Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm Volume 2: Genetics and Clinical Applications | Agenda Bookshop Skip to content
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A01=Jasjit Suri
A01=Sanjay Saxena
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Age Group_Uncategorized
Author_Jasjit Suri
Author_Sanjay Saxena
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Category1=Non-Fiction
Category=MJCL
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COP=United States
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Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm Volume 2: Genetics and Clinical Applications

English

By (author): Jasjit Suri Sanjay Saxena

Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence ParadigmVolume 2: Genetics and Clinical Applications provides readers with a broad and detailed framework for radiomics and radiogenomics (R-n-R) approaches with AI in neuro-oncology. It delves into the study of cancer biology and genomics, presenting methods and techniques for analyzing these elements. The book also highlights current solutions that R-n-R can offer for personalized patient treatments, as well as discusses the limitations and future prospects of AI technologies. Volume 1: Radiogenomics Flow Using Artificial Intelligence covers the genomics and molecular study of brain cancer, medical imaging modalities and their analysis in neuro-oncology, and the development of prognostic and predictive models using radiomics. Volume 2: Genetics and Clinical Applications extends the discussion to imaging signatures that correlate with molecular characteristics of brain cancer, clinical applications of R-n-R in neuro-oncology, and the use of Machine Learning and Deep Learning approaches for R-n-R in neuro-oncology. See more
Current price €179.54
Original price €188.99
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A01=Jasjit SuriA01=Sanjay SaxenaAge Group_UncategorizedAuthor_Jasjit SuriAuthor_Sanjay Saxenaautomatic-updateCategory1=Non-FictionCategory=MJCLCategory=MJNCategory=PSANCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 01 Nov 2024

Product Details
  • Weight: 450g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Nov 2024
  • Publisher: Elsevier Science Publishing Co Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780443185090

About Jasjit SuriSanjay Saxena

Dr. Sanjay Saxena is an Assistant Professor in the Department of Computer Science and Engineering at IIIT Bhubaneswar India. He obtained his Ph.D. from the Indian Institute of Technology (BHU) Varanasi and completed his postdoctoral research at the Artificial Intelligence in Biomedical Imaging Lab University of Pennsylvania USA. Dr. Saxena's primary research area involves developing AI-based methods for brain cancer analysis with a broader focus on Data Science Machine Learning Deep Learning and the emerging fields of Radiomics and Radiogenomics. His tenure under Prof. Davatzikos at the University of Pennsylvania was instrumental in his significant learning about Radiomics/Radiogenomics. Dr. Saxena is a member of prestigious organisations such as IEEE the Society of Neuro-Oncology ACM and the New York Academy of Science. He has presented his work at globally recognised universities such as like Imperial College London Stony Brook University and Vienna University of Technology. and has made substantial scholarly contributions with several peer-reviewed Journals conference publications book chapters and two books to his name advancing the intersection of AI and human cancer research. Dr. Jasjit Suri PhD MBA is an innovator visionary scientist and internationally known world leader. Dr Suri received the Director Generals Gold medal in 1980 and Fellow of (i) American Institute of Medical and Biological Engineering awarded by the National Academy of Sciences Washington DC (ii) Institute of Electrical and Electronics Engineers (iii) American Institute of Ultrasound in Medicine (iv) Society of Vascular Medicine (v) Asia Pacific Vascular Society and (vi) Asia Association of Artificial Intelligence. Dr. Suri was honored with life time achievement awards by Marcus NJ USA and Graphics Era University Dehradun India. He has published nearly 300 peer-reviewed Artificial Intelligence articles nearly 2000 Google Scholar Publications 100 books and 100 innovations/trademarks leading to an H-index of nearly 100 with about 43000 citations. He has held positions as chairman of AtheroPoint CA USA IEEE Denver section Colorado USA and advisory board member to healthcare industries and several universities in the United States of America and abroad.

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