Vinay A. Duddalwar, MD, FRCR

Vinay Duddalwar is currently the Section Chief of Abdominal Imaging at USC and the Medical Director, Imaging for the Norris Cancer Center at USC. He completed his medical education at Nagpur, radiology residencies at Pune, India and Aberdeen, UK and a fellowship in abdominal imaging and intervention at the University of British Columbia, Vancouver. He was on the faculty at Grampian University NHS Hospitals in Aberdeen UK and then subsequently moved to USC.

His interests are in the field of abdominal oncologic imaging, especially genitourinary imaging and radiomics. His research focus is in the field of renal mass imaging, including contrast enhanced ultrasound, as well as quantitative imaging. He has funded research currently ongoing in these areas. He has presented over a 100 abstracts at scientific meetings and has authored a number of peer reviewed articles, reviews, and book chapters. He is an active member of a number of national and international radiology societies. He is a GU section editor for Clinical Radiology as well as reviewer for a number of radiology and urology journals.


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Bino A. Varghese, PhD

Bino Varghese is an Assistant Professor of Research with expertise in imaging, image processing, quantification and biomechanics. He obtained his B.E. in Medical Electronics from Visveswariah Technological University in 2002 and his Master's degree in Biomedical Engineering with a focus in 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."

In Feb 2014, he joined the Department of Radiology at USC as a Research Laboratory Specialist. 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.


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Bhushan Desai, MBBS, MS

Bhushan_Desai is an Assistant Professor and Director of Clinical Research in the Department of Radiology at the Keck School of Medicine of USC. He completed his MD training in India in 2007 and joined the Keck School of Medicine of USC to gain specialized training in clinical research with focus on patient oriented translational research. He has extensive practical experience in imaging research (presented thesis based on NIH R01 project, "(Role of FDG PET/CT in Prostate Cancer)" and has been involved in several multidisciplinary research projects in collaborations with colleagues in the Department of Radiology as well as other departments at KSOM and other schools at USC. He also closely work with several junior and senior faculty members in the Department of Radiology and helps them write research proposals which can lead to grant funding. He also successfully mentors junior faculty members and medical students in various aspects of research and helps them get research grants and scholarships. medical students in various aspects of research and helps them get research grants and scholarships.

As Director of the Clinical Research Program in the Department of Radiology, his mission is to provide resources for clinical/translational research that are innovative and cutting edge.

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Darryl H. Hwang, PhD

Darryl Hwang is an Assistant Professor of Research and Director of the 4D Quantitative Imaging Lab in the Department of Radiology at the Keck School of Medicine of USC. He is a life-long Trojan, obtaining his Bachelor of Science in Biomedical Engineering (emphasis in Biochemical Engineering), Master of Science in Biomedical Engineering (Medical Imaging and Imaging Informatics), and Doctor of Philosophy from University of Southern California. His past experiences range a broad swath of science and engineering, including DNA computing, technology start-ups, science education, and autism information distribution.

He is actively engaged in clinical translational research by providing technical expertise in medical image processing, software development, and workflow automation and optimization. His research interests pertain to the application of quantitative algorithms and efficient processing to all divisions and modality in radiology.

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Steven Cen, PhD

Dr. Cen has extensive research experience in database and statistics with application in imaging study and clinical trial. He is the statistical advisor of BMJ-Heart Editorial Board, and the in-house lead biostatistician for 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.

He also served as the co-director of 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.

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Felix Y. Yap, MD

Felix is currently a second-year diagnostic radiology resident at the University of Southern California. Radiology's unique roots in mathematics, physics, and engineering are the basis underlying our field's objective and reproducible methods for diagnosing disease. In this same spirit, he aims to validate the use of quantitative shape metrics as a biomarker for noninvasively differentiating benign from malignant renal tumors. In addition to his radiology training, he possess a biomedical engineering background, with expertise in MATLAB and quantitative image analysis.

In two previous projects at Duke University and University of Illinois at Chicago, he designed computerized algorithms that can efficiently analyze large cohorts of images and extract the targeted quantitative information:

(1) colorimetric analysis to calculate the amount of fibrosis on a histology slide specimen, and

(2) shape analysis to quantify the morphologic irregularity of hepatic tumors on cross-sectional imaging.

Lukas Ferrer

"Fascinated by the biophysics of physiological systems, Lukas quickly enrolled in Viterbiļæ½s Progressive Degree Program to pursue a Masters in BME (in parallel with his undergrad) to further his understanding of the tools of biological signal acquisition, analysis, and interpretation.

In the Radiomics Lab, Lukas facilitates progress by exploring novel signal processing techniques and coding custom DICOM filters for specific radiological diagnostic applications. Currently, he is focusing on biomimetic filters inspired by the mammalian visual pathway.

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Past Students

  • Chidubem Ugwueze,
  • Mike Kwon,
  • Megha Nayyar,
  • Michael Chang,
  • Christopher Deng,
  • Qi Wang,
  • Yanwen Xi,
  • Soumya Da,
  • Tania Gill,
  • Ting-Wei Fan,