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Knecht, Urspeter
41  Ergebnisse:
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1

Evaluating automated longitudinal tumor measurements for gl..:

Suter, Yannick ; Notter, Michelle ; Meier, Raphael...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513769/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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2

Evaluating automated longitudinal tumor measurements for gl..:

Suter, Yannick ; Notter, Michelle ; Meier, Raphael...
https://boris.unibe.ch/186568/.  , 2023
Link: https://boris.unibe.ch/1..
 
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3

The LUMIERE dataset: Longitudinal Glioblastoma MRI with exp..:

Suter, Yannick ; Knecht, Urspeter ; Valenzuela, Waldo...
https://boris.unibe.ch/175955/.  , 2022
Link: https://boris.unibe.ch/1..
 
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4

Exploratory Analysis of Qualitative MR Imaging Features for..:

Meier, Raphael ; Pahud de Mortanges, Aurélie ; Wiest, Roland.
https://boris.unibe.ch/149648/.  , 2020
Link: https://boris.unibe.ch/1..
 
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5

Radiomics for glioblastoma survival analysis in pre-operati..:

Suter, Yannick ; Knecht, Urspeter ; Alao, Mariana...
https://boris.unibe.ch/145825/.  , 2020
Link: https://boris.unibe.ch/1..
 
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6

Fully automated brain resection cavity delineation for radi..:

Ermiş, Ekin ; Jungo, Alain ; Poel, Robert...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204033/.  , 2020
Link: http://www.ncbi.nlm.nih...
 
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7

Fully automated brain resection cavity delineation for radi..:

Ermis, Ekin ; Jungo, Alain ; Poel, Robert...
https://boris.unibe.ch/143987/.  , 2020
Link: https://boris.unibe.ch/1..
 
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8

Divide and Conquer: Stratifying Training Data by Tumor Grad..:

Rebsamen, Michael ; Knecht, Urspeter ; Reyes, Mauricio...
https://boris.unibe.ch/135497/.  , 2019
Link: https://boris.unibe.ch/1..
 
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9

Divide and Conquer: Stratifying Training Data by Tumor Grad..:

Rebsamen, Michael ; Knecht, Urspeter ; Reyes, Mauricio...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848279/.  , 2019
Link: http://www.ncbi.nlm.nih...
 
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10

Stratify or Inject: Two Simple Training Strategies to Impro..:

Meier, Raphael ; Rebsamen, Michael ; Knecht, Urspeter...
http://arxiv.org/abs/1907.12941.  , 2019
Link: http://arxiv.org/abs/190..
 
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11

Deep Learning versus Classical Regression for Brain Tumor P..:

Suter, Yannick ; Jungo, Alain ; Rebsamen, Michael...
http://arxiv.org/abs/1811.04907.  , 2018
Link: http://arxiv.org/abs/181..
 
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12

Computer-aided radiological diagnostics improves the preope..:

Porz, Nicole ; Knecht, Urspeter ; Sick, Beate...
https://boris.unibe.ch/121462/.  , 2018
Link: https://boris.unibe.ch/1..
 
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13

Identifying the Best Machine Learning Algorithms for Brain ..:

Bakas, Spyridon ; Reyes, Mauricio ; Jakab, Andras...
http://arxiv.org/abs/1811.02629.  , 2018
Link: http://arxiv.org/abs/181..
 
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14

Perturb-and-MPM: Quantifying Segmentation Uncertainty in De..:

Meier, Raphael ; Knecht, Urspeter ; Jungo, Alain..
http://arxiv.org/abs/1703.00312.  , 2017
Link: http://arxiv.org/abs/170..
 
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15

Clinical Evaluation of a Fully-automatic Segmentation Metho..:

Meier, Raphael ; Knecht, Urspeter ; Loosli, Tina...
https://boris.unibe.ch/81251/.  , 2016
Link: https://boris.unibe.ch/8..
 
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