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Cancer Research|December 2, 2021
Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning-Assisted Gland AnalysisWeisi Xie, Nicholas P Reder, Can Koyuncu, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|February 20, 2022
Oropharyngeal cancer outcomes correlate with p16 status, multinucleation and immune infiltrationDavid C Wilde, Patricia D Castro, Kaustav Bera, et al.
The Journal of Clinical Investigation|March 2, 2021
Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinomaCan F Koyuncu, Cheng Lu, Kaustav Bera, et al.
Circulation. Arrhythmia and Electrophysiology|July 7, 2020
Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac ElectrophysiologyAlbert K Feeny, Mina K Chung, Anant Madabhushi, et al.
Biorxiv : the Preprint Server for Biology|August 8, 2025
Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessmentsGan Gao, Renao Yan, Andrew H Song, et al.
Journal for Immunotherapy of Cancer|October 26, 2024
Ten challenges and opportunities in computational immuno-oncologyRiyue Bao, Alan Hutson, Anant Madabhushi, et al.
Medical Image Analysis|January 15, 2014
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challengeGeert Litjens, Robert Toth, Wendy van de Ven, et al.
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