Digital Molecular Magnetic Resonance Imaging
This 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 be...
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| Hoofdauteurs: | , |
|---|---|
| Coauteur: | |
| Formaat: | Elektronisch E-boek |
| Taal: | Engels |
| Gepubliceerd in: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Editie: | 1st ed. 2024. |
| Reeks: | Series in BioEngineering,
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| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/978-981-97-6370-2 |
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| 100 | 1 | |a Awojoyogbe, Bamidele O. |e author. |0 (orcid)0000-0003-3699-0897 |1 https://orcid.org/0000-0003-3699-0897 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Digital Molecular Magnetic Resonance Imaging |h [electronic resource] / |c by Bamidele O. Awojoyogbe, Michael O. Dada. |
| 250 | |a 1st ed. 2024. | ||
| 264 | 1 | |a Singapore : |b Springer Nature Singapore : |b Imprint: Springer, |c 2024. | |
| 300 | |a XXV, 348 p. 171 illus., 134 illus. in color. |b online resource. | ||
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| 490 | 1 | |a Series in BioEngineering, |x 2196-887X | |
| 505 | 0 | |a General Introduction -- Physics Informed Neural Networks PINNS -- New Methodology and Modelling In Magnetic Resonance Imaging -- Physics informed Neural Network for Addressing Spatial and Temporal -- Machine Learning Model for Diagnosis of Pulmonary Arterial Hypertension -- A Convolution Neural Network for Artificial Intelligence-Based Classification of Alzheimer’s Diseases -- Physics informed Neural Networks for Nuclear Magnetic Resonance Guided Clinical Hyperthermia. | |
| 520 | |a This 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 650 | 0 | |a Nuclear magnetic resonance. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Cancer |x Imaging. | |
| 650 | 0 | |a Neural networks (Computer science) . | |
| 650 | 0 | |a Biophysics. | |
| 650 | 1 | 4 | |a Magnetic Resonance (NMR, EPR). |
| 650 | 2 | 4 | |a Biomedical Engineering and Bioengineering. |
| 650 | 2 | 4 | |a Machine Learning. |
| 650 | 2 | 4 | |a Cancer Imaging. |
| 650 | 2 | 4 | |a Mathematical Models of Cognitive Processes and Neural Networks. |
| 650 | 2 | 4 | |a Bioanalysis and Bioimaging. |
| 700 | 1 | |a Dada, Michael O. |e author. |0 (orcid)0000-0003-4563-3867 |1 https://orcid.org/0000-0003-4563-3867 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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| 830 | 0 | |a Series in BioEngineering, |x 2196-887X | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-981-97-6370-2 |
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| 950 | |a Physics and Astronomy (SpringerNature-11651) | ||
| 950 | |a Physics and Astronomy (R0) (SpringerNature-43715) | ||