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Tobias Roß
Tobias Roß
Verified email at dkfz-heidelberg.de
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Year
Surgical data science–from concepts toward clinical translation
L Maier-Hein, M Eisenmann, D Sarikaya, K März, T Collins, A Malpani, ...
Medical image analysis 76, 102306, 2022
2052022
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
LMH Tobias Ross, David Zimmerer, Anant Vemuri, Fabian Isensee, Manuel ...
International Journal of Computer Assisted Radiology and Surgery, 1-9, 2018
147*2018
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
103*2021
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
952019
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
782021
Large-scale medical image annotation with crowd-powered algorithms
E Heim, T Roß, A Seitel, K März, B Stieltjes, M Eisenmann, J Lebert, ...
Journal of Medical Imaging 5 (3), 034002-034002, 2018
502018
batchgenerators—a python framework for data augmentation
F Isensee, P Jäger, J Wasserthal, D Zimmerer, J Petersen, S Kohl, ...
Version 0.19 6, 2020
452020
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, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
442016
Effectiveness and cost-effectiveness of four different strategies for SARS-CoV-2 surveillance in the general population (CoV-Surv Study): study protocol for a two …
A Deckert, S Anders, M De Allegri, HT Nguyen, A Souares, S McMahon, ...
Trials 22, 1-9, 2021
362021
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, 1201-1212, 2015
352015
Labelling instructions matter in biomedical image analysis
T Rädsch, A Reinke, V Weru, MD Tizabi, N Schreck, AE Kavur, ...
Nature Machine Intelligence 5 (3), 273-283, 2023
342023
MOOD 2020: A public Benchmark for Out-of-Distribution Detection and Localization on medical Images
D Zimmerer, PM Full, F Isensee, P Jäger, T Adler, J Petersen, G Köhler, ...
IEEE Transactions on Medical Imaging 41 (10), 2728-2738, 2022
342022
Clickstream analysis for crowd-based object segmentation with confidence
E Heim, A Seitel, F Isensee, J Andrulis, C Stock, T Ross, L Maier-Hein
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
172017
Beyond rankings: Learning (more) from algorithm validation
T Roß, P Bruno, A Reinke, M Wiesenfarth, L Koeppel, PM Full, ...
Medical Image Analysis 86, 102765, 2023
12*2023
Medical Outof-Distribution Analysis Challenge 2021
D Zimmerer, J Petersen, G Köhler, P Jäger, P Full, T Roß, T Adler, ...
URL: https://doi. org/10.5281/zenodo 4573948, 2021
122021
Medical out-of-distribution analysis challenge
D Zimmerer, J Petersen, G Köhler, P Jäger, P Full, T Roß, T Adler, ...
Zenodo, 2020
112020
Heidelberg colorectal data set for surgical data science in the sensor operating room. Sci Data 8: 101
L Maier-Hein, M Wagner, T Ross, A Reinke, S Bodenstedt, PM Full, ...
72021
Medical out-of-distribution analysis challenge, Mar. 2020
D Zimmerer, J Petersen, G Köhler, P Jäger, P Full, T Roß, T Adler, ...
URL https://doi. org/10.5281/zenodo 3784230, 0
7
How to create the largest in-vivo endoscopic dataset
S Bittel, V Roethlingshoefer, H Kenngott, M Wagner, S Bodenstedt, ...
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale …, 2017
52017
A Platform and Multisided Market for Translational, Software-Defined Medical Procedures in the Operating Room (OP 4.1): Proof-of-Concept Study
M Görtz, M Byczkowski, M Rath, V Schütz, P Reimold, C Gasch, ...
JMIR Medical Informatics 10 (1), e27743, 2022
32022
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