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Stefan Leger
Stefan Leger
National Center for Tumor Diseases (NCT) Dresden
Verified email at nct-dresden.de
Title
Cited by
Cited by
Year
Image biomarker standardisation initiative
A Zwanenburg, S Leger, M Vallières, S Löck
arXiv preprint arXiv:1612.07003, 2016
2690*2016
A comparative study of machine learning methods for time-to-event survival data for radiomics risk modelling
S Leger, A Zwanenburg, K Pilz, F Lohaus, A Linge, K Zöphel, J Kotzerke, ...
Scientific reports 7 (1), 13206, 2017
2272017
Assessing robustness of radiomic features by image perturbation
A Zwanenburg, S Leger, L Agolli, K Pilz, EGC Troost, C Richter, S Löck
Scientific reports 9 (1), 614, 2019
1932019
Image biomarker standardisation initiative-feature definitions
A Zwanenburg, S Leger, M Vallières, S Löck
arXiv preprint arXiv:1612.07003 10, 2016
1242016
Spatial distribution of FMISO in head and neck squamous cell carcinomas during radio-chemotherapy and its correlation to pattern of failure
S Zschaeck, R Haase, N Abolmaali, R Perrin, K Stützer, S Appold, ...
Acta Oncologica 54 (9), 1355-1363, 2015
86*2015
2018 robotic scene segmentation challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2020
702020
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
622021
Development and validation of a gene signature for patients with head and neck carcinomas treated by postoperative radio (chemo) therapy
S Schmidt, A Linge, A Zwanenburg, S Leger, F Lohaus, C Krenn, ...
Clinical Cancer Research 24 (6), 1364-1374, 2018
542018
CT imaging during treatment improves radiomic models for patients with locally advanced head and neck cancer
S Leger, A Zwanenburg, K Pilz, S Zschaeck, K Zöphel, J Kotzerke, ...
Radiotherapy and Oncology 130, 10-17, 2019
522019
Image biomarker standardisation initiative. arXiv 2016
A Zwanenburg, S Leger, M Vallières, S Löck
arXiv preprint arXiv:1612.07003, 0
51
2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma
S Starke, S Leger, A Zwanenburg, K Leger, F Lohaus, A Linge, ...
Scientific reports 10 (1), 15625, 2020
372020
Non-rigid volume to surface registration using a data-driven biomechanical model
M Pfeiffer, C Riediger, S Leger, JP Kühn, D Seppelt, RT Hoffmann, J Weitz, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
342020
Robust medical instrument segmentation challenge 2019
T Ross, A Reinke, PM Full, M Wagner, H Kenngott, M Apitz, H Hempe, ...
arXiv preprint arXiv:2003.10299, 2020
332020
Comprehensive analysis of tumour sub-volumes for radiomic risk modelling in locally advanced HNSCC
S Leger, A Zwanenburg, K Leger, F Lohaus, A Linge, A Schreiber, ...
Cancers 12 (10), 3047, 2020
212020
Image biomarker standardisation initiative-feature definitions. arXiv 2016
A Zwanenburg, S Leger, M Vallières, S Löck
arXiv preprint arXiv:1612.07003, 2016
162016
Radiomics-based tumor phenotype determination based on medical imaging and tumor microenvironment in a preclinical setting
J Müller, S Leger, A Zwanenburg, T Suckert, A Lühr, E Beyreuther, ...
Radiotherapy and Oncology 169, 96-104, 2022
132022
The image-based preoperative fistula risk score (preFRS) predicts postoperative pancreatic fistula in patients undergoing pancreatic head resection
FR Kolbinger, J Lambrecht, S Leger, T Ittermann, S Speidel, J Weitz, ...
Scientific Reports 12 (1), 4064, 2022
132022
FDG uptake in normal tissues assessed by PET during treatment has prognostic value for treatment results in head and neck squamous cell carcinomas undergoing radiochemotherapy
S Zschaeck, S Löck, S Leger, R Haase, A Bandurska-Luque, S Appold, ...
Radiotherapy and Oncology 122 (3), 437-444, 2017
132017
Physical correction model for automatic correction of intensity non-uniformity in magnetic resonance imaging
S Leger, S Löck, V Hietschold, R Haase, HJ Böhme, N Abolmaali
Physics and Imaging in Radiation Oncology 4, 32-38, 2017
122017
Artificial Intelligence for context-aware surgical guidance in complex robot-assisted oncological procedures: An exploratory feasibility study
FR Kolbinger, S Bodenstedt, M Carstens, S Leger, S Krell, FM Rinner, ...
European Journal of Surgical Oncology, 106996, 2023
112023
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