Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction. - Fan Zhang 013; Pegah Kahali; Yannick Suter; Isaiah Norton; Laura Rigolo; Peter Savadjiev; Yang Song 001; Yogesh Rathi; Tom Weidong Cai; William M. Wells III; Alexandra J. Golby; Lauren J. O'Donnell (ISBI, 2017)

Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression. - Yannick Suter; Christian Rummel; Roland Wiest; Mauricio Reyes 001 (ISBI, 2018)

Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction. - Yannick Suter; Alain Jungo; Michael Rebsamen; Urspeter Knecht; Evelyn Herrmann; Roland Wiest; Mauricio Reyes 001 (BrainLes@MICCAI (2), 2018)

Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors. - Yannick Suter; Urspeter Knecht; Roland Wiest; Mauricio Reyes 001 (BrainLes@MICCAI (1), 2020)

Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning. - Yannick Suter; Urspeter Knecht; Roland Wiest; Ekkehard Hewer; Philippe Schucht; Mauricio Reyes 001 (MLCN/RNO-AI@MICCAI, 2020)

The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference. - Fabian Balsiger; Alain Jungo; Naren Akash R. J; Jianan Chen 001; Ivan Ezhov; Shengnan Liu; Jun Ma 016; Johannes C. Paetzold; Vishva Saravanan R; Anjany Sekuboyina; Suprosanna Shit; Yannick Suter; et al. (CoRR, 2021)

Advanced Machine Learning Technologies for Robust Longitudinal Radiomics and Response Assessment in Glioblastoma Multiforme. - Yannick Suter (2021)

Towards Radiomics-Based Automated Disease Progression Assessment for Glioblastoma Patients. - Yannick Suter; Flurina Schuhmacher; Ekin Ermis; Urspeter Knecht; Philippe Schucht; Roland Wiest; Mauricio Reyes 001 (BrainLes/SWITCH@MICCAI, 2023)

PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion. - Elias Rüfenacht; Amith Kamath; Yannick Suter; Robert Poel; Ekin Ermis; Stefan Scheib; Mauricio Reyes 001 (Comput. Methods Programs Biomed., 2023)

Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging. - Aurélie Pahud de Mortanges; Haozhe Luo; Shelley Zixin Shu; Amith Kamath; Yannick Suter; Mohamed Shelan; Alexander Poellinger; Mauricio Reyes 001 (npj Digit. Medicine, 2024)