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Paper Details

A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion.
J Magn Reson Imaging
30
2021
Prostate Cancer, benign, cancer, cancerous tumor, patient, patients, prostate cancer, prostate disease, tumor
Artificial Intelligence, Deep Learning, Humans, Magnetic Resonance Imaging, Male, Prostatic Neoplasms, Radiology, Retrospective Studies
Author NameAffiliation
Pegah KhosraviMemorial Sloan Kettering Cancer Center
Pegah KhosraviInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Pegah KhosraviCaryl and Israel Englander Institute for Precision Medicine, The Meyer Cancer Center
Maria LysandrouNeuroscience Institute, The University of Chicago
Mahmoud EljalbyWeill Cornell Medicine of Cornell University
Qianzi LiInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Qianzi LiCarleton College
Ehsan MoghaddamYale University
Pantelis ZisimopoulosInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Pantelis ZisimopoulosCaryl and Israel Englander Institute for Precision Medicine, The Meyer Cancer Center
Alexandros SigarasInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Alexandros SigarasCaryl and Israel Englander Institute for Precision Medicine, The Meyer Cancer Center
Matthew BrendelInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Josue BarnesInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Josue BarnesCaryl and Israel Englander Institute for Precision Medicine, The Meyer Cancer Center
Camir RickettsInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Camir RickettsCaryl and Israel Englander Institute for Precision Medicine, The Meyer Cancer Center
Dmitry MeleshkoInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Dmitry MeleshkoCaryl and Israel Englander Institute for Precision Medicine, The Meyer Cancer Center
Andy YatNew York-Presbyterian Hospital
Timothy D McClureWeill Cornell Medicine of Cornell University
Brian D RobinsonNew York Presbyterian Hospital-Weill Cornell Medical College
Andrea SbonerInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Andrea SbonerNew York Presbyterian Hospital-Weill Cornell Medical College
Andrea SbonerCaryl and Israel Englander Institute for Precision Medicine, The Meyer Cancer Center
Andrea SbonerInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Andrea SbonerCaryl and Israel Englander Institute for Precision Medicine, The Meyer Cancer Center
Andrea SbonerNew York Presbyterian Hospital-Weill Cornell Medical College
Olivier ElementoInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Olivier Elemento
Olivier ElementoCaryl and Israel Englander Institute for Precision Medicine, The Meyer Cancer Center
Olivier ElementoInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Olivier ElementoCaryl and Israel Englander Institute for Precision Medicine, The Meyer Cancer Center
Olivier Elemento
Bilal ChughtaiWeill Cornell Medicine of Cornell University
Iman HajirasoulihaInstitute for Computational Biomedicine, Weill Cornell Medicine of Cornell University
Iman HajirasoulihaCaryl and Israel Englander Institute for Precision Medicine, The Meyer Cancer Center
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