Predicting brain-age from raw T1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks. - Lukas Fisch; Jan Ernsting; Nils R. Winter; Vincent Holstein; Ramona Leenings; Marie Beisemann; Kelvin Sarink; Daniel Emden; Nils Opel; Ronny Redlich; Jonathan Repple; Dominik Grotegerd; et al. (CoRR, 2021)

An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling. - Tim Hahn; Jan Ernsting; Nils R. Winter; Vincent Holstein; Ramona Leenings; Marie Beisemann; Lukas Fisch; Kelvin Sarink; Daniel Emden; Nils Opel; Ronny Redlich; Jonathan Repple; et al. (CoRR, 2021)

RPTK: The Role of Feature Computation on Prediction Performance. - Jonas R. Bohn; Christian M. Heidt; Silvia Dias Almeida; Lisa Kausch; Michael Götz; Marco Nolden; Petros Christopoulos; Stephan Rheinheimer; Alan A. Peters; Oyunbileg von Stackelberg; Hans-Ulrich Kauczor; Klaus H. Maier-Hein; et al. (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance. - Jonas R. Bohn; Christian M. Heidt; Silvia Dias Almeida; Lisa Kausch; Michael Götz; Marco Nolden; Petros Christopoulos; Stephan Rheinheimer; Alan A. Peters; Oyunbileg von Stackelberg; Hans-Ulrich Kauczor; Klaus H. Maier-Hein; et al. (Bildverarbeitung für die Medizin, 2024)