Molecular Imaging Computer Reconstruction And Practice

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Molecular Imaging: Computer Reconstruction and Practice

Author : Yves Lemoigne
Publisher : Springer Science & Business Media
ISBN 13 : 1402087527
Total Pages : 296 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Molecular Imaging: Computer Reconstruction and Practice by : Yves Lemoigne

Download or read book Molecular Imaging: Computer Reconstruction and Practice written by Yves Lemoigne and published by Springer Science & Business Media. This book was released on 2008-09-02 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports the majority of lectures given during the NATO Advanced Study Institute ASI-982440, which was held at the European Scienti?c Institute of Archamps (ESI, Archamps – France) from November 9 to November 21, 2006. The ASI course was structured in two parts, the ?rst was dedicated to individual imaging techniques while the second is the object of this volume and focused on data modelling and processing and on image archiving and distribution. Courses devoted to nuclear medicine and digital imaging techniques are collected in a c- plementary volume of NATO Science Series entitled “Physics for Medical Imaging Applications” (ISBN 978-1-4020-5650-5). Every year in autumn ESI organises the European School of Medical Physics, which covers a large spectrum of topics ranging from Medical Imaging to Rad- therapy, over a period of ?ve weeks. Thanks to the Cooperative Science and Te- nology sub-programme of the NATO Science Division, weeks two and three were replaced this year by the ASI course dedicated to “Molecular Imaging from Physical Principles to Computer Reconstruction and Practice”. This allowed the participation ofexpertsandstudentsfrom20differentcountries,withdiverseculturalbackground and professional experience (Africa, America, Asia, and Europe). A further positive outcome of NATO ASI participation is the publication of this book, which contains the lectures series contributed by speakers during the second week of the ASI.

Molecular Imaging: Computer Reconstruction and Practice

Author : Yves Lemoigne
Publisher : Springer
ISBN 13 : 9781402087523
Total Pages : 0 pages
Book Rating : 4.0/5 (875 download)

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Book Synopsis Molecular Imaging: Computer Reconstruction and Practice by : Yves Lemoigne

Download or read book Molecular Imaging: Computer Reconstruction and Practice written by Yves Lemoigne and published by Springer. This book was released on 2008-09-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports the majority of lectures given during the NATO Advanced Study Institute ASI-982440, which was held at the European Scienti?c Institute of Archamps (ESI, Archamps – France) from November 9 to November 21, 2006. The ASI course was structured in two parts, the ?rst was dedicated to individual imaging techniques while the second is the object of this volume and focused on data modelling and processing and on image archiving and distribution. Courses devoted to nuclear medicine and digital imaging techniques are collected in a c- plementary volume of NATO Science Series entitled “Physics for Medical Imaging Applications” (ISBN 978-1-4020-5650-5). Every year in autumn ESI organises the European School of Medical Physics, which covers a large spectrum of topics ranging from Medical Imaging to Rad- therapy, over a period of ?ve weeks. Thanks to the Cooperative Science and Te- nology sub-programme of the NATO Science Division, weeks two and three were replaced this year by the ASI course dedicated to “Molecular Imaging from Physical Principles to Computer Reconstruction and Practice”. This allowed the participation ofexpertsandstudentsfrom20differentcountries,withdiverseculturalbackground and professional experience (Africa, America, Asia, and Europe). A further positive outcome of NATO ASI participation is the publication of this book, which contains the lectures series contributed by speakers during the second week of the ASI.

Computational Methods in Molecular Imaging Technologies

Author : Vinit Kumar Gunjan
Publisher : Springer
ISBN 13 : 9811046360
Total Pages : 86 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Computational Methods in Molecular Imaging Technologies by : Vinit Kumar Gunjan

Download or read book Computational Methods in Molecular Imaging Technologies written by Vinit Kumar Gunjan and published by Springer. This book was released on 2017-07-04 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the experimental investigations that have been carried out on magnetic resonance imaging and computed tomography (MRI & CT) images using state-of-the-art Computational Image processing techniques, and tabulates the statistical values wherever necessary. In a very simple and straightforward way, it explains how image processing methods are used to improve the quality of medical images and facilitate analysis. It offers a valuable resource for researchers, engineers, medical doctors and bioinformatics experts alike.

Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment

Author : M. Jorge Cardoso
Publisher : Springer
ISBN 13 : 3319675648
Total Pages : 196 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment by : M. Jorge Cardoso

Download or read book Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment written by M. Jorge Cardoso and published by Springer. This book was released on 2017-09-06 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the International Workshop on Computational Methods for Molecular Imaging, CMMI 2017, the International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017, and the International Stroke Workshop: Imaging and Treatment Challenges, SWITCH 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 5 full papers presented at FIFI 2017, the 9 full papers presented at RAMBO 2017, and the 4 full papers presented at SWITCH 2017 were carefully reviewed and selected. The CMMI papers cover various areas from image synthesis to data analysis and from clinical diagnosis to therapy individualization, using molecular imaging modalities PET, SPECT, PET/CT, SPECT/CT, and PET/MR. The RAMBO papers present research from both academia and industry, They are organized into the categories "registration and tracking" and "image reconstruction and information retrieval" while application areas include cardiac, pulmonal, abdominal, fetal, and renal imaging. The SWITCH papers focus on CT(A)-based quantitative imaging biomarkers for stroke.

Computational Methods for Molecular Imaging

Author : Fei Gao
Publisher : Springer
ISBN 13 : 3319184318
Total Pages : 203 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Computational Methods for Molecular Imaging by : Fei Gao

Download or read book Computational Methods for Molecular Imaging written by Fei Gao and published by Springer. This book was released on 2015-06-11 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains original submissions on the development and application of molecular imaging computing. The editors invited authors to submit high-quality contributions on a wide range of topics including, but not limited to: • Image Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and other Molecular Imaging Modalities • Molecular Imaging Enhancement • Data Analysis of Clinical & Pre-clinical Molecular Imaging • Multi-Modal Image Processing (PET/CT, PET/MR, SPECT/CT, etc.) • Machine Learning and Data Mining in Molecular Imaging. Molecular imaging is an evolving clinical and research discipline enabling the visualization, characterization and quantification of biological processes taking place at the cellular and subcellular levels within intact living subjects. Computational methods play an important role in the development of molecular imaging, from image synthesis to data analysis and from clinical diagnosis to therapy individualization. This work will bring readers from academia and industry up to date on the most recent developments in this field.

Machine Learning in Medical Imaging

Author : Xiaohuan Cao
Publisher : Springer Nature
ISBN 13 : 3031456769
Total Pages : 501 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Machine Learning in Medical Imaging by : Xiaohuan Cao

Download or read book Machine Learning in Medical Imaging written by Xiaohuan Cao and published by Springer Nature. This book was released on 2023-10-14 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 14348 and 14139 constitutes the proceedings of the 14th International Workshop on Machine Learning in Medical Imaging, MLMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023. The 93 full papers presented in the proceedings were carefully reviewed and selected from 139 submissions. They focus on major trends and challenges in artificial intelligence and machine learning in the medical imaging field, translating medical imaging research into clinical practice. Topics of interests included deep learning, generative adversarial learning, ensemble learning, transfer learning, multi-task learning, manifold learning, reinforcement learning, along with their applications to medical image analysis, computer-aided diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.

Radiotherapy and Brachytherapy

Author : Yves Lemoigne
Publisher : Springer
ISBN 13 : 9048130972
Total Pages : 256 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Radiotherapy and Brachytherapy by : Yves Lemoigne

Download or read book Radiotherapy and Brachytherapy written by Yves Lemoigne and published by Springer. This book was released on 2009-08-14 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports the majority of lectures given during the NATO Advanced Study Institute ASI-982996, which was held at the European Scientific Institute of Archamps (ESI, Archamps – France) from November 15 to November 27, 2007. The ASI course was structured in two parts: the first was dedicated to what is often called “teletherapy”, i. e. radiotherapy with external beams, while the second focused on internal radiotherapy, also called “brachytherapy” or “curietherapy” in honour of Madame Curie who initiated the technique about a century ago. This ASI took place after the European School of Medical Physics, which devoted a 3 week period to medical imaging, a subject complementary to the topics of this book. Courses devoted to nuclear medicine and digital imaging techniques are collected in two volumes of the NATO Science Series entitled “Physics for Medical Imaging Applications” (ISBN 978-1-4020-5650-5) and “Molecular imaging: computer reconstruction and practice” (ISBN 978-1-4020- 8751-6). Every year in autumn ESI organises the European School of Medical Physics, which covers a large spectrum of topics ranging from Medical Imaging to Radiotherapy, over a period of 5 weeks. Thanks to the Cooperative Science and Technology sub-programme of the NATO Science Division, weeks four and five were replaced this year by the ASI course dedicated to “Physics of Modern Radiotherapy & Brachytherapy”. This allowed the participation of experts and students from 20 different countries, with diverse cultural background and p- fessional experience.

Machine Learning in Medical Imaging

Author : Xiaohuan Cao
Publisher : Springer Nature
ISBN 13 : 3031456734
Total Pages : 499 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Machine Learning in Medical Imaging by : Xiaohuan Cao

Download or read book Machine Learning in Medical Imaging written by Xiaohuan Cao and published by Springer Nature. This book was released on 2023-10-14 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 14348 and 14139 constitutes the proceedings of the 14th International Workshop on Machine Learning in Medical Imaging, MLMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023. The 93 full papers presented in the proceedings were carefully reviewed and selected from 139 submissions. They focus on major trends and challenges in artificial intelligence and machine learning in the medical imaging field, translating medical imaging research into clinical practice. Topics of interests included deep learning, generative adversarial learning, ensemble learning, transfer learning, multi-task learning, manifold learning, reinforcement learning, along with their applications to medical image analysis, computer-aided diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.

Machine Learning for Medical Image Reconstruction

Author : Nandinee Haq
Publisher : Springer Nature
ISBN 13 : 3031172477
Total Pages : 162 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Machine Learning for Medical Image Reconstruction by : Nandinee Haq

Download or read book Machine Learning for Medical Image Reconstruction written by Nandinee Haq and published by Springer Nature. This book was released on 2022-09-22 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2022, held in conjunction with MICCAI 2022, in September 2022, held in Singapore. The 15 papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

Molecular Imaging II

Author : Wolfhard Semmler
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (2 download)

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Book Synopsis Molecular Imaging II by : Wolfhard Semmler

Download or read book Molecular Imaging II written by Wolfhard Semmler and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning for Medical Image Reconstruction

Author : Farah Deeba
Publisher : Springer Nature
ISBN 13 : 3030615987
Total Pages : 170 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Machine Learning for Medical Image Reconstruction by : Farah Deeba

Download or read book Machine Learning for Medical Image Reconstruction written by Farah Deeba and published by Springer Nature. This book was released on 2020-10-21 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually. The 15 papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

Future Trends and Challenges of Molecular Imaging and AI Innovation

Author : Kang-Ping Lin
Publisher : Springer Nature
ISBN 13 : 3030927865
Total Pages : 96 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Future Trends and Challenges of Molecular Imaging and AI Innovation by : Kang-Ping Lin

Download or read book Future Trends and Challenges of Molecular Imaging and AI Innovation written by Kang-Ping Lin and published by Springer Nature. This book was released on 2022-02-22 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volumes presents the proceedings of the FASMI 2020 conference, held at Taipei Veterans General Hospital on November 20-22, 2020. It presents contributions on all aspects of molecular imaging, discovered by leading academic scientists and researchers. It also provides a premier interdisciplinary treatment of recent innovations, trend, and concerns as well as practical challenges and solutions in Molecular Imaging and put an emphasis on Artificial Intelligence applied to Imaging Data. FASMI is the annual meeting of the Federation of Asian Societies for Molecular Imaging

Deep Learning for Biomedical Image Reconstruction

Author : Jong Chul Ye
Publisher : Cambridge University Press
ISBN 13 : 1009051024
Total Pages : 366 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Deep Learning for Biomedical Image Reconstruction by : Jong Chul Ye

Download or read book Deep Learning for Biomedical Image Reconstruction written by Jong Chul Ye and published by Cambridge University Press. This book was released on 2023-09-30 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications. Including interdisciplinary examples and a step-by-step background of deep learning, this book provides insight into the future of biomedical image reconstruction with clinical studies and mathematical theory.

Machine Learning for Medical Image Reconstruction

Author : Florian Knoll
Publisher : Springer Nature
ISBN 13 : 3030338436
Total Pages : 274 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Machine Learning for Medical Image Reconstruction by : Florian Knoll

Download or read book Machine Learning for Medical Image Reconstruction written by Florian Knoll and published by Springer Nature. This book was released on 2019-10-24 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 24 full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography; and deep learning for general image reconstruction.

Molecular Imaging

Author : Ralph Weissleder
Publisher : PMPH-USA
ISBN 13 : 9781607950059
Total Pages : 1384 pages
Book Rating : 4.9/5 (5 download)

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Book Synopsis Molecular Imaging by : Ralph Weissleder

Download or read book Molecular Imaging written by Ralph Weissleder and published by PMPH-USA. This book was released on 2010 with total page 1384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of molecular imaging of living subjects have evolved considerably and have seen spectacular advances in chemistry, engineering and biomedical applications. This textbook was designed to fill the need for an authoritative source for this multi-disciplinary field. We have been fortunate to recruit over 80 leading authors contributing 75 individual chapters. Given the multidisciplinary nature of the field, the book is broken into six different sections: "Molecular Imaging technologies", "Chemistry", "Molecular Imaging in Cell and Molecular Biology", "Applications of Molecular Imaging", "Molecular Imaging in Drug Evaluation" with the final section comprised of chapters on computation, bioinformatics and modeling. The organization of this large amount of information is logical and strives to avoid redundancies among chapters. It encourages the use of figures to illustrate concepts and to provide numerous molecular imaging examples.

Radiomics and Its Clinical Application

Author : Jie Tian
Publisher : Academic Press
ISBN 13 : 0128181028
Total Pages : 302 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Radiomics and Its Clinical Application by : Jie Tian

Download or read book Radiomics and Its Clinical Application written by Jie Tian and published by Academic Press. This book was released on 2021-06-03 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting. This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice. An introduction to the concepts of radiomics In-depth presentation of the core technologies and methods Summary of current radiomics research, perspective on the future of radiomics and the challenges ahead An introduction to several platforms that are planned to be built: cooperation, data sharing, software, and application platforms

Machine Learning for Medical Image Reconstruction

Author : Florian Knoll
Publisher : Springer
ISBN 13 : 3030001296
Total Pages : 161 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Machine Learning for Medical Image Reconstruction by : Florian Knoll

Download or read book Machine Learning for Medical Image Reconstruction written by Florian Knoll and published by Springer. This book was released on 2018-09-11 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction.