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Lucas-Raphael Müller
Lucas-Raphael Müller
EMBL Heidelberg
Verified email at embl.de
Title
Cited by
Cited by
Year
Development of the open‐source dose calculation and optimization toolkit matRad
HP Wieser, E Cisternas, N Wahl, S Ulrich, A Stadler, H Mescher, ...
Medical physics 44 (6), 2556-2568, 2017
2502017
Deep learning enables fast and dense single-molecule localization with high accuracy
A Speiser, LR Müller, P Hoess, U Matti, CJ Obara, WR Legant, A Kreshuk, ...
Nature methods 18 (9), 1082-1090, 2021
1422021
Robust hand tracking for surgical telestration
LR Müller, J Petersen, A Yamlahi, P Wise, TJ Adler, A Seitel, ...
International Journal of Computer Assisted Radiology and Surgery 17 (8 …, 2022
82022
Teaching deep neural networks to localize single molecules for super-resolution microscopy
A Speiser, LR Müller, U Matti, CJ Obara, WR Legant, J Ries, JH Macke, ...
arXiv preprint arXiv:1907.00770, 2019
42019
EP-1898: Smooth animations of the probabilistic analog to worst-case dose distributions
N Wahl, HP Wieser, LR Müller, P Hennig, M Bangert
Radiotherapy and Oncology 127, S1028-S1029, 2018
22018
Universal inverse modelling of point spread functions for SMLM localization and microscope characterization
S Liu, J Chen, J Hellgoth, LR Müller, B Ferdman, D Xiao, KA Lidke, ...
Biophysical Journal 123 (3), 289a-290a, 2024
12024
Publisher Correction: Deep learning enables fast and dense single-molecule localization with high accuracy
A Speiser, LR Müller, P Hoess, U Matti, CJ Obara, WR Legant, A Kreshuk, ...
Nature methods 18 (11), 1410, 2021
12021
Inverse modelling of point spread function for single-molecule localization microscopy
S Liu, J Hellgoth, J Chen, LR Müller, B Ferdman, KA Lidke, Y Shechtman, ...
Biophysical Journal 122 (3), 280a, 2023
2023
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