Manoj Saranathan is a professor and MRI physicist with nine years of academic experience and a two-decade+ industry-research trajectory developing and translating advanced MRI methods for body and brain imaging. He collaborates closely with radiologists, neuroscientists and neurosurgeons to push clinical applications—ranging from early cancer detection and non-contrast angiography to MRI-guided real-time DBS electrode placement. His work spans academia and industry, contributing ultra-fast imaging techniques deployed clinically at Stanford and productized for MRI vendors, as well as cardiac and real-time MRI innovations from earlier work with GE and NIH partners. Combining a PhD in bioengineering with hands-on translation at major medical centers, he blends deep technical MRI physics with practical clinical impact. Notably, he also applies imaging methods to neuroscience questions such as alcoholism-related brain changes, reflecting a rare mix of clinical, technical and cognitive-science collaborations.
9 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD), Bioengineering and Biomedical Engineering, Doctor of Philosophy (PhD), Bioengineering and Biomedical Engineering at University of Washington
Docker container for THOMAS, a multi-atlas method for thalamic nuclei segmentation. THOMAS itself can be found at https://github.com/thalamicseg/thomas_new
Contributions:34 commits, 14 pushes in 1 year 4 months
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Manoj Saranathan - Professor at University of Arizona, Tucson