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Ryan Phillips
Mayo Clinic
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SCHOLARLY PAPERS
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Scholarly Papers (1)
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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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Abstract:
Prostate, Radiomics, PSMA-PET
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