Search Results for author:
Found 11 papers, 6 papers with code
Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits
It focuses on the visualization of the occurrence of phases, phase transitions, instruments, and instrument combinations across sets.
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detection
The main evaluation metric available comes from Multi-object tracking (MOT) methods to benchmark performance on datasets such as KITTI with the recently proposed higher order tracking accuracy (HOTA) metric, which is capable of providing a better description of the performance over metrics such as MOTA, DetA, and IDF1.
Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements
To support minimally-invasive intraoperative mitral valve repair, quantitative measurements from the valve can be obtained using an infra-red tracked stylus.
Comparison of Evaluation Metrics for Landmark Detection in CMR Images
In this work, we extended the public ACDC dataset with additional labels of the right ventricular insertion points and compare different variants of a heatmap-based landmark detection pipeline.
Point detection through multi-instance deep heatmap regression for sutures in endoscopy
Method: In this work, we formulate the suture detection task as a multi-instance deep heatmap regression problem, to identify entry and exit points of sutures.
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
In this use case, it is of paramount importance to display objects like needles, sutures or instruments consistent in both domains while altering the style to a more tissue-like appearance.
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is continuously increasing, recent meta-research revealed major flaws with respect to algorithm validation.
Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks
Mitral valve repair is a surgery to restore the function of the mitral valve.
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
The stereo correspondence and reconstruction of endoscopic data sub-challenge was organized during the Endovis challenge at MICCAI 2019 in Shenzhen, China.
Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training
Reliable 3D localization of needle and instruments in real time could be used to augment the scene with additional parameters that describe their quantitative geometric relation, e. g. the relation between the estimated needle plane and its rotation center and the instrument.
Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training
Such concepts are able to generate realistic representations of phantoms learned from real intraoperative endoscopic sequences.
