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09/06/2023
Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications
In surgical computer vision applications, obtaining labeled training dat...
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07/19/2023
TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition
To enable context-aware computer assistance in the operating room of the...
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05/23/2023
Metrics Matter in Surgical Phase Recognition
Surgical phase recognition is a basic component for different context-aw...
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05/11/2023
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge
The ability to automatically detect and track surgical instruments in en...
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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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12/08/2022
Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge
Timely and effective feedback within surgical training plays a critical ...
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03/15/2022
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis
Batch Normalization's (BN) unique property of depending on other samples...
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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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03/31/2021
Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data
Research in unpaired video translation has mainly focused on short-term ...
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02/26/2021
Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge
Surgical data science is revolutionizing minimally invasive surgery by e...
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01/04/2021
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
The stereo correspondence and reconstruction of endoscopic data sub-chal...
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12/22/2020
SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction
In computer vision, reference datasets have been highly successful in pr...
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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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05/29/2020
Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model
Non-rigid registration is a key component in soft-tissue navigation. We ...
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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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03/26/2019
Learning Soft Tissue Behavior of Organs for Surgical Navigation with Convolutional Neural Networks
Purpose: In surgical navigation, pre-operative organ models are presente...
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03/06/2019
Video-based surgical skill assessment using 3D convolutional neural networks
Purpose: A profound education of novice surgeons is crucial to ensure th...
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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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06/08/2018
Surgical Data Science: A Consensus Perspective
Surgical data science is a scientific discipline with the objective of i...
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06/06/2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
International challenges have become the standard for validation of biom...
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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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03/22/2018
IMHOTEP - Virtual Reality Framework for Surgical Applications
Purpose: The data which is available to surgeons before, during and afte...
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11/27/2017
