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Scientific Reports
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March 24, 2022
A novel kernel based approach to arbitrary length symbolic data with application to type 2 diabetes risk
Nnanyelugo Nwegbu, Santosh Tirunagari, David Windridge
Indian Pediatrics
|
May 14, 2023
Machine Learning in Pediatrics: Evaluating Challenges, Opportunities, and Explainability
Yashaswini Balla, Santosh Tirunagari, David Windridge
Indian Pediatrics
|
July 10, 2023
Pediatrics in Artificial Intelligence Era: A Systematic Review on Challenges, Opportunities, and Explainability
Yashaswini Balla, Santosh Tirunagari, David Windridge
Scientific Reports
|
January 6, 2025
A latent diffusion approach to visual attribution in medical imaging
Ammar Adeel Siddiqui, Santosh Tirunagari, Tehseen Zia, et al.
Journal of Biomedical Informatics
|
October 19, 2017
Probabilistic broken-stick model: A regression algorithm for irregularly sampled data with application to eGFR
Norman Poh, Santosh Tirunagari, Nicholas Cole, et al.
Computers in Biology and Medicine
|
October 1, 2023
Visual attribution using Adversarial Latent Transformations
Tehseen Zia, Abdul Wahab, David Windridge, et al.
Scientific Data
|
October 19, 2023
Europe PMC annotated full-text corpus for gene/proteins, diseases and organisms
Xiao Yang, Shyamasree Saha, Aravind Venkatesan, et al.
Machine Vision and Applications
|
February 28, 2020
Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition
Santosh Tirunagari, Norman Poh, Kevin Wells, et al.
Expert Opinion on Drug Discovery
|
April 29, 2025
Natural language processing in drug discovery: bridging the gap between text and therapeutics with artificial intelligence
Christine Ann Withers, Amina Mardiyyah Rufai, Aravind Venkatesan, et al.
Bioinformatics (Oxford, England)
|
March 17, 2025
Lit-OTAR framework for extracting biological evidences from literature
Santosh Tirunagari, Shyamasree Saha, Aravind Venkatesan, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Scientific Reports
|
March 24, 2022
A novel kernel based approach to arbitrary length symbolic data with application to type 2 diabetes risk
Nnanyelugo Nwegbu, Santosh Tirunagari, David Windridge
Indian Pediatrics
|
May 14, 2023
Machine Learning in Pediatrics: Evaluating Challenges, Opportunities, and Explainability
Yashaswini Balla, Santosh Tirunagari, David Windridge
Indian Pediatrics
|
July 10, 2023
Pediatrics in Artificial Intelligence Era: A Systematic Review on Challenges, Opportunities, and Explainability
Yashaswini Balla, Santosh Tirunagari, David Windridge
Scientific Reports
|
January 6, 2025
A latent diffusion approach to visual attribution in medical imaging
Ammar Adeel Siddiqui, Santosh Tirunagari, Tehseen Zia, et al.
Journal of Biomedical Informatics
|
October 19, 2017
Probabilistic broken-stick model: A regression algorithm for irregularly sampled data with application to eGFR
Norman Poh, Santosh Tirunagari, Nicholas Cole, et al.
Computers in Biology and Medicine
|
October 1, 2023
Visual attribution using Adversarial Latent Transformations
Tehseen Zia, Abdul Wahab, David Windridge, et al.
Scientific Data
|
October 19, 2023
Europe PMC annotated full-text corpus for gene/proteins, diseases and organisms
Xiao Yang, Shyamasree Saha, Aravind Venkatesan, et al.
Machine Vision and Applications
|
February 28, 2020
Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition
Santosh Tirunagari, Norman Poh, Kevin Wells, et al.
Expert Opinion on Drug Discovery
|
April 29, 2025
Natural language processing in drug discovery: bridging the gap between text and therapeutics with artificial intelligence
Christine Ann Withers, Amina Mardiyyah Rufai, Aravind Venkatesan, et al.
Bioinformatics (Oxford, England)
|
March 17, 2025
Lit-OTAR framework for extracting biological evidences from literature
Santosh Tirunagari, Shyamasree Saha, Aravind Venkatesan, et al.
Page
of 2