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Paper Details

Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma.
Cancer
52
2020
Patients, PsP, TP, glioblastoma, patients, tumor
Author NameAffiliation
Spyridon BakasCenter for Biomedical Image Computing and Analytics, University of Pennsylvania
Spyridon BakasPerelman School of Medicine, University of Pennsylvania
Spyridon BakasPerelman School of Medicine, University of Pennsylvania
Jeffrey D RudiePerelman School of Medicine, University of Pennsylvania
Adam E FlandersThomas Jefferson University Hospital
Adam E FlandersThomas Jefferson University Hospital
Donald M O'RourkePerelman School of Medicine, University of Pennsylvania
Michel BilelloCenter for Biomedical Image Computing and Analytics, University of Pennsylvania
Michel BilelloPerelman School of Medicine, University of Pennsylvania
Maria Martinez-LageMassachusetts General Hospital, Harvard Medical School
Maria Martinez-LageMassachusetts General Hospital, Harvard Medical School
Christos DavatzikosCenter for Biomedical Image Computing and Analytics, University of Pennsylvania
Christos DavatzikosPerelman School of Medicine, University of Pennsylvania
Christos DavatzikosCenter for Biomedical Image Computing and Analytics, University of Pennsylvania
Christos DavatzikosPerelman School of Medicine, University of Pennsylvania
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