Philipp Seegerer
Philipp Seegerer
Doctoral Researcher, Machine Learning Group, TU Berlin
Bestätigte E-Mail-Adresse bei tu-berlin.de
Titel
Zitiert von
Zitiert von
Jahr
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
552019
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), 2015
492015
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
412014
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
292018
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
72019
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
72014
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 App. 16/033,332, 2019
32019
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
22020
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
SK Yeom, P Seegerer, S Lapuschkin, S Wiedemann, KR Müller, W Samek
arXiv preprint arXiv:1912.08881, 2019
12019
How to iNNvestigate neural network’s predictions!
M Alber, S Lapuschkin, P Seegerer, M Hägele, KT Schütt, G Montavon, ...
12018
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
12018
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
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
2018
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