Proceedings of the International School on Magnetic Resonance and Brain Function - XIII Workshop PDF Download
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Author: Itamar Ronen
Publisher: Frontiers Media SA
ISBN: 2889711994
Category : Science
Languages : en
Pages : 212
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Book Description
Author: Itamar Ronen
Publisher: Frontiers Media SA
ISBN: 2889711994
Category : Science
Languages : en
Pages : 212
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Book Description
Author: Federico Giove
Publisher: Frontiers Media SA
ISBN: 2889455548
Category :
Languages : en
Pages : 150
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Book Description
In the last thirty years, Magnetic Resonance has generated a wide revolution in biomedical research and in medical imaging in general. More recently, the "in vivo" studies of the human brain were extended by new original ways to the dynamic study of function and metabolism of the human brain. The enormous interest in expanding the investigation of the brain is emphasizing the search for new NMR methods capable of extracting information of so-far obscure aspects of the brain function. In fact, many quantitative approaches have been proposed in order to complement the information obtained by functional MRI, and several multimodal and multiparametric approaches have been developed to exploit the information, either functional or structural, made available by the flexible contrast generation typical of MRI, and to combine it with complementary information. The XII workshop of the International School on Magnetic Resonanceand Brain Function, held in Erice between 17 April and 6 May, 2016, was specially devoted to novel approaches aimed at better structural characterization of brain diseases, and at investigating frontiers MRI approaches to better understand the brain function. The papers included in this eBook offer a broad overview of the subjects covered during the Workshop, including applications of multiparametric MRI to neurological diseases, multimodal combination of MRI with electrophysiology, advanced methods for the investigation of brain networks and of brain physiology, and perspectives towards brain state reading.
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1028
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Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1068
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Book Description
First multi-year cumulation covers six years: 1965-70.
Author:
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 384
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Book Description
Author: Salam Salloum-Asfar
Publisher: Frontiers Media SA
ISBN: 2832529941
Category : Science
Languages : en
Pages : 255
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Book Description
Author: British Library. Document Supply Centre
Publisher:
ISBN:
Category : Congresses and conventions
Languages : en
Pages : 988
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Book Description
Author: Ed Bowker Staff
Publisher: R. R. Bowker
ISBN: 9780835246422
Category : Reference
Languages : en
Pages : 3274
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Book Description
Author: Ninon Burgos
Publisher: Springer Nature
ISBN: 3030327787
Category : Computers
Languages : en
Pages : 172
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Book Description
This book constitutes the refereed proceedings of the 4th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 16 full papers presented were carefully reviewed and selected from 21 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, image super resolution, and several applications of image synthesis and simulation for data augmentation, segmentation or lesion detection.
Author: Chunfeng Lian
Publisher: Springer Nature
ISBN: 303121014X
Category : Computers
Languages : en
Pages : 491
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Book Description
This book constitutes the proceedings of the 13th International Workshop on Machine Learning in Medical Imaging, MLMI 2022, held in conjunction with MICCAI 2022, in Singapore, in September 2022. The 48 full papers presented in this volume were carefully reviewed and selected from 64 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.
