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Digital molecular magnetic resonance...

Awojoyogbe, Bamidele O.

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Digital molecular magnetic resonance imaging

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital molecular magnetic resonance imaging/ by Bamidele O. Awojoyogbe, Michael O. Dada.
Author:	Awojoyogbe, Bamidele O.
other author:	Dada, Michael O.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xxv, 348 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Magnetic resonance imaging. -
Online resource:	https://doi.org/10.1007/978-981-97-6370-2
ISBN:	9789819763702

Digital molecular magnetic resonance imaging
Awojoyogbe, Bamidele O.

Digital molecular magnetic resonance imaging[electronic resource] /by Bamidele O. Awojoyogbe, Michael O. Dada. - Singapore :Springer Nature Singapore :2024. - xxv, 348 p. :ill. (chiefly col.), digital ;24 cm. - Series in bioengineering,2196-887X. - Series in bioengineering..

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.

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.

ISBN: 9789819763702

Standard No.: 10.1007/978-981-97-6370-2doiSubjects--Topical Terms:

554355
Magnetic resonance imaging.

LC Class. No.: RC78.7.N83

Dewey Class. No.: 616.07548

Digital molecular magnetic resonance imaging
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300 $a xxv, 348 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
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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.
650 0 $a Magnetic resonance imaging. $3 554355
650 1 4 $a Magnetic Resonance (NMR, EPR) $3 3594461
650 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Cancer Imaging. $3 900314
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 1619875
650 2 4 $a Bioanalysis and Bioimaging. $3 3596638
700 1 $a Dada, Michael O. $3 3501512
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950 $a Physics and Astronomy (SpringerNature-11651)