Jorge Abreu‐Gomez

Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosis

Christopher S. Lim, Jorge Abreu‐Gomez, Rebecca E. Thornhill et al. · Abdominal Radiology · 2021 · 36 citations

Urology, Engineering, Machine Learning +14

Whole-body magnetic resonance imaging (WB-MRI) reporting with the METastasis Reporting and Data System for Prostate Cancer (MET-RADS-P): inter-observer agreement between readers of different expertise levels

Paola Pricolo, E Ancona, Paul Summers et al. · Cancer Imaging · 2020 · 35 citations · Full text

Prevalence of Prostate Cancer in PI-RADS Version 2.1 Transition Zone Atypical Nodules Upgraded by Abnormal DWI: Correlation With MRI-Directed TRUS-Guided Targeted Biopsy

Christopher S. Lim, Jorge Abreu‐Gomez, Ivan Carrion et al. · American Journal of Roentgenology · 2020 · 32 citations

Utility of T2-weighted MRI to Differentiate Adrenal Metastases from Lipid-Poor Adrenal Adenomas

Wendy Tu, Jorge Abreu‐Gomez, Amar Udare et al. · Radiology Imaging Cancer · 2020 · 30 citations · Full text

Effect of observation size and apparent diffusion coefficient (ADC) value in PI-RADS v2.1 assessment category 4 and 5 observations compared to adverse pathological outcomes

Jorge Abreu‐Gomez, Daniel Walker, Tareq F. Alotaibi et al. · European Radiology · 2020 · 23 citations

Observation Size, Disease Progression, Patient Safety +9