Yannick Raphael Suter

Postdoc, Universität Bern

Joined

February 2019

Names

Yannick Suter

Emails

****@istb.unibe.ch (Confirmed)

****@unibe.ch (Confirmed)

****@gmail.com (Confirmed)

****@artorg.unibe.ch (Confirmed)

Personal Links

Google Scholar

ORCID

Career & Education History

Postdoc

Universität Bern (unibe.ch)

2021 – Present

Graduate Student

Universität Bern (unibe.ch)

2017 – 2021

Advisors, Relations & Conflicts

No relations added

Expertise

Brain tumors

glioblastoma

regression

classification

epilepsy

response assessment

imaging

biomarkers

MRI

2016 – Present

Publications

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
- 2021 (modified: 19 Dec 2021)
- CoRR 2021
- Readers: Everyone
Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors
Yannick Suter, Urspeter Knecht, Roland Wiest, Mauricio Reyes
- 2020 (modified: 19 Dec 2021)
- BrainLes@MICCAI (1) 2020
- Readers: Everyone
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
- 2020 (modified: 19 Dec 2021)
- MLCN/RNO-AI@MICCAI 2020
- Readers: Everyone
Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression
Yannick Suter, Christian Rummel, Roland Wiest, Mauricio Reyes
- 2018 (modified: 19 Dec 2021)
- ISBI 2018
- Readers: Everyone
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
- 2018 (modified: 19 Dec 2021)
- BrainLes@MICCAI (2) 2018
- Readers: Everyone
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
- 2018 (modified: 19 Dec 2021)
- CoRR 2018
- Readers: Everyone
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
- 2017 (modified: 19 Dec 2021)
- ISBI 2017
- Readers: Everyone

Co-Authors

View all 33 co-authors

Yannick Raphael Suter

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

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

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

Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning

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

Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction

Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction

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

Co-Authors