Yannick Suter

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Significant Features

Survival Prediction

Magnetic Resonance Images

Top Venues

BrainLes@MICCAI (2)

MLCN/RNO-AI@MICCAI

Publications

Aurélie Pahud de Mortanges, Haozhe Luo, Shelley Zixin Shu, Amith Kamath, Yannick Suter, Mohamed Shelan, Alexander Poellinger, Mauricio Reyes
Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging. npj Digit. Medicine 7 (1) (2024)
Elias Rüfenacht, Amith Kamath, Yannick Suter, Robert Poel, Ekin Ermis, Stefan Scheib, Mauricio Reyes
PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion. Comput. Methods Programs Biomed. 231 (2023)
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
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference. CoRR (2021)
Yannick Suter, Urspeter Knecht, Roland Wiest, Ekkehard Hewer, Philippe Schucht, Mauricio Reyes
Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning. MLCN/RNO-AI@MICCAI (2020)
Yannick Suter, Urspeter Knecht, Roland Wiest, Mauricio Reyes
Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors. BrainLes@MICCAI (1) (2020)
Yannick Suter, Christian Rummel, Roland Wiest, Mauricio Reyes
Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression. ISBI (2018)
Yannick Suter, Alain Jungo, Michael Rebsamen, Urspeter Knecht, Evelyn Herrmann, Roland Wiest, Mauricio Reyes
Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction. BrainLes@MICCAI (2) (2018)
Yannick Suter, Alain Jungo, Michael Rebsamen, Urspeter Knecht, Evelyn Herrmann, Roland Wiest, Mauricio Reyes
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction. CoRR (2018)
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
Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction. ISBI (2017)