Bino 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.

• USC’s Mark and Mary Stevens Neuroimaging and Informatics Institute: Big Data to Knowledge Science Rotations for Advancing Discovery (RoAD-Trip) Award, 2017
   – 2017

• Visveswariah Technological University, Bangalore, India — BE — 2002 — Medical Electronics
• Wright State University, Dayton, Ohio — MS — 2005 — Imaging and Image Processing
• Wright State University, Dayton, Ohio — PhD — 2011 — Biomedical Sciences
• UCLA, Los Angeles, CA — Postdoctoral — 2012 — Cellular Mechanics

• Reliability Assessment of CT-based Radiomics Metrics in Tissue Characterization
  USC · Mar 1, 2020 – Feb 28, 2021 · Role: PI
• Radiomic signature of CD+ T cell infiltration and PD-L1 expression in metastatic renal cell carcinoma
  American Cancer Society · Sep 9, 2019 – Aug 31, 2021 · Role: CoI
• Characterizing Breast Masses Using an Integrative Framework of Machine Learning and Radiomics
  Wright Foundation · Jul 1, 2019 – Dec 31, 2020 · Role: PI
• Assessing the role of contrast-enhanced ultrasound and MV FlowTM technology of Samsung RS85 in the evaluation of renal masses
  Samsung · May 1, 2018 – Dec 31, 2020 · Role: CoI

• Imaging, quantitative imaging, radiomics, performance assessment, image-processing

• Informatics Technologies to Objectively Stratify Prostate Cancer Risk (04/20/2019)
• An Algorithm That Can Identify High-Risk Prostate Cancer (02/07/2019)

• Gill, Inderbir
• Duddalwar, Vinay
• Nayak, Krishna
• Thompson, Paul
• Toga, Arthur
• Jadvar, Hossein