Satish Viswanath, PhD

Associate Professor
Department of Biomedical Engineering
Case School of Engineering, School of Medicine
Associate Professor
Department of Radiology
School of Medicine
Associate Professor
Department of Electrical, Computer, and Systems Engineering
Case School of Engineering
Member
Cancer Imaging Program
Case Comprehensive Cancer Center
Co-Leader
CCCC Machine Learning Working Group

The primary focus of my research has been developing new artificial intelligence (AI) approaches including 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 here lies in designing unique AI tools that can capture biologically relevant and clinically intuitive measurements from routinely acquired imaging (MRI, CT, PET) or digitized images of tissue specimens. Critically, to “unlock” embedded information captured by these modalities, our AI tools inform and enrich imaging measurements with spatially resolved molecular, serum, or pathologic information. This in turn enables cross-scale association between imaging, pathology, and -omics data modalities towards building more accurate and generalizable computational imaging predictors that offer improved risk stratification, disease modeling, and biological quantitation in vivo.

I have authored nearly 50 peer-reviewed journal publications, over 100 conference papers & abstracts, 1 book chapter, as well as delivered over 60 invited talks and panel discussions both in the US and abroad. I have 10 issued patents in the areas of medical image analysis, computer-aided diagnosis, and pattern recognition. I am an Associate Editor for 3 leading medical imaging journals, serve on Program Committees for 3 major medical image analytics conferences, and have been elected to Senior Member in the National Academy of Inventors, the IEEE, and the SPIE.  In 2023, I was selected for a Fulbright Specialist Award, as a Notable in Education Leadership by Crain’s Cleveland, and for the SIIM Imaging Informatics Innovator Award. My research has been continuously funded since 2016 through the DOD/CDMRP, the NIH (NCI, NIDDK, NINR, NHLBI), as well as the State of Ohio.

Research Information

Research Interests

The primary focus of my lab is developing novel medical image analysis and machine learning tools for imaging data, through spatial correlation and cross-linking against pathology or molecular data. Applications of our tools are being examined in: (a) decision support for treatment (e.g. choice of therapy), (b) targeting therapeutic procedures (e.g. guiding ablation, radiotherapy, surgery), and (c) biological quantitation for treatment response characterization in vivo. This multi-disciplinary, multi-pronged approach is being applied to colorectal, renal, and prostate cancers, as well as digestive diseases.

Awards and Honors

Imaging Informatics Innovator Award
2023
Society for Imaging Informatics in Medicine
Notable in Education Leadership
2023
Crain’s Cleveland Business
Notable Immigrant Leader
2022
Crain’s Cleveland Business
Best Paper Award
2022
SPIE Medical Imaging (Computer-Aided Diagnosis)
DOD/CDMRP PRCRP Idea Award
2021
Best Live Demonstrations Award
2021
SPIE Medical Imaging
Finalist, MICCAI Educational Challenge
2020
Awardee, Crain’s Cleveland Business 40 under 40
2020
Best Live Demonstrations Award
2020
SPIE Medical Imaging
DOD/CDMRP PRCRP Career Development Award
2016
1st Place Scientific Poster Award
2013
SIIM Annual Meeting
SIIM Imaging Informatics Training Grant Award
2011

Professional Memberships

Member, Medical Image Computing and Computer-Assisted Intervention (MICCAI) Society, 2020-Present
Affiliated Scientific Investigator, American Society of Colon and Rectal Surgeons, 2019-Present
Senior Member, Institute of Electrical and Electronics Engineers (IEEE) (elected)
Senior Member, Society of Photonics and Instrumentation Engineers (SPIE) (elected)
Senior Member, National Academy of Inventors (NAI) (elected)

External Appointments

Associate Editor
Frontiers in Nuclear Medicine
Review Editor
Frontiers in Bioinformatics
2020
Guest Associate Editor
Medical Physics
2019
Associate Editor
BMC Medical Imaging
2018
Associate Editor
BMC Cancer
2017
Associate Editor
Innovation and Research in BioMedical Engineering
2015
Associate Editor/Area Chair
IEEE International Symposium on Biomedical Imaging (ISBI)
2021
Organizer
Tutorial on Treatment Response Assessment in Oncology: Clinical Challenges and Technical Advances (held in conjunction with MICCAI)
2020
2020
Area Chair
Medical Image Computing and Computer-Assisted Intervention (MICCAI)
2020
2020
Program Committee
International Workshop on Machine Learning in Medical Imaging (held in conjunction with MICCAI)
2019
Program Committee
Image-guided Procedures, Robotic Intervention and Modeling Conference, SPIE Medical Imaging
2018
Program Committee
SIPAIM International Symposium on Medical Information Processing and Analysis
2017

Education

Doctor of Philosophy
Rutgers, the State University of New Jersey (USA)
2012
Master of Science
University of Aberdeen (UK)
2005
Bachelor of Engineering
University of Mumbai (India)
2004

Additional Information