Satish Viswanath, PhD

The primary focus of my research has been developing new image analytics, radiomics, and machine learning schemes, applied to problems in computer-aided diagnosis & detection, disease characterization, as well as quantitative evaluation of response to treatment; in gastrointestinal cancers and digestive diseases. The key innovation in my approach lies in handcrafting and designing unique tools that can capture biologically relevant and clinically intuitive measurements from routinely acquired imaging (MRI, CT, PET) or digitized images of tissue specimens. Further, by conducting cross-scale associations between imaging, pathology, and -omics through multimodal fusion, these tools can “unlock” the information captured by different data modalities. I have authored nearly 30 peer-reviewed journal publications, over 80 conference papers & abstracts, 1 book chapter, as well as delivered over 40 invited talks and panel discussions both in the US and abroad. I have 6 issued patents in the areas of medical image analysis, computer-aided diagnosis, and pattern recognition. In addition to being an Associate Editor for 3 peer-reviewed journals, I serve on the Program Committee 4 ,major technical conferences, as well as being co-leader for the Case Comprehensive Cancer Center Machine Learning Working Group. In 2020, I have been named as one of Crain’s Business Cleveland “40 under 40”. I have been funded for my research in colorectal cancers and digestive diseases through the DOD/CDMRP, the NIH/NCI, and the State of Ohio.