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European Heart Journal|May 13, 2021
An automated computational image analysis pipeline for histological grading of cardiac allograft rejectionEliot G Peyster, Sara Arabyarmohammadi, Andrew Janowczyk, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 16, 2021
Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findingsGermán Corredor, Paula Toro, Kaustav Bera, et al.
Endocrine Practice : Official Journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists|July 19, 2025
Artificial Intelligence in Diabetes Care: Applications, Challenges, and Opportunities AheadRohit Parab, Jenna M Feeley, Maria Valero, et al.
The Journal of Pathology|November 16, 2020
Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsiesYijiang Chen, Jarcy Zee, Abigail Smith, et al.
European Radiology|March 9, 2019
Correlation between MRI phenotypes and a genomic classifier of prostate cancer: preliminary findingsAndrei S Purysko, Cristina Magi-Galluzzi, Omar Y Mian, et al.
Current Cardiology Reports|February 19, 2025
Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive ReviewAvirup Guha, Viraj Shah, Tarek Nahle, et al.
Journal for Immunotherapy of Cancer|March 8, 2022
Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumabKhalid Jazieh, Mohammadhadi Khorrami, Anas Saad, et al.
Nature Reviews. Urology|August 5, 2025
The state of the art in artificial intelligence and digital pathology in prostate cancerHeyuan Michael Ni, Ramez Kouzy, Ali Sabbagh, et al.
NPJ Digital Medicine|June 20, 2024
PatchSorter: a high throughput deep learning digital pathology tool for object labelingCédric Walker, Tasneem Talawalla, Robert Toth, et al.
Communications Medicine|January 3, 2024
Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignanciesArpit Aggarwal, Sirvan Khalighi, Deepak Babu, et al.
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