Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.

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Title: Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.
Authors: Thakur S; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA; Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, Maharashtra, India., Doshi J; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Pati S; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Rathore S; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Sako C; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Bilello M; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Ha SM; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Shukla G; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA; Department of Radiation Oncology, Christiana Care Health System, Philadelphia, PA, USA; Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA., Flanders A; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA., Kotrotsou A; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, TX, USA., Milchenko M; Department of Radiology, Washington University, School of Medicine, St. Louis, MO, USA., Liem S; Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA., Alexander GS; Department of Radiation Oncology, University of Maryland, Baltimore, MD, USA., Lombardo J; Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA; Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA., Palmer JD; Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA; Department of Radiation Oncology, James Cancer Center, The Ohio State University, Columbus, OH, USA., LaMontagne P; Department of Radiology, Washington University, School of Medicine, St. Louis, MO, USA., Nazeri A; Department of Radiology, Washington University, School of Medicine, St. Louis, MO, USA., Talbar S; Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, Maharashtra, India., Kulkarni U; Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, Maharashtra, India., Marcus D; Department of Radiology, Washington University, School of Medicine, St. Louis, MO, USA., Colen R; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, TX, USA., Davatzikos C; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Erus G; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Bakas S; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: sbakas@upenn.edu.
Source: NeuroImage [Neuroimage] 2020 Oct 15; Vol. 220, pp. 117081. Date of Electronic Publication: 2020 Jun 27.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 9215515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9572 (Electronic) Linking ISSN: 10538119 NLM ISO Abbreviation: Neuroimage Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1095-9572
DOI:10.1016/j.neuroimage.2020.117081