoscopic footage.
Python packaging for image processing of fibre bundle images, including core removal, mosaicing and super-resolution.
Extraction of graphs from skeletonised images.
3rd International Endoscopy Computer Vision Challenge and Workshop (EndoCV2021)
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