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2020 – today
- 2024
[j2]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)- 2023
- [j1]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: 107374 (2023) - [c6]Yannick Suter, Flurina Schuhmacher, Ekin Ermis, Urspeter Knecht, Philippe Schucht, Roland Wiest, Mauricio Reyes:
Towards Radiomics-Based Automated Disease Progression Assessment for Glioblastoma Patients. BrainLes/SWITCH@MICCAI 2023: 36-47 - 2021
- [b1]Yannick Suter:
Advanced Machine Learning Technologies for Robust Longitudinal Radiomics and Response Assessment in Glioblastoma Multiforme. University of Bern, Switzerland, 2021 - [i2]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 abs/2103.05437 (2021) - 2020
- [c5]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: 307-317 - [c4]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: 129-138
2010 – 2019
- 2018
- [c3]Yannick Suter, Christian Rummel, Roland Wiest, Mauricio Reyes:
Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression. ISBI 2018: 1052-1055 - [c2]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: 429-440 - [i1]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 abs/1811.04907 (2018) - 2017
- [c1]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: 774-777
Coauthor Index
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