diff --git a/_members/bino-varghese.md b/_members/bino-varghese.md index 285ed55..b949170 100644 --- a/_members/bino-varghese.md +++ b/_members/bino-varghese.md @@ -2,16 +2,13 @@ name: Bino Varghese image: images/Bino_Varghese.jpg role: principal-investigator -description: Director links: google-scholar: https://scholar.google.com/citations?user=gD0AIZAAAAAJ&hl=en&oi=ao orcid: 0000-0002-0508-2899 --- -Dr. Varghese is an Associate Professor of research in the Keck School of medicine at University of Southern California in the Department of Radiology. He leads the AIMR lab and has a primary research interest that lies at the intersection of artificial intelligence and medical/ biomedical imaging. Dr. Varghese He obtained his Bachelor’s degree in engineering in Medical Electronics from Visveswariah Technological University in 2002 and his Master’s degree in Biomedical Engineering with a focus on imaging and image processing, from the Wright State University at Dayton, Ohio in 2005. In 2010, he received his Ph.D. in Biomedical Sciences from Wright State University. His doctoral dissertation was titled “Quantitative Computed-Tomography Based Bone-Strength Indicators for the Identification of Low Bone-Strength Individuals in a Clinical Environment.” +Dr. ​Varghese is an Associate Professor of Research at USC's Keck School of Medicine, pioneering the convergence of artificial intelligence and quantitative imaging for precision health.​ As a biomedical imaging scientist, he's dedicated to unlocking the clinical potential of multi-modal imaging biomarkers, maximizing data utilization for improved patient outcomes. -Dr. Varghese trained as a postdoctoral fellow in Radiology at University of California, Los Angeles, where he combined medical imaging acquisition and analysis with cellular biomechanics and in Feb 2014, he joined the Department of Radiology at USC. Dr. Varghese has won many awards, including the Big Data to Knowledge Science Rotations Award from the USC Stevens Institute in area of Big Data Analytics. His +Leading three NIH- and foundation-funded studies, Dr. Varghese is at the forefront of early detection for Alzheimer’s Disease and Breast Cancer, leveraging standard imaging modalities and AI-driven data analysis. With expertise in building and validating image processing and radiomics pipelines, he ensures reliability and quality. His contributions to the field are reflected in over 125 peer-reviewed publications, including top-cited papers in the Journal of Clinical Medical Physics, and his service as a topic editor for Frontiers. -papers were awarded the top cited papers two years in a row in the Journal of Clinical Medical Physics. Dr. Varghese is part of several professional panels and serves in the institution review board. His current work focuses on investigating the technical feasibility and clinical value of quantifying multi-modal imaging biomarkers across various domains with an aim to maximize data utilization and increase clinical translation. - -When I am not doing something tech or research related, cooking and traveling fuel my love for life, turning each dish and destination into a cherished memory that I hold dear and celebrate. \ No newline at end of file +Beyond research, Dr. Varghese is committed to shaping the future of healthcare by training the next generation in AI and medical imaging. He actively mentors students and serves on the institutional review board. Outside of his professional pursuits, he finds joy in cooking and traveling, transforming each experience into a cherished memory. \ No newline at end of file diff --git a/_members/cen-steven.md b/_members/cen-steven.md index b47d124..f6276c5 100644 --- a/_members/cen-steven.md +++ b/_members/cen-steven.md @@ -2,11 +2,14 @@ name: Steven Cen image: images/Steven_Cen.jpg role: principal-investigator +description: Co-Investigator links: google-scholar: https://scholar.google.com/citations?user=YNXb7hAAAAAJ&hl=en&cstart=0&pagesize=20 website: https://keck.usc.edu/faculty-search/steven-yong-cen/ --- -Dr. Cen has extensive research experience in databases and statistics with applications in imaging studies and clinical trials. He is the statistical advisor of the BMJ-Heart Editorial Board and the in-house lead biostatistician for the Dept. of Neurology and Dept. of Radiology at USC Keck School of Medicine. Currently, he serves as the lead statistician of two large NIH-funded studies: Low-Cost Portable Computer-Aided Diagnosis Ultrasound System for Breast Cancer Triage in Low to Middle-Income Countries (LMIC) Environments, and Human Connectomes for Low Vision, Blindness, and Sight Restoration. +Dr. Cen is a Full Professor of Research in the Departments of Radiology and Neurology at the Keck School of Medicine, University of Southern California (USC). He is a biostatistician, data scientist, and research methodologist. He has served as a co-investigator and lead biostatistician on more than 27 major NIH-funded studies—including 2 P50s, 14 R01s, 3 U01s, 4 R21s, 1 R33, 2 R44s, and 1 R25—as well as numerous major foundation grants. More than half of these studies focus on imaging marker and biomarker development. -He also served as the co-director of the Data Management and Analysis Center (DMAC) for two NIH-funded multi-center landmark phase III clinical trials in stroke rehabilitation history – Locomotor Experience Applied Post-Stroke (LEAPS) Trial and Interdisciplinary Comprehensive Arm Rehabilitation Evaluation Stroke Initiative (I-CARE) Trial. He is also the director of Data Management and Informatics core for a large California State-funded dental health service project (USC-CHAMP) at the Herman Ostrow School of Dentistry, University of Southern California. \ No newline at end of file +Dr. Cen is a strong advocate for precision health and promotes the use of biomarkers, particularly imaging biomarkers, to dynamically guide patient care. He has authored or coauthored over 170 peer-reviewed publications in high-impact journals including NEJM, JAMA, BMJ, Radiology, Annals of Neurology, and Scientific Reports, and has reviewed over 300 peer-reviewed papers. He serves as a statistical advisor on the editorial board of BMJ Heart. + +In addition, he is dedicated to training the next generation of caregivers using modern technologies such as artificial intelligence and digital twin technology. Dr. Cen currently serves on the medical curriculum committee at the Keck School of Medicine. \ No newline at end of file diff --git a/images/Steven_Cen.jpg b/images/Steven_Cen.jpg index 247f030..a829ef5 100644 Binary files a/images/Steven_Cen.jpg and b/images/Steven_Cen.jpg differ