Innovation in Medical Image Analysis through Artificial Intelligence, 1st ed. 2024
Research Paper Competition (RPC – 2021)

Coordinators: Shaikh Khalid, Thanki Rohit M., Krishnan Sabitha, Awan Mamona

Language: English

232.09 €

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· 15.5x23.5 cm · Hardback

This book presents finalists and winners of a research paper competition organized by Prognica Labs Tech Fzco and Dubai Technology Entrepreneur Centre (DTEC), an event held at DTEC, Dubai, UAE on 14th January, 2021. The book comprises contributions by research scholars, practitioners, students, and academics covering topics medical image analysis and how it is affected and advanced by artificial intelligence, computer vision, biomedical engineering, public healthcare services. The papers cover discussion, research, experiments, and application into the various topics. The book is useful for the research community, academicians, industrialists, and post graduate students. 

Introduction.- Artificial Intelligence.- Computer Vision.- Image Processing & Image Analysis.- Medical Science and Life Science.- Biomedical Engineering.- Conclusion.

Khalid Shaikh is a serial entrepreneur, a technocrat, and a business strategist. He is the founder and CEO of Prognica Labs, an Artificial Intelligence powered health-tech start-up, and Affaan Technologies, an AI Consulting and Development Company. He is a computer engineer and has a solid record of more than 20 years of high-level performance in the healthcare and finance industries. In addition to his professional commitments, he also gives back to the aspiring entrepreneur community by serving as an advisor and mentor.

 

Dr. Rohit Thanki is a computer vision expert and AI researcher with more than 5 years of work experience in areas of computer vision, medical image analysis & security, artificial intelligence and biometrics including 2 years of academic experience in various engineering institutions in India. Presently, he is working as a research & development director, Prognica Labs Tech FZCO, Dubai, UAE.  He earned his bachelor’s in electronics & communication, master’s in communication engineering and a doctorate degree in electronics & communication with a specialization in digital image processing and biometric security. His areas of research interest are medical image analysis, artificial intelligence, machine learning, deep learning, digital watermarking, biometric security, compressive sensing, and signal processing. He has more than 40 publications in his credit and has published in reputed journals with high impact factor and international conferences indexing in Scopus / SCIE / WOS. Also, He has authored and contributed more than 20 books with reputed publishers, i.e., Springer, CRC press, Elsevier, De Gruyter, and IGI Global. He has been invited as reviewer in various reputed journals such as ACM Transactions on Multimedia Computing, Communications and Applications, IEEE Consumer Electronics Magazine, IEEE Access, IEEE Journal of Biomedical and Health Informatics, Signal Processing: Image Communication, Pattern Recognition, C

Presents finalists and winners of a research paper competition organized by Prognica Labs Tech Fzco and DTEC

Presents latest ideas and techniques in the field of medical image analysis

Explore future trends in intelligent medical image processing and upcoming products