Estimation of Regional Electrical Properties of the Heart from 12-Lead ECG and Images. - Philipp Seegerer; Tommaso Mansi; Marie-Pierre Jolly; Dominik Neumann; Bogdan Georgescu; Ali Kamen; Elham Kayvanpour; Ali Amr; Farbod Sedaghat-Hamedani; Jan Haas; Hugo A. Katus; Benjamin Meder; et al. (STACOM, 2014)

Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals. - Oliver Zettinig; Tommaso Mansi; Dominik Neumann; Bogdan Georgescu; Saikiran Rapaka; Philipp Seegerer; Elham Kayvanpour; Farbod Sedaghat-Hamedani; Ali Amr; Jan Haas; Henning Steen; Hugo A. Katus; et al. (Medical Image Anal., 2014)

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods. - Miriam Hägele; Philipp Seegerer; Sebastian Lapuschkin; Michael Bockmayr; Wojciech Samek; Frederick Klauschen; Klaus-Robert Müller; Alexander Binder (CoRR, 2019)

Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning. - Seul-Ki Yeom; Philipp Seegerer; Sebastian Lapuschkin; Simon Wiedemann; Klaus-Robert Müller; Wojciech Samek (CoRR, 2019)

iNNvestigate Neural Networks! - Maximilian Alber; Sebastian Lapuschkin; Philipp Seegerer; Miriam Hägele; Kristof T. Schütt; Grégoire Montavon; Wojciech Samek; Klaus-Robert Müller; Sven Dähne; Pieter-Jan Kindermans (J. Mach. Learn. Res., 2019)

Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images. - Philipp Seegerer; Alexander Binder; René Saitenmacher; Michael Bockmayr; Maximilian Alber; Philipp Jurmeister; Frederick Klauschen; Klaus-Robert Müller (AI and ML for Digital Pathology, 2020)

Pruning by explaining: A novel criterion for deep neural network pruning. - Seul-Ki Yeom; Philipp Seegerer; Sebastian Lapuschkin; Alexander Binder; Simon Wiedemann; Klaus-Robert Müller; Wojciech Samek (Pattern Recognit., 2021)

Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics. - Maximilian Alber; Stephan Tietz; Jonas Dippel; Timo Milbich; Timothée Lesort; Panos Korfiatis; Moritz Krügener; Beatriz Perez Cancer; Neelay Shah; Alexander Möllers; Philipp Seegerer; Alexandra Carpen-Amarie; et al. (CoRR, 2025)