
Explainable Artificial Intelligence for Biomedical Applications
Description
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This book provides an essential edited work regarding the latest advancements in explainable artificial intelligence (XAI) for biomedical applications. It includes not only introductive perspectives but also applied touches and discussions regarding critical problems as well as future insights.
Topics discussed in the book include:
XAI for the applications with medical images
XAI use cases for alternative medical data/task
Different XAI methods for biomedical applications
Reviews for the XAI research for critical biomedical problems.
Explainable Artificial Intelligence for Biomedical Applications is ideal for academicians, researchers, students, engineers, and experts from the fields of computer science, biomedical, medical, and health sciences. It also welcomes all readers of different fields to be informed about use cases of XAI in black-box artificial intelligence. In this sense, the book can be used for both teaching and reference source purposes.
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Persons
Dr. Deepak Gupta received his B.Tech. degree in 2006 from the Guru Gobind Singh Indraprastha University, Delhi, India. He received an M.E. degree in 2010 from Delhi Technological University, India, and Ph.D. degree in 2017 from Dr. APJ Abdul Kalam Technical University (AKTU), Lucknow, India. He completed his post-doc at the National Institute of Telecommunications (Inatel), Brazil, in 2018. He has co-authored more than 207 journal articles, including 168 SCI papers and 45 conference articles. He has authored/edited 60 books, published by IEEE-Wiley, Elsevier, Springer, Wiley, CRC Press, DeGruyter, and Katsons. He has filled four Indian patents. He is the convener of the ICICC, ICDAM, ICCCN, ICIIP & DoSCI Springer conferences series, and is Associate Editor of Computer & Electrical Engineering, Expert Systems, Alexandria Engineering Journal, Intelligent Decision Technologies. He is also a series editor of ""Elsevier Biomedical Engineering"" at Academic Press, Elsevier, ""Intelligent Biomedical Data Analysis"" at De Gruyter, Germany, and ""Explainable AI (XAI) for Engineering Applications"" at CRC Press. He is also serving as a startup consultant.
Dr. Xi Chen received his Ph.D. degree in 2019 from University of Kentucky, USA in the field of bioinformatics. Between 2013 and 2019, he worked as a graduate research assistant in the Department of Biochemistry, University of Kentucky. He was also a Research Collaborator at the Department of Statistics, University of Kentucky, USA, between 2017 and 2019. He was University Ambassador/Deep Learning Institute (DLI) Certified Instructor at the Nvidia Deep Learning Institute between 2018 and 2021. In 2019, he worked as a Data Scientist & Machine Learning Engineer for Verb Surgical, USA. Following to that, he was a Computational Biologist/ML Engineer Lead at Juvena Therapeutics, USA (2019-2021). Currently, he is working as a Senior Software Engineer (ML Data Foundation) at Meta, USA. His research interests include artificial intelligence, machine/deep learning, biomedical, genomics, data science, and image processing.
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