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Toxicologic Pathology|February 12, 2021
Proof of Concept for a Deep Learning Algorithm for Identification and Quantification of Key Microscopic Features in the Murine Model of DSS-Induced ColitisAgathe Bédard, Thomas Westerling-Bui, Aleksandra Zuraw
Toxicologic Pathology|January 5, 2021
Screening For Bone Marrow Cellularity Changes in Cynomolgus Macaques in Toxicology Safety Studies Using Artificial Intelligence ModelsMark A Smith, Thomas Westerling-Bui, Angela Wilcox, et al.
Toxicologic Pathology|December 29, 2020
Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological PathologyAleksandra Zuraw, Michael Staup, Robert Klopfleisch, et al.
Acta Neuropathologica Communications|August 22, 2021
Deep learning assisted quantitative assessment of histopathological markers of Alzheimer's disease and cerebral amyloid angiopathyValentina Perosa, Ashley A Scherlek, Mariel G Kozberg, et al.
Archives of Pathology & Laboratory Medicine|April 22, 2024
Democratizing Artificial Intelligence in Anatomic PathologyThomas J Flotte, Stephanie A Derauf, Rachel K Byrd, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|May 1, 2025
Quantitative Analysis of Rectal Cancer Biopsies With the Digital Pathology Segmentation Algorithm QuantCRC Associates With Therapy Response and RecurrenceReetesh K Pai, Cody Eslinger, Kenneth Lee, et al.
Journal of Pathology Informatics|October 21, 2022
Development and technical validation of an artificial intelligence model for quantitative analysis of histopathologic features of eosinophilic esophagitisLuisa Ricaurte Archila, Lindsey Smith, Hanna-Kaisa Sihvo, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|February 29, 2024
Improved Risk-Stratification Scheme for Mismatch-Repair Proficient Stage II Colorectal Cancers Using the Digital Pathology Biomarker QuantCRCChristina Wu, Reetesh K Pai, Heidi Kosiorek, et al.
Virchows Archiv : an International Journal of Pathology|October 8, 2025
Utility of quantitative pathologic analysis of pT1 colorectal carcinomas to improve prediction of lymph node metastasisPriya Nayak, Heidi Kosiorek, Reetesh K Pai, et al.
Gastroenterology|August 19, 2022
Quantitative Pathologic Analysis of Digitized Images of Colorectal Carcinoma Improves Prediction of Recurrence-Free SurvivalReetesh K Pai, Imon Banerjee, Sameer Shivji, et al.
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