Uncertainty-Driven Refinement of Tumor-Core Segmentation Using 3D-to-2D Networks with Label Uncertainty. - Richard McKinley; Michael Rebsamen; Katrin Daetwyler; Raphael Meier; Piotr Radojewski; Roland Wiest (BrainLes@MICCAI (1), 2020)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

Simultaneous multi-region detection of GABA+ and Glx using 3D spatially resolved SLOW-editing and EPSI-readout at 7T. - Guodong Weng; Johannes Slotboom; Philippe Schucht; Ekin Ermis; Roland Wiest; Stefan Klöppel; Jessica Peter; Irena Zubak; Piotr Radojewski (NeuroImage, 2024)

Learning from spatially inhomogenous data: resolution-adaptive convolutions for multiple sclerosis lesion segmentation. - Ivan Diaz; Florin Scherer; Yanik Berli; Roland Wiest; Helly Hammer; Robert Hoepner; Alejandro Leon Betancourt; Piotr Radojewski; Richard McKinley (CoRR, 2025)

The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information. - Daniel Abler; O. Pusterla; A. Joye-Kühnis; Nicolaus Andratschke; Meritxell Bach; A. Bink; S. M. Christ; Patric Hagmann; B. Pouymayou; E. Pravatà; Piotr Radojewski; Mauricio Reyes 001; et al. (CoRR, 2025)