Kingshuk Roy Choudhuryمشاهده پروفایل
دانشیار مدعو
Kingshuk Roy Choudhury is an Adjunct Associate Professor at Duke University's Department of Biostatistics & Bioinformatics, specializing in statistical modeling and medical imaging analysis. His work spans tumor growth dynamics, neurodegenerative disease modeling, and computational imaging biomarker development. Education: Ph.D. in Biostatistics from the University of Washington (1998). Research Interests focus on advanced statistical methodologies for medical imaging data, including multi-observer studies, tumor microcirculation analysis, and spatial atrophy quantification in Alzheimer's disease. He has pioneered techniques for virtual nodule insertion and adaptive CT dose estimation, addressing critical challenges in radiology and clinical trial design. Publications highlight his expertise in liver cancer diagnostics (LI-RADS, MRI follow-up), radiation therapy outcomes (erectile dysfunction, tumor response prediction), and high-dimensional Bayesian modeling of brain connectomes. Key projects include NIH-funded studies on pulmonary ventilation MRI and radiation-induced tissue injury mitigation. Grants from the National Institutes of Health (2012–2019) support his work in healthcare systems research, tumor microcirculation, and lung imaging biomarkers. His collaborations span radiology, oncology, and neuroscience, integrating imaging with computational statistics to improve diagnostic accuracy and therapeutic monitoring.






