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Office
2401 S 31st St
Temple, TX 76508
Summary
- Dr. Roland Tian is a pathology specialist located in Temple, TX, with subspecialties in anatomic and clinical pathology. He completed his MD at the University of Sydney and further pursued an MBA at Trinity College Dublin. His residency in pathology is at Baylor Scott & White Medical Center, where he serves as a Pathology Resident. Dr. Tian has collaborated in research and served as a research fellow at Mayo Clinic. His expertise includes medical technology/informatics and digital pathology, and he has published multiple papers on topics such as nuclear detection algorithms and digital pathology tools, presented at major conferences like USCAP and CAP.
Education & Training
Texas A&M College of Medicine-Scott and White Medical Center (Temple)Residency, Pathology-Anatomic and Clinical, 2024 - 2028
Trinity College DublinMaster of Business Administration (MBA), 2016 - 2017- University of SydneyClass of 2013, MD
- University of SydneyBachelor of Science, Anatomy and Histology, 2008 - 2009
Publications & Presentations
PubMed
- Ten Years of Pathology on Twitter (X): Landscape and Evolution of Pathology on Twitter From 2012 to 2023.Roland Tian, Eric Wang, Priyadharshini Sivasubramaniam, Swikrity U Baskota, Anurag Sharma
Archives of Pathology & Laboratory Medicine. 2025-01-01
Abstracts/Posters
- Comparison of Clinical, Histopathologic, and Genomic Features with Cell Morphology as Measured by Three Leading Nuclear Detection Algorithms: Results from StarDist, Qu...Tian R, Cannon A, Elhalaby R, Hartley C, Platform presentation at USCAP 2024, Baltimore, 3/26/2024
- Application of QuPath Open-Source Digital Tools for Detection of CD3-Positive Lymphocytes in Myocardial Tissue: A Pilot Study for Classification of Lymphocytic Myocard...Tian R, Hartley C, Maleszewski J, Cannon A, Sivasubramaniam P, De Gaspari M, Patel A, Bois M, USCAP 2024, Baltimore, 3/26/2024
- Digital Detection of Nuclei: Comparison of the StarDist, Qupath, and Cellpose Algorithms on Melanomas in the Cancer Genome Atlas (TCGA) DatabaseTian R, Cannon A, Elhalaby R, Hartley C, USCAP 2024, Baltimore, 3/27/2024
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