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Tom Hrinivich

affiliation not provided to SSRN

  • affiliation not provided to SSRN

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Machine Learning Predicts Conventional Imaging Metastasis-Free Survival (Mfs) for Oligometastatic Castration-Sensitive Prostate Cancer (Omcspc) Using Prostate-Specific Membrane Antigen (Psma) Pet Radiomics

Number of pages: 24 Posted: 02 Jun 2024
Yufeng Cao, Philip Sutera, William Silva Mendes, Bardia Yousefi, Tom Hrinivich, Matthew Deek, Ryan Phillips, Danny Song, Ana Kiess, Ozan Cem Guler, Nese Torun, Mehmet Reyhan, Amit Sawant, Luigi Marchionni, Nicole L. Simone, Phuoc Tran, Cem Onal and Lei Ren
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Rutgers University, New Brunswick - Rutgers Cancer Institute of New Jersey, Mayo Clinic, affiliation not provided to SSRN, affiliation not provided to SSRN, Baskent University, Baskent University, affiliation not provided to SSRN, affiliation not provided to SSRN, Cornell University - Weill Cornell Medicine, Thomas Jefferson University, affiliation not provided to SSRN, Baskent University and affiliation not provided to SSRN
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Prostate, Radiomics, PSMA-PET