Thomas Wollmann
Thomas Wollmann
BioQuant Center Heidelberg
Verified email at bioquant.uni-heidelberg.de
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
3282018
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
822019
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
152017
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
122016
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
102019
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
102017
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
82018
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
72019
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
72018
Automatic breast cancer grading in lymph nodes using a deep neural network
T Wollmann, K Rohr
arXiv preprint arXiv:1707.07565, 2017
72017
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, 316-321, 2018
62018
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 (11 …, 2019
52019
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
52018
Erfolgreiches Lernen durch gamifiziertes E-Learning
F Pawelka, T Wollmann, J Stöber, TV Lam
Informatik 2014, 2014
52014
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
42019
Black-box hyperparameter optimization for nuclei segmentation in prostate tissue images
T Wollmann, P Bernhard, M Gunkel, DM Braun, J Meiners, R Simon, ...
Bildverarbeitung für die Medizin 2019, 345-350, 2019
42019
Automatic grading of breast cancer whole-slide histopathology images
T Wollmann, K Rohr
Bildverarbeitung für die Medizin 2017, 249-253, 2017
42017
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
12020
Design And Evaluation Of Exergaming Concepts For Heart Rate Variability Biofeedback Training
T Wollmann
Heidelberg University, 2016
1*2016
Deep Learning for Detection and Segmentation in High-Content Microscopy Images
T Wollmann
Heidelberg University, 2020
2020
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Articles 1–20