Deepika Koundal

University of Petroleum and Energy Studies

Papers

Total Citations

343

H-Index

About

Deepika Koundal is a leading researcher in the fields of medical image processing, artificial intelligence, and computational diagnostics. Her most influential work, the comprehensive survey "Image Fusion Techniques: A Survey" (2021), has garnered over 340 citations, establishing her as a key voice in synthesizing and advancing multi-modal imaging methodologies. Dr. Koundal’s major contributions lie in developing robust algorithms for image fusion, segmentation, and feature extraction, particularly for enhancing diagnostic accuracy in biomedical applications. Her research bridges the gap between raw imaging data and clinically actionable insights, often leveraging deep learning and soft computing techniques. Beyond her highly cited survey, she has published extensively on thyroid and breast cancer detection, as well as on the integration of IoT with healthcare systems. Recognized for her interdisciplinary approach, Dr. Koundal continues to shape the future of intelligent medical imaging, making her work essential reading for students and researchers in biomedical engineering and computer vision.