Urspeter Knecht

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 8

Top Topics

Brain Tumor Segmentation

Magnetic Resonance Images

Predictive Features

Top Venues

BrainLes@MICCAI

BrainLes@MICCAI (2)

Publications

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, 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)
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)
Raphael Meier, Urspeter Knecht, Alain Jungo, Roland Wiest, Mauricio Reyes
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs. CoRR (2017)
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)
Raphael Meier, Urspeter Knecht, Roland Wiest, Mauricio Reyes
CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias. BrainLes@MICCAI (2016)