| iNNvestigate neural networks! M Alber, S Lapuschkin, P Seegerer, M Hägele, KT Schütt, G Montavon, ... Journal of Machine Learning Research 20 (93), 1-8, 2019 | 111 | 2019 |
| Towards personalized cardiology: multi-scale modeling of the failing heart E Kayvanpour, T Mansi, F Sedaghat-Hamedani, A Amr, D Neumann, ... PLoS One 10 (7), e0134869, 2015 | 60 | 2015 |
| 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 |
| Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals O Zettinig, T Mansi, D Neumann, B Georgescu, S Rapaka, P Seegerer, ... Medical image analysis 18 (8), 1361-1376, 2014 | 45 | 2014 |
| Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases P Jurmeister, M Bockmayr, P Seegerer, T Bockmayr, D Treue, ... Science translational medicine 11 (509), 2019 | 31 | 2019 |
| 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 |
| Pruning by explaining: A novel criterion for deep neural network pruning SK Yeom, P Seegerer, S Lapuschkin, A Binder, S Wiedemann, KR Müller, ... Pattern Recognition, 107899, 2021 | 12 | 2021 |
| System and method for characterization of electrical properties of the heart from medical images and body surface potentials P Seegerer, T Mansi, MP Jolly, B Georgescu, A Kamen, D Comaniciu, ... US Patent 10,141,077, 2018 | 9 | 2018 |
| Estimation of regional electrical properties of the heart from 12-lead ECG and images P Seegerer, T Mansi, MP Jolly, D Neumann, B Georgescu, A Kamen, ... International Workshop on Statistical Atlases and Computational Models of …, 2014 | 8 | 2014 |
| Semantic segmentation for cancer detection in digital breast tomosynthesis LM Itu, L Lazar, S Liu, O Pauly, P Seegerer, II Stroia, A Turcea, A Vizitiu, ... US Patent 10,779,785, 2020 | 5 | 2020 |
| Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images P Seegerer, A Binder, R Saitenmacher, M Bockmayr, M Alber, ... Artificial Intelligence and Machine Learning for Digital Pathology, 16-37, 2020 | 5 | 2020 |
| Method and computer for determination of a training function for generating annotated training images O Pauly, P Seegerer US Patent App. 15/845,389, 2018 | 4 | 2018 |
| How to iNNvestigate neural network’s predictions! M Alber, S Lapuschkin, P Seegerer, M Hägele, KT Schütt, G Montavon, ... | 1 | 2018 |
| System and method for characterization of electrical properties of the heart from medical images and body surface potentials P Seegerer, T Mansi, MP Jolly, B Georgescu, A Kamen, D Comaniciu, ... US Patent 10,483,005, 2019 | | 2019 |
| System and method for characterization of electrical properties of the heart from medical images and body surface potentials P Seegerer, T Mansi, MP Jolly, B Georgescu, A Kamen, D Comaniciu, ... US Patent App. 10/141,077, 2018 | | 2018 |
Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Bestätigte E-Mail-Adresse bei tu-berlin.de
