H
Harman S. Suri
Researcher at Brown University
Publications - 40
Citations - 2292
Harman S. Suri is an academic researcher from Brown University. The author has contributed to research in topics: Framingham Risk Score & Risk assessment. The author has an hindex of 23, co-authored 40 publications receiving 1348 citations. Previous affiliations of Harman S. Suri include University of Idaho.
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Journal ArticleDOI
A Review on a Deep Learning Perspective in Brain Cancer Classification
Gopal S. Tandel,Mainak Biswas,Omprakash Kakde,Ashish Tiwari,Harman S. Suri,Monica Turk,John R. Laird,Christopher Kwaku Asare,Annabel A. Ankrah,Narendra N. Khanna,B. K. Madhusudhan,Luca Saba,Jasjit S. Suri +12 more
TL;DR: The relationship between brain cancer and other brain disorders like stroke, Alzheimer's, Parkinson's, and Wilson’s disease, leukoriaosis, and other neurological disorders are highlighted in the context of machine learning and the deep learning paradigm.
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The present and future of deep learning in radiology.
Luca Saba,Mainak Biswas,Venkatanareshbabu Kuppili,Elisa Cuadrado Godia,Harman S. Suri,Damodar Reddy Edla,Tomaž Omerzu,John R. Laird,Narendra N. Khanna,Sophie Mavrogeni,Athanasios Protogerou,Petros P. Sfikakis,Vijay Viswanathan,George D. Kitas,Andrew N. Nicolaides,Ajay Gupta,Jasjit S. Suri +16 more
TL;DR: A comprehensive review of DL as well as its implications upon the healthcare is presented in this review, which had analysed 150 articles of DL in healthcare domain from PubMed, Google Scholar, and IEEE EXPLORE focused in medical imagery only.
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Comparative approaches for classification of diabetes mellitus data
Md. Maniruzzaman,Nishith Kumar,Md. Menhazul Abedin,Md. Shaykhul Islam,Harman S. Suri,Ayman El-Baz,Jasjit S. Suri +6 more
TL;DR: Gaussian process (GP)-based classification technique using three kernels namely: linear, polynomial and radial basis kernel is adapted and investigated in comparison to existing techniques such as LDA, QDA and NB.
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Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies
Elisa Cuadrado-Godia,Pratistha Dwivedi,Sanjiv Sharma,Angel Ois Santiago,Jaume Roquer Gonzalez,Mercedes Balcells,John R. Laird,Monika Turk,Harman S. Suri,Andrew N. Nicolaides,Luca Saba,Narendra N. Khanna,Jasjit S. Suri +12 more
TL;DR: The role of deep machine strategies and other dimensions of cSVD are focused on by linking it with several cerebral and non-cerebral diseases as well as recent advances in the field to achieve sensitive detection, effective prevention and disease management.
Journal ArticleDOI
Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers
Md. Maniruzzaman,Md. Maniruzzaman,Md. Jahanur Rahman,Md. Al-MehediHasan,Harman S. Suri,Md. Menhazul Abedin,Ayman El-Baz,Jasjit S. Suri +7 more
TL;DR: The results demonstrate that on replacing the missing values and outliers by group median and median values, respectively, an accuracy, sensitivity, specificity, positive predictive value, negative predictive value and area under the curve is an improvement of 10% over previously developed techniques published in literature.