Urspeter Knecht

According to our database1, Urspeter Knecht authored at least 7 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2020
Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2018
Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2017
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs.
CoRR, 2017

Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

2016
CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016


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