| iNNvestigate neural networks! M Alber, S Lapuschkin, P Seegerer, M Hägele, KT Schütt, G Montavon, ... J. Mach. Learn. Res. 20 (93), 1-8, 2019 | 111 | 2019 |
| Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning F Klauschen, KR Müller, A Binder, M Bockmayr, M Hägele, P Seegerer, ... Seminars in cancer biology 52, 151-157, 2018 | 58 | 2018 |
| Resolving challenges in deep learning-based analyses of histopathological images using explanation methods M Hägele, P Seegerer, S Lapuschkin, M Bockmayr, W Samek, ... Scientific Reports 10 (1), 1-12, 2020 | 24 | 2020 |
| Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles A Binder, M Bockmayr, M Hägele, S Wienert, D Heim, K Hellweg, ... arXiv preprint arXiv:1805.11178, 2018 | 15 | 2018 |
| EEG correlates of visual recognition while overtly tracking a moving object M Ušćumlić, M Hägele, B Blankertz International Workshop on Symbiotic Interaction, 166-171, 2015 | 2 | 2015 |
| How to iNNvestigate neural network’s predictions! M Alber, S Lapuschkin, P Seegerer, M Hägele, KT Schütt, G Montavon, ... | 1 | 2018 |
