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Deep Learning for Diffusion Tensor Imaging Estimation: Unlocking Sparse Diffusion MRI by Abhishek Tiwari at Abbey's Bookshop,
Deep Learning for Diffusion Tensor Imaging Estimation: Unlocking Sparse Diffusion MRI
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Abhishek Tiwari

Deep Learning for Diffusion Tensor Imaging Estimation

Unlocking Sparse Diffusion MRI

Abhishek Tiwari

$105.95   $84.90

Paperback

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English
Eliva Press
07 November 2025
Technology: general issues
Deep Learning for Diffusion Tensor Imaging Estimation: Unlocking Sparse Diffusion MRI Mental health and neurological disorders are on the rise globally, yet timely diagnosis remains a challenge due to high costs, long scan durations, and limited imaging accessibility. This book presents a breakthrough in neuroimaging by harnessing cutting-edge deep learning technologies-Transformers and Convolutional Neural Networks-to revolutionize how sparse diffusion MRI data is processed and analyzed. Dr. Abhishek Tiwari introduces SwinDTI, an innovative framework that dramatically improves the estimation of diffusion tensor imaging (DTI) parameters using minimal data, significantly reducing scan times while preserving clinical accuracy. This pioneering work empowers clinicians and researchers to extract meaningful insights from limited imaging resources, making it a powerful tool for early diagnosis of neurodegenerative diseases such as Alzheimer's and Frontotemporal Dementia. Drawing on extensive experimentation with benchmark datasets like HCP, ADNI, NIFD, and MICCAI Quad22, this book offers a roadmap for future-ready neuroimaging solutions. It bridges the gap between artificial intelligence and healthcare, providing scalable, explainable, and efficient tools for modern medical practice. Whether you're a researcher, clinician, or technologist, this book offers deep insights into the synergy between neuroscience and AI-unlocking new possibilities in brain connectivity mapping and precision diagnostics. """"A transformative step toward democratizing advanced neuroimaging using deep learning.""""
By:  
Imprint:   Eliva Press
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 6mm
Weight:   159g
ISBN:   9789999327770
ISBN 10:   999932777X
Pages:   110
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

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