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 #  AuthorTitleAccn#YearItem Type Claims
1 Awojoyogbe, Bamidele O Digital Molecular Magnetic Resonance Imaging I13129 2024 eBook  
2 Dada, Michael O Computational Molecular Magnetic Resonance Imaging for Neuro-oncology I11773 2021 eBook  
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TitleDigital Molecular Magnetic Resonance Imaging
Author(s)Awojoyogbe, Bamidele O;Dada, Michael O
PublicationSingapore, 1. Imprint: Springer 2. Springer Nature Singapore, 2024.
DescriptionXXV, 348 p. 171 illus., 134 illus. in color : online resource
Abstract NoteThis book pushes the limits of conventional MRI visualization methods by completely changing the medical imaging landscape and leads to innovations that will help patients and healthcare providers alike. It enhances the capabilities of MRI anatomical visualization to a level that has never before been possible for researchers and clinicians. The computational and digital algorithms developed can enable a more thorough understanding of the intricate structures found within the human body, surpassing the constraints of traditional 2D methods. The Physics-informed Neural Networks as presented can enhance three-dimensional rendering for deeper understanding of the spatial relationships and subtle abnormalities of anatomical features and sets the stage for upcoming advancements that could impact a wider range of digital heath modalities. This book opens the door to ultra-powerful digital molecular MRI powered by quantum computing that can perform calculations that would take supercomputers millions of years
ISBN,Price9789819763702
Keyword(s)1. Bioanalysis and Bioimaging 2. Biomedical engineering 3. Biomedical Engineering and Bioengineering 4. BIOPHYSICS 5. CANCER 6. Cancer Imaging 7. EBOOK 8. EBOOK - SPRINGER 9. MACHINE LEARNING 10. Magnetic Resonance (NMR, EPR) 11. Mathematical Models of Cognitive Processes and Neural Networks 12. Neural networks (Computer science)?? 13. NUCLEAR MAGNETIC RESONANCE
Item TypeeBook
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Accession#  Call#StatusIssued ToReturn Due On Physical Location
I13129     On Shelf    

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TitleComputational Molecular Magnetic Resonance Imaging for Neuro-oncology
Author(s)Dada, Michael O;Awojoyogbe, Bamidele O
PublicationCham, Springer International Publishing, 2021.
DescriptionXXXI, 389 p. 117 illus., 109 illus. in color : online resource
Abstract NoteBased on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medial personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic Resonance Imaging for medical diagnosis, prognosis, therapy and management of tissue diseases
ISBN,Price9783030767280
Keyword(s)1. Applications of Mathematics 2. BIOPHYSICS 3. Cancer Imaging 4. Cancer???Imaging 5. EBOOK 6. EBOOK - SPRINGER 7. Magnetic Resonance (NMR, EPR) 8. MATHEMATICS 9. Neurology 10. Neurology?? 11. NUCLEAR MAGNETIC RESONANCE 12. ONCOLOGY
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I11773     On Shelf    

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