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European Urology Focus|April 30, 2024
Diagnostic Utility of Artificial Intelligence-assisted Transperineal Biopsy Planning in Prostate Cancer Suspected Men: A Prospective Cohort StudyKarsten Guenzel, Georg Lukas Baumgaertner, Anwar R Padhani, et al.
Magnetic Resonance Imaging|July 25, 2016
Application of an unsupervised multi-characteristic framework for intermediate-high risk prostate cancer localization using diffusion-weighted MRIRaisa Z Freidlin, Harsh K Agarwal, Sandeep Sankineni, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 1, 2018
Prospective comparison of PI-RADS version 2 and qualitative in-house categorization system in detection of prostate cancerSonia Gaur, Stephanie Harmon, Sherif Mehralivand, et al.
Biology of Reproduction|November 9, 2025
The Utility of Artificial Intelligence and Deep Learning to Automate and Accelerate Follicle Counts in Human Ovarian TissueAlena Arlova, Jacqueline C Yano Maher, Hannah Anvari, et al.
Diagnostics (Basel, Switzerland)|May 13, 2026
Artificial Intelligence-Based Approach for Automated Gonad Volume Quantification Using Magnetic Resonance Imaging in Healthy Adolescents Across PubertyFahmida Haque, Stephanie A Harmon, Allison Kumnick, et al.
AJR. American Journal of Roentgenology|June 29, 2022
Radiomics in Abdominopelvic Solid-Organ Oncologic Imaging: Current StatusXiaoyang Liu, Mohamed G Elbanan, Antonio Luna, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|April 1, 2011
Documenting the location of systematic transrectal ultrasound-guided prostate biopsies: correlation with multi-parametric MRIBaris Turkbey, Sheng Xu, Jochen Kruecker, et al.
Quantitative Imaging in Medicine and Surgery|March 20, 2020
Spatial density and diversity of architectural histology in prostate cancer: influence on diffusion weighted magnetic resonance imagingStephanie A Harmon, G Thomas Brown, Thomas Sanford, et al.
Medical Physics|March 1, 2023
Deep learning-based decision forest for hereditary clear cell renal cell carcinoma segmentation on MRINathan Lay, Pouria Yazdian Anari, Aditi Chaurasia, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)|June 25, 2026
Development and validation of a multimodal artificial intelligence-based model for predicting post-prostatectomy treatment outcomes from baseline biparametric prostate magnetic resonance imagingBenjamin D Simon, Esra Akcicek, Stephanie A Harmon, et al.
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