| 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 | 1158 | 2018 |
| 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 | 314 | 2019 |
| 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 | 67 | 2019 |
| 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 | 57 | 2023 |
| 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 | 43 | 2018 |
| 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 | 34 | 2019 |
| 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 | 34 | 2017 |
| 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 | 30 | 2016 |
| 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 | 27 | 2019 |
| Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images T Wollmann, K Rohr Medical Image Analysis 70, 102019, 2021 | 26 | 2021 |
| 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 | 21 | 2017 |
| Explainability and interpretability in electric load forecasting using machine learning techniques–A review L Baur, K Ditschuneit, M Schambach, C Kaymakci, T Wollmann, A Sauer Energy and AI, 100358, 2024 | 20 | 2024 |
| 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 | 20 | 2018 |
| 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 | 18 | 2018 |
| 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 | 16 | 2018 |
| Automatic breast cancer grading in lymph nodes using a deep neural network T Wollmann, K Rohr arXiv preprint arXiv:1707.07565, 2017 | 16 | 2017 |
| 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 | 14 | 2019 |
| 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 | 13 | 2021 |
| 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 | 10 | 2022 |
| MEAL: manifold embedding-based active learning D Sreenivasaiah, J Otterbach, T Wollmann Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 9 | 2021 |
