Satish Viswanath, PhD

Assistant Professor
Department of Biomedical Engineering
School of Medicine
Case School of Engineering
Assistant Professor
Department of Radiology
School of Medicine
Assistant 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

Research Information

Research Projects

The primary focus of my lab is developing new image analytics, radiomics, and machine learning schemes for imaging data. The key innovation lies in handcrafting and designing unique tools that can capture biologically relevant and clinically intuitive measurements from routinely acquired imaging (MRI, CT, PET). 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. 

Applications of our tools are being examined in: 

- Computer-aided diagnosis & disease characterization

- Decision support for treatment (e.g. choice of therapy) and targeting therapeutic procedures

- Quantitative evaluation of response to treatment in vivo

This multi-disciplinary, multi-pronged approach is being applied to colorectal, renal, and prostate cancers, as well as digestive diseases.

 

https://www.youtube.com/watch?v=kCiHaXQqX-A

Awards and Honors

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
Member, Institute of Electrical and Electronics Engineers (IEEE), 2012-Present
Member, Society of Photonics and Instrumentation Engineers (SPIE), 2008-Present

External Appointments

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

Publications

View All Publications

Viswanath, S+, Tiwari P+, Lee, G+, Madabhushi, A, Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases. BMC Med Imaging. 2017 Jan 5;17(1):2. (+joint first authors) [PMID: 28056889, PMCID: PMC5217665]

Antunes, J, Viswanath, S, Rusu, M, Valls, L, Hoimes, C, Avril, N, Madabhushi, A, Radiomics analysis on FLT-PET/MRI for characterization of early treatment response in renal cell carcinoma: a proof-of-concept studyTranslational Oncology, 9(2): 155-162, 2016 [PMID: 27084432, PMCID: PMC4833889]

Antunes J., Prasanna P., Madabhushi A., Tiwari P., Viswanath S. (2017) RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction. In: Descoteaux M., Maier-Hein L., Franz A., Jannin P., Collins D., Duchesne S. (eds) Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017. MICCAI 2017. Lecture Notes in Computer Science, vol 10434. Springer, Cham

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