Indranil Guha

Hi, I am a computational scientist at MD Anderson Cancer Center in Houston. I have masters and Ph.D. degree in Electrical and Computer Engineering from the University of Iowa. I was fortunate to have Prof. Punam Kumar Saha as my Ph.D. advisor. After bachelors in Computer Science and Engineering from Jadavpur University in 2016. After Completing my bachelors, I worked as software development engineer at Time Inc India (now Meredith Corporation) for one year before moving to Iowa in fall 2017.

My research interest lies at the intersection of image processing, computational modelling, and deep learning. Currently I am working on developing computational models and AI-based image analysis tools for extracting vascular and hemodynamic features of the brain tissue using MR and microscopic imaging for better understanding of cerebrovascular function, integrity, and architecture. My Ph.D. thesis focused on overcoming the challenges associated with assessing bone microstructural quality from low-resolution in vivo CT scans using deep learning and finite element analysis. My long-term research goal is to develop low-cost, reliable, fast, and generalizable software for diagnosis and monitoring of diseases using in vivo imaging.

If you have any queries related to my research ( or just wanna say hi! ) please do not hesitate to contact me. You can download a short version of my CV here.

news

Feb 7, 2023 Our Paper “A Model-Independent Method for Local Blur Estimation and its Application to Edge Detection” has been accepted at Multimedia Tools and Applications
Jan 23, 2023 Our Paper “Continuum Finite Element Analysis Generalizes In Vivo Trabecular Bone Microstructural Strength Measures between Two CT Scanners with Different Image Resolution” has been accepted at Biomedical Physics Engineering Express
Apr 11, 2022 I will be interning at Regeneron Pharmaceuticals, Inc, New York from May 2022.
Apr 6, 2022 Our Paper “CT-based Stiffness Measures of Trabecular Bone Microstructure—Cadaveric Validation and In Vivo Application” has been accepted at JBMR Plus.
Mar 11, 2022 Our Paper “Finite element analysis of trabecular bone microstructure using CT imaging and continuum mechanical modelling” has been accepted at Medical Physics.