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04/26/2023
Non-rigid Point Cloud Registration for Middle Ear Diagnostics with Endoscopic Optical Coherence Tomography
Purpose: Middle ear infection is the most prevalent inflammatory disease...
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04/10/2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical...
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09/30/2021
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
PURPOSE: Surgical workflow and skill analysis are key technologies for t...
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07/01/2020
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance
Intra-operative anticipation of instrument usage is a necessary componen...
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05/07/2020
Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room
Image-based tracking of medical instruments is an integral part of many ...
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03/23/2020
Robust Medical Instrument Segmentation Challenge 2019
Intraoperative tracking of laparoscopic instruments is often a prerequis...
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02/26/2020
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration
Estimating the remaining surgery duration (RSD) during surgical procedur...
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07/26/2019
Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video
Automatically recognizing surgical gestures is a crucial step towards a ...
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07/05/2019
Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation
In the medical domain, the lack of large training data sets and benchmar...
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02/18/2019
2017 Robotic Instrument Segmentation Challenge
In mainstream computer vision and machine learning, public datasets such...
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11/08/2018
Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data
The course of surgical procedures is often unpredictable, making it diff...
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11/08/2018
Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis
For many applications in the field of computer assisted surgery, such as...
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08/01/2018
Real-time image-based instrument classification for laparoscopic surgery
During laparoscopic surgery, context-aware assistance systems aim to all...
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06/18/2018
Temporal coherence-based self-supervised learning for laparoscopic workflow analysis
In order to provide the right type of assistance at the right time, comp...
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05/07/2018
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
Intraoperative segmentation and tracking of minimally invasive instrumen...
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11/27/2017
