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Medical Image Analysis|December 22, 2020
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancersCheng Lu, Can Koyuncu, German Corredor, et al.
Ophthalmology Science|February 28, 2022
Characterization of Ultra-Widefield Angiographic Vascular Features in Diabetic Retinopathy with Automated Severity ClassificationDuriye Damla Sevgi, Sunil K Srivastava, Jon Whitney, et al.
Scientific Reports|November 22, 2017
Prostate shapes on pre-treatment MRI between prostate cancer patients who do and do not undergo biochemical recurrence are different: Preliminary FindingsSoumya Ghose, Rakesh Shiradkar, Mirabela Rusu, et al.
Scientific Reports|April 19, 2017
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extentAngel Cruz-Roa, Hannah Gilmore, Ajay Basavanhally, et al.
JCO Clinical Cancer Informatics|July 22, 2025
Computational Morphological Assessment of Bladder Cancer Tissue Is Prognostic of Recurrence and Overall Survival Following Transurethral ResectionPatrick Leo, Behtash G Nezami, Mahmut Akgul, et al.
Medical Physics|April 10, 2012
Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planningNajeeb Chowdhury, Robert Toth, Jonathan Chappelow, et al.
Ophthalmology Science|December 19, 2022
OCT-Derived Radiomic Features Predict Anti-VEGF Response and Durability in Neovascular Age-Related Macular DegenerationSudeshna Sil Kar, Hasan Cetin, Leina Lunasco, et al.
Cancer Research|December 11, 2024
BEEx Is an Open-Source Tool That Evaluates Batch Effects in Medical Images to Enable Multicenter StudiesYuxin Wu, Xiongjun Xu, Yuan Cheng, et al.
The Lancet. Digital Health|June 25, 2021
An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre studyAmogh Hiremath, Rakesh Shiradkar, Pingfu Fu, et al.
Academic Radiology|January 27, 2018
Coregistration of Preoperative MRI with Ex Vivo Mesorectal Pathology Specimens to Spatially Map Post-treatment Changes in Rectal Cancer Onto In Vivo Imaging: Preliminary FindingsJacob Antunes, Satish Viswanath, Justin T Brady, et al.
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