Sebastian Bodenstedt
Sebastian Bodenstedt
National Center for Tumor Diseases (NCT) Dresden
Bestätigte E-Mail-Adresse bei nct-dresden.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1072014
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 (6), 925-933, 2018
822018
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
782014
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
772012
Can masses of non-experts train highly accurate image classifiers?
L Maier-Hein, S Mersmann, D Kondermann, S Bodenstedt, A Sanchez, ...
International conference on medical image computing and computer-assisted …, 2014
752014
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
572013
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
542019
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 (1), 101-108, 2015
492015
Crowdsourcing for reference correspondence generation in endoscopic images
L Maier-Hein, S Mersmann, D Kondermann, C Stock, HG Kenngott, ...
International conference on medical image computing and computer-assisted …, 2014
472014
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 (5), 2155-2165, 2017
402017
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
362019
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
352018
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, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
342019
Crowd-algorithm collaboration for large-scale endoscopic image annotation with confidence
L Maier-Hein, T Ross, J Gröhl, B Glocker, S Bodenstedt, C Stock, E Heim, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2016
342016
Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis
S Bodenstedt, M Wagner, D Katić, P Mietkowski, B Mayer, H Kenngott, ...
arXiv preprint arXiv:1702.03684, 2017
262017
Real-time surface reconstruction from stereo endoscopic images for intraoperative registration
S Röhl, S Bodenstedt, S Suwelack, H Kenngott, BP Mueller-Stich, ...
Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling …, 2011
262011
Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences
L Maier-Hein, D Kondermann, T Roß, S Mersmann, E Heim, S Bodenstedt, ...
International journal of computer assisted radiology and surgery 10 (8 …, 2015
252015
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 (6 …, 2019
242019
Temporal coherence-based self-supervised learning for laparoscopic workflow analysis
I Funke, A Jenke, ST Mees, J Weitz, S Speidel, S Bodenstedt
OR 2.0 context-aware operating theaters, computer assisted robotic endoscopy …, 2018
232018
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
222021
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