Karthik K
Details of Project associated with:
A Framework for Deep Learning based Analytics for Intelligent Healthcare Applications (SERB Early Career Research Grant, 2017-2020)
Qualifications:
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UG: B.Tech (CSE), VTU Belgaum
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PG: M.Tech (CSE), VTU Belgaum
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PhD (NITK Surathkal)
Supervisor(s):
Area of Interest:
List of publications:
Journal publications
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“A Deep Neural Network Model for Content-Based Medical Image Retrieval with Multi-View Classification“, The Visual Computer Journal (TVCJ), Springer Nature, Volume 37, Issue 7, July 2021. Pages 1837-1850. [SCI & Scopus], Impact Factor - 2.60
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"Swarm Optimization Based Bag of Visual Words Model for Content-Based X-Ray Scan Retrieval“, Intl. Journal of Biomedical Engineering and Technology (IJBET), Inderscience. [ESCI & Scopus], Impact Factor – 1.01
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“Deep Neural Models for Automated Multi- task Diagnostic Scan Management - Quality Enhancement, View Classification and Report Generation“, International Journal of Biomedical Physics and Engineering Express, IOP, Volume 8, Issue 1. Nov 2021. [ESCI & Scopus]. Impact Factor – 1.391
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"Multi-task Deep CNN Models for Learning COVID-19 Disease Representations from Multimodal Data“, Intl. Journal of Medical Engineering and Informatics (IJMEI), Inderscience [Scopus]
Conference publications
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"COVIDDX: AI-based clinical decision support system for learning COVID-19 disease representations from multimodal patient data”, 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021, HEALTHINF 2021, Feb 11-13, 2021, pages 659–666. (CORE Ranked)
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“Automatic Quality Enhancement of Medical Diagnostic Scans with Deep Neural Image Super-Resolution Models“, 15th International Conference on Industrial and Information Systems (ICIIS 2020). IEEE, IIT Ropar (CORE Ranked)
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"A Hybrid Feature Modeling Approach for Content-Based Medical Image Retrieval", 13th IEEE International Conference on Industrial and Information Systems (ICIIS 2018), IIT Ropar, Punjab, Dec 2018. (CORE Ranked).
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“Improving Clinical Diagnosis Performance with Automated X-ray Scan Quality Enhancement Algorithms“, International Conference on Advances in Systems, Control and Computing (AISCC 2020), MNIT Jaipur (Springer).
Invited Book Chapters
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“Automated View Orientation Classification for X-ray images using Deep Neural Networks”, Smart Computational Intelligence in Biomedical and Health Informatics, CRC Press, Taylor & Francis Group, U.K. ISBN: 9781000434378