1. “A Deep Neural Network Model for Content-Based Medical Image Retrieval with Multi-View Classification“, The Visual Computer Journal (TVCJ), Springer Nature. [SCI & Scopus] 
2. "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]
3. "Multi-task Deep CNN Models for Learning COVID-19 Disease Representations from Multimodal Data“, Intl. Journal of Medical Engineering and Informatics (IJMEI), Inderscience [Scopus]  (to appear)

1. "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)
2. “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) 
3. "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).
4. “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). [to appear]

Invited Book Chapters

1. Karthik K and Sowmya Kamath S, “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