Advances in Deep Generative Models for Healthcare and Medical Applications

Preface

1. Introduction To Deep Generative Models

S. Poonkodi, V. Kavitha, K. Suresh, Raja Rajakani

2. A Deep Dive into Generative Model Types beyond Imagination

Joel Livin A, Ashwini A, Balasubramaniam S

3. A New Wave of Generative Flow Networks in Streaming Healthcare with Artificial Intelligence

Ashwini A, Kavitha V, Balasubramaniam S, Seifedine Kadry

4. Diffusion Models for Medical Applications

Abinaya M, Vadivu G, Sundaravadivazhagan B

5. Modeling Disease Progression with Generative Time Series Models: A New Approach to Complex Disease Trajectories

B Abisha, V Sheeja Kumari, V Suresh Kumar, Wilfred Blessing N.R

6. Advancing Synthetic EEG Signal Generation for Biomedical Research: A Diffusion Model Approach

Shaik Khaja Mohiddin, Shaik Sharmila, Syed Ziaur Rahman, B. Balaji Bhanu

7. Leveraging Semi-Supervised Diffusion Models for Accurate Brain Age Prediction

Alphonsa J, Sheeja Kumari V, Wilfred Blessing N.R

8. The Precision Edge of Deep Generative Models for Enhanced Differential Diagnosis

G Preemi, Ashwini A, Balasubramaniam S, Seifedine Kadry

9. AI-Driven Implantable Medical Devices Using Deep Generative Models

Suresh Kumar V, Alphonsa J, Abisha B, Andrew Xavier Raj

10. Deep Generative AI-Based Multimodal Biometric Authentication System for Enhanced Security and Accessibility in Healthcare Applications

Vijay M, Nagaraj P, Sundareswaran N, Christopher S.R.B.

11. Deep Generative Models for Alzheimer’s Disease Diagnosis

Mathivanan P, Mohanapriya D, Priyatharsini S, Gowrisanker M

12. Regulating Deep Generative Models: Ethical and Legal Considerations for Healthcare AI

Shashwata Sahu, Navonita Mallick, Imran Hossain

13. Research Challenges in Deep Generative Models for Healthcare and Medical Applications

Himanshu Kumar, Aruldoss Martin, Martin Wynn, Miranda Lakshmi

Biography

Balasubramaniam S (IEEE Senior Member) is an Assistant Professor in Kerala University of Digital Sciences, Innovation and Technology (Formerly IIITM-K), Digital University Kerala, Thiruvananthapuram, India. Before joining Digital University Kerala, he was a Senior Associate Professor at the School of Computer Science and Engineering at the Vellore Institute of Technology (VIT), Chennai, India. He has around 15+ years of experience in teaching, research and industry. He has completed his postdoctoral research in the Department of Applied Data Science, Noroff University College, Kristiansand, Norway. He has a PhD in Computer Science and Engineering from Anna University, Chennai, India in 2015 and has published 25+ research papers in reputed SCI/WoS/Scopus indexed journals. He has also been granted 1 Australian patent and 2 Indian Patents and published 2 Indian patents. He has presented papers at conferences, contributed to and edited books published by global publishers. His research and publication interests include machine learning, deep and federated learning-based disease diagnosis, cloud computing security, Generative AI, and electric vehicles.

Seifedine Kadry has a bachelor's degree in 1999 from Lebanese University, MS degree in 2002 from Reims University, France and EPFL, Lausanne, Switzerland, PhD in 2007 from Blaise Pascal University, France, HDR degree in 2017 from Rouen University, France. At present his research focuses on data science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a full professor of data science at Noroff University College, Norway and Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.