Advances in Computational Techniques for Biomedical Image Analysis

Deepika Koundal currently serves as a Senior Researcher at the University of Eastern Finland, specializing in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision & Image Processing, and Cyber-Physical Systems. She holds a Ph.D. in Computer Science and Engineering and has received several prestigious accolades, including the MSCA Seal of Excellence from the European Commission. In 2023 and 2024, she was recognized as a top 2% researcher by Stanford University. She has over 13 years of teaching and research experience, having served in various academic roles including at NIT Hamirpur, Chitkara University, and UIET Panjab University. She has earned multiple research excellence awards from UPES and has published numerous research articles, edited notable books, and holds several patents. Furthermore, she contributes as a guest and associate editor for leading journals, including those published by IEEE and Elsevier. Prof. Savita Gupta (SG) is a Professor in the Department of Computer Science and Engineering, University Institute of Engineering and Technology (UIET), Panjab University. She has received her M.E degree from Thapar University and Ph.D. degree in Computer Science and Engineering from the Punjab Technical University, Jalandhar. She has been working in Panjab University for more than 11 years and is currently designated as Director, UIET, Panjab University. She is passionately performing her research activities in the field of Signal and Image Processing, Medical Image Analysis, Wavelets based Signal and Image processing, Artificial Intelligence and Cognitive neuroscience. Her contributions in the field of speckle noise reduction in Ultrasound images is widely acknowledged in the field of biomedical engineering. She has contributed more than 40 research papers in reputed journals and more than 30 conference articles are there to her credit. So far, 5 students have completed their Ph.D. and 9 students are currently pursuing Ph.D under her supervision. She has an h-index of 66 and i10 index of 481.

• SECTION I OVERVIEW1. Computational techniques in biomedical image analysis: overviewSECTION II IMAGE PREPROCESSING AND SEGMENTATION TECHNIQUES2. Multimodal medical image fusion using deep learning3. Medical image fusion framework for neuro brain analysis4. Automated detection of intracranial hemorrhage in noncontrast head computed tomography5. Segmentation techniques for the diagnosis of intervertebral disc diseasesSECTION III MEDICAL IMAGE CLASSIFICATION AND ANALYSIS6. Heartbeat sound classification using Melfrequency cepstral coefficients and deep convolutional neural network7. Comparative analysis of classification techniques for brain magnetic resonance imaging images8. Hybrid feature selection-based feature fusion for liver disease classification on ultrasound imagesSECTION IV BIOMEDICAL IMAGE COMPRESSION AND TRANSMISSION9. Discrete cosine transform10. Segmentation-based compression techniques for medical images11. Systematic survey of compression algorithms in medical imagingSECTION V BIOMEDICAL IMAGE SECURITY12. Multilevel medical image encryption for secure communication13. A modified digital signature algorithm to improve the biomedical image integrity in cloud environment14. Medical imaging security and forensics: a systematic literature review