Urspeter Knecht
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
2
Active years
2016–2020
Best venue rank
A
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | MICCAI | 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 |
| 2018 | MICCAI | 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 |
| 2017 | MICCAI | Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction. | Alain Jungo, Richard McKinley, Raphael Meier, Urspeter Knecht, Luis Vera, Julin Prez-Beteta, David Molina-Garca, Vctor M. Prez-Garca, Roland Wiest, Mauricio Reyes |
| 2016 | ESANN | A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases. | Victor Mocioiu, Nuno Miguel Pedrosa de Barros, Sandra Ortega-Martorell, Johannes Slotboom, Urspeter Knecht, Carles Ars, Alfredo Vellido, Margarida Juli-Sap |
| 2016 | MICCAI | CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias. | Raphael Meier, Urspeter Knecht, Roland Wiest, Mauricio Reyes |