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2020 – today
- 2020
[c6]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- [c5]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
- [c4]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 - [i2]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
- [c3]Alain Jungo, Richard McKinley, Raphael Meier, Urspeter Knecht, Luis Vera, Julián Pérez-Beteta, David Molina-García, Víctor M. Pérez-García, Roland Wiest, Mauricio Reyes:
Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI 2017: 474-485 - [i1]Raphael Meier, Urspeter Knecht, Alain Jungo, Roland Wiest, Mauricio Reyes:
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs. CoRR abs/1703.00312 (2017) - 2016
- [c2]Victor Mocioiu, Nuno Miguel Pedrosa de Barros, Sandra Ortega-Martorell, Johannes Slotboom, Urspeter Knecht, Carles Arús, Alfredo Vellido, Margarida Julià-Sapé:
A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases. ESANN 2016 - [c1]Raphael Meier, Urspeter Knecht, Roland Wiest, Mauricio Reyes:
CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias. BrainLes@MICCAI 2016: 100-107
Coauthor Index
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