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Thomas Wollmann
Thomas Wollmann
Merantix - Berlin
Verified email at merantix.com - Homepage
Title
Cited by
Cited by
Year
Bioconda: a sustainable and comprehensive software distribution for the life sciences
B Grüning, R Dale, A Sjödin, J Rowe, BA Chapman, CH Tomkins-Tinch, ...
Nature Methods 15, 475-476, 2018
8502018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ...
Medical image analysis 54, 111-121, 2019
2942019
GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation
T Wollmann, M Gunkel, I Chung, H Erfle, K Rippe, K Rohr
Medical image analysis 56, 68-79, 2019
622019
Adversarial domain adaptation to improve automatic breast cancer grading in lymph nodes
T Wollmann, CS Eijkman, K Rohr
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
422018
Accessible and reproducible mass spectrometry imaging data analysis in Galaxy
MC Föll, L Moritz, T Wollmann, MN Stillger, N Vockert, M Werner, ...
GigaScience 8 (12), 2019
322019
Workflows for microscopy image analysis and cellular phenotyping
T Wollmann, H Erfle, R Eils, K Rohr, M Gunkel
Journal of biotechnology 261, 70-75, 2017
322017
Galaxy Training: A powerful framework for teaching!
S Hiltemann, H Rasche, S Gladman, HR Hotz, D Larivière, D Blankenberg, ...
PLoS computational biology 19 (1), e1010752, 2023
272023
User-Centred Design and Usability Evaluation of a Heart Rate Variability Biofeedback Game
T Wollmann, F Abtahi, A Eghdam, F Seoane, K Lindecrantz, M Haag, ...
IEEE Access, 2016
272016
DetNet: Deep neural network for particle detection in fluorescence microscopy images
T Wollmann, C Ritter, JN Dohrke, JY Lee, R Bartenschlager, K Rohr
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
252019
Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images
T Wollmann, K Rohr
Medical Image Analysis 70, 102019, 2021
222021
Deep residual Hough voting for mitotic cell detection in histopathology images
T Wollmann, K Rohr
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
202017
Deep particle tracker: Automatic tracking of particles in fluorescence microscopy images using deep learning
R Spilger, T Wollmann, Y Qiang, A Imle, JY Lee, B Müller, OT Fackler, ...
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
182018
Comparison of segmentation methods for tissue microscopy images of glioblastoma cells
D Baltissen, T Wollmann, M Gunkel, I Chung, H Erfle, K Rippe, K Rohr
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
162018
Hyperparameter optimization for image analysis: application to prostate tissue images and live cell data of virus-infected cells
C Ritter, T Wollmann, P Bernhard, M Gunkel, DM Braun, JY Lee, ...
International journal of computer assisted radiology and surgery 14, 1847-1857, 2019
152019
Multi-channel deep transfer learning for nuclei segmentation in glioblastoma cell tissue images
T Wollmann, J Ivanova, M Gunkel, I Chung, H Erfle, K Rippe, K Rohr
Bildverarbeitung für die Medizin 2018: Algorithmen-Systeme-Anwendungen …, 2018
152018
Automatic breast cancer grading in lymph nodes using a deep neural network
T Wollmann, K Rohr
arXiv preprint arXiv:1707.07565, 2017
132017
Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images
C Ritter, T Wollmann, JY Lee, A Imle, B Müller, OT Fackler, ...
Medical Image Analysis 73, 102168, 2021
112021
PITX1 is a regulator of TERT expression in prostate cancer with prognostic power
AM Poos, C Schroeder, N Jaishankar, D Röll, M Oswald, J Meiners, ...
Cancers 14 (5), 1267, 2022
92022
Deep learning particle detection for probabilistic tracking in fluorescence microscopy images
C Ritter, T Wollmann, JY Lee, R Bartenschlager, K Rohr
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 977-980, 2020
92020
Erfolgreiches Lernen durch gamifiziertes E-Learning
F Pawelka, T Wollmann, J Stöber, TV Lam
Informatik 2014, 2014
92014
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Articles 1–20