Sebastian Bodenstedt
Sebastian Bodenstedt
National Center for Tumor Diseases (NCT) Dresden
Verified email at - Homepage
Cited by
Cited by
Machine learning for surgical phase recognition: a systematic review
CR Garrow, KF Kowalewski, L Li, M Wagner, MW Schmidt, S Engelhardt, ...
Annals of surgery 273 (4), 684-693, 2021
2017 robotic instrument segmentation challenge
M Allan, A Shvets, T Kurmann, Z Zhang, R Duggal, YH Su, N Rieke, ...
arXiv preprint arXiv:1902.06426, 2019
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
T Ross, D Zimmerer, A Vemuri, F Isensee, M Wiesenfarth, S Bodenstedt, ...
International journal of computer assisted radiology and surgery 13, 925-933, 2018
Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction
L Maier-Hein, A Groch, A Bartoli, S Bodenstedt, G Boissonnat, PL Chang, ...
IEEE transactions on medical imaging 33 (10), 1913-1930, 2014
Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images
L Maier-Hein, S Mersmann, D Kondermann, S Bodenstedt, A Sanchez, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
Physics‐based shape matching for intraoperative image guidance
S Suwelack, S Röhl, S Bodenstedt, D Reichard, R Dillmann, T dos Santos, ...
Medical physics 41 (11), 111901, 2014
Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation
M Pfeiffer, I Funke, MR Robu, S Bodenstedt, L Strenger, S Engelhardt, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Using 3D convolutional neural networks to learn spatiotemporal features for automatic surgical gesture recognition in video
I Funke, S Bodenstedt, F Oehme, F von Bechtolsheim, J Weitz, S Speidel
International conference on medical image computing and computer-assisted …, 2019
Dense GPU‐enhanced surface reconstruction from stereo endoscopic images for intraoperative registration
S Röhl, S Bodenstedt, S Suwelack, H Kenngott, BP Müller‐Stich, ...
Medical physics 39 (3), 1632-1645, 2012
Context-aware augmented reality in laparoscopic surgery
D Katić, AL Wekerle, J Görtler, P Spengler, S Bodenstedt, S Röhl, ...
Computerized Medical Imaging and Graphics 37 (2), 174-182, 2013
A system for context-aware intraoperative augmented reality in dental implant surgery
D Katić, P Spengler, S Bodenstedt, G Castrillon-Oberndorfer, ...
International journal of computer assisted radiology and surgery 10, 101-108, 2015
Heidelberg colorectal data set for surgical data science in the sensor operating room
L Maier-Hein, M Wagner, T Ross, A Reinke, S Bodenstedt, PM Full, ...
Scientific data 8 (1), 101, 2021
2018 robotic scene segmentation challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2020
Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge
T Roß, A Reinke, PM Full, M Wagner, H Kenngott, M Apitz, H Hempe, ...
Medical image analysis 70, 101920, 2021
Development and validation of a sensor-and expert model-based training system for laparoscopic surgery: the iSurgeon
KF Kowalewski, JD Hendrie, MW Schmidt, CR Garrow, T Bruckner, ...
Surgical Endoscopy 31, 2155-2165, 2017
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
S Bodenstedt, M Allan, A Agustinos, X Du, L Garcia-Peraza-Herrera, ...
arXiv preprint arXiv:1805.02475, 2018
Generative adversarial networks for specular highlight removal in endoscopic images
I Funke, S Bodenstedt, C Riediger, J Weitz, S Speidel
Medical imaging 2018: Image-guided procedures, robotic interventions, and …, 2018
Active learning using deep Bayesian networks for surgical workflow analysis
S Bodenstedt, D Rivoir, A Jenke, M Wagner, M Breucha, B Müller-Stich, ...
International journal of computer assisted radiology and surgery 14, 1079-1087, 2019
Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data
S Bodenstedt, M Wagner, L Mündermann, H Kenngott, B Müller-Stich, ...
International Journal of Computer Assisted Radiology and Surgery 14, 1089-1095, 2019
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the heichole benchmark
M Wagner, BP Müller-Stich, A Kisilenko, D Tran, P Heger, L Mündermann, ...
Medical image analysis 86, 102770, 2023
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