Sebastian Bodenstedt

Orcid: 0000-0002-2203-9729

According to our database1, Sebastian Bodenstedt authored at least 69 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
One model to use them all: training a segmentation model with complementary datasets.
Int. J. Comput. Assist. Radiol. Surg., June, 2024

AIxSuture: vision-based assessment of open suturing skills.
Int. J. Comput. Assist. Radiol. Surg., June, 2024

Non-rigid point cloud registration for middle ear diagnostics with endoscopic optical coherence tomography.
Int. J. Comput. Assist. Radiol. Surg., January, 2024

SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.
CoRR, 2024

Rotation and flipping invariant self-organizing maps with astronomical images: A cookbook and application to the VLA Sky Survey QuickLook images.
Astron. Comput., 2024

Leveraging Expert Knowledge for Real-Time Online Adaptation of Intraoperative Liver Registration.
Proceedings of the Shape in Medical Imaging - International Workshop, 2024

2023
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
Medical Image Anal., May, 2023

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
Medical Image Anal., May, 2023

Graph data modelling for outcome prediction in oropharyngeal cancer patients.
CoRR, 2023

Why is the winner the best?
CoRR, 2023

On the Advantages of Hand Gesture Recognition with Data Gloves for Gaming Applications.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Why is the Winner the Best?
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Biomedical image analysis competitions: The state of current participation practice.
CoRR, 2022

Stay Focused - Enhancing Model Interpretability Through Guided Feature Training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.
Medical Image Anal., 2021

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
CoRR, 2021

Simultaneous localisation and mapping for laparoscopic liver navigation : a comparative evaluation study.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

2020
Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room.
CoRR, 2020

Robust Medical Instrument Segmentation Challenge 2019.
CoRR, 2020

2018 Robotic Scene Segmentation Challenge.
CoRR, 2020

Rethinking Anticipation Tasks: Uncertainty-Aware Anticipation of Sparse Surgical Instrument Usage for Context-Aware Assistance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking in surgical video.
Medical Image Anal., 2019

2017 Robotic Instrument Segmentation Challenge.
CoRR, 2019

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data.
Int. J. Comput. Assist. Radiol. Surg., 2019

Active learning using deep Bayesian networks for surgical workflow analysis.
Int. J. Comput. Assist. Radiol. Surg., 2019

Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration.
Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Image-Based Scene Analysis for Computer-Assisted Laparoscopic Surgery
PhD thesis, 2018

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data.
CoRR, 2018

Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis.
CoRR, 2018

Real-time image-based instrument classification for laparoscopic surgery.
CoRR, 2018

Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery.
CoRR, 2018

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.
Int. J. Comput. Assist. Radiol. Surg., 2018

Generative adversarial networks for specular highlight removal in endoscopic images.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Temporal Coherence-based Self-supervised Learning for Laparoscopic Workflow Analysis.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

2017
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.
CoRR, 2017

Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis.
CoRR, 2017

Projective biomechanical depth matching for soft tissue registration in laparoscopic surgery.
Int. J. Comput. Assist. Radiol. Surg., 2017

2016
Image-based laparoscopic bowel measurement.
Int. J. Comput. Assist. Radiol. Surg., 2016

Robust endoscopic pose estimation for intraoperative organ-mosaicking.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Superpixel-based structure classification for laparoscopic surgery.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Deep Disparity - Deep Learning für maßgeschneiderte endoskopische Stereo-Rekonstruktionen.
Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016

Temporale Kontextvorhersage für die laparoskopische Phasenerkennung.
Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016

2015
Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences.
Int. J. Comput. Assist. Radiol. Surg., 2015

A system for context-aware intraoperative augmented reality in dental implant surgery.
Int. J. Comput. Assist. Radiol. Surg., 2015

Image-based tracking of the suturing needle during laparoscopic interventions.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

Intraoperative on-the-fly organ-mosaicking for laparoscopic surgery.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

Non-invasive pulmonary blood flow analysis and blood pressure mapping derived from 4D flow MRI.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Quantitative Laparoscopy for Bowel Length Measurement in Bariatric Surgery - a Translational Study.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

First Surgical Experience with a Learning Robot for Camera Guidance in Cognition-Guided Laparoscopic Surgery: a Phantom Study.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

Strukturidentifikation mittels Superpixel in der Laparoskopie.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

Wissensbasierte Assistenzrobotik: Autonome Endoskopführung basierend auf Lernen von räumlichem Know-How.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

2014
Comparative Validation of Single-Shot Optical Techniques for Laparoscopic 3-D Surface Reconstruction.
IEEE Trans. Medical Imaging, 2014

Visual tracking of da Vinci instruments for laparoscopic surgery.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

Crowdsourcing for Reference Correspondence Generation in Endoscopic Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Can Masses of Non-Experts Train Highly Accurate Image Classifiers? - A Crowdsourcing Approach to Instrument Segmentation in Laparoscopic Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Bildbasierte Darmvermessung für die laparoskopische Chirugie.
Proceedings of the 13. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2014

Ein System zur situationsbezogenen Unterstützung in der Dentalimplantologie.
Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014

2013
Context-aware Augmented Reality in laparoscopic surgery.
Comput. Medical Imaging Graph., 2013

Robust feature tracking for endoscopic pose estimation and structure recovery.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013

2012
Lightweight distributed computing for intraoperative real-time image guidance.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

Fusion of intraoperative force sensoring, surface reconstruction and biomechanical modeling.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

Learned Partial Automation for Shared Control in Tele-Robotic Manipulation.
Proceedings of the Robots Learning Interactively from Human Teachers, 2012

2011
Real-time surface reconstruction from stereo endoscopic images for intraoperative registration.
Proceedings of the Medical Imaging 2011: Visualization, 2011

3D surface reconstruction for laparoscopic computer-assisted interventions: comparison of state-of-the-art methods.
Proceedings of the Medical Imaging 2011: Visualization, 2011

Oberflächenrekonstruktion für minimal-invasive Navigationssysteme.
Proceedings of the 10. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2011

In-vitro Evaluation von endoskopischer Oberflächenrekonstruktion mittels Time-of-Flight-Kameratechnik.
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011


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