Yannick Suter

According to our database, Yannick Suter authored at least 8 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Comput. Methods Programs Biomed., April, 2023

2021

Advanced Machine Learning Technologies for Robust Longitudinal Radiomics and Response Assessment in Glioblastoma Multiforme.

Yannick Suter

PhD thesis, 2021

The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference.

Fabian Balsiger, Alain Jungo, Naren Akash R. J, Jianan Chen, Ivan Ezhov, Shengnan Liu, Jun Ma, Johannes C. Paetzold, Vishva Saravanan R, Anjany Sekuboyina, Suprosanna Shit, Yannick Suter, Moshood Yekini, Guodong Zeng, Markus Rempfler

CoRR, 2021

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

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors.

Yannick Suter, Urspeter Knecht, Roland Wiest, Mauricio Reyes

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression.

Yannick Suter, Christian Rummel, Roland Wiest, Mauricio Reyes

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction.

Fan Zhang, Pegah Kahali, Yannick Suter, Isaiah Norton, Laura Rigolo, Peter Savadjiev, Yang Song, Yogesh Rathi, Tom Weidong Cai, William M. Wells III, Alexandra J. Golby, Lauren J. O'Donnell

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017