Jun Deng Lei Xing (41 results)

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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paperback. Condition: New. Paperback Pages Number: 94 Language: Chinese. Fine us three eight-arm style. clean text. high-quality printing. so classic to be eternal. Us three eight-arm is published by the Chinese original animation synthesizer for endless reading will give young readers to enjoy. This book is one of the series. focuses Conquers the story. …

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Paperback. Condition: Brand New. 311 pages. 10.00x7.01x1.14 inches. In Stock.

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Hardcover. Condition: new. Hardcover. Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy. Covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas. Discusses the fundamental principles and techniques for processing and analysis of big data. Address the use of big data in cancer prevention, detection, prognosis, and management. Provides practical guidance on implementation for clinicians and other stakeholders.Dr. Jun Deng is a professor at the Department of Therapeutic Radiology of Yale University School of Medicine and an ABR board certified medical physicist at Yale-New Haven Hospital. He has received numerous honors and awards such as Fellow of Institute of Physics in 2004, AAPM Medical Physics Travel Grant in 2008, ASTRO IGRT Symposium Travel Grant in 2009, AAPM-IPEM Medical Physics Travel Grant in 2011, and Fellow of AAPM in 2013. Lei Xing, Ph.D., is the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. His research has been focused on inverse treatment planning, tomographic image reconstruction, CT, optical and PET imaging instrumentations, image guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr. Xing is on the editorial boards of a number of journals in radiation physics and medical imaging, and is recipient of numerous awards, including the American Cancer Society Research Scholar Award, The Whitaker Foundation Grant Award, and a Max Planck Institute Fellowship. This book gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. Basic principles are covered early on, and clinical applications become the focus thereafter. A final section introduces emerging models for cancer prevention and detection. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Condition: New. pp. 416.

Condition: New. pp. 416.

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Condition: New. pp. 416.

Condition: New. In English.

Hardcover. Condition: Brand New. 1st edition. 289 pages. 10.25x7.25x1.00 inches. In Stock.

Hardcover. Condition: new. Hardcover. Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy. Covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas. Discusses the fundamental principles and techniques for processing and analysis of big data. Address the use of big data in cancer prevention, detection, prognosis, and management. Provides practical guidance on implementation for clinicians and other stakeholders.Dr. Jun Deng is a professor at the Department of Therapeutic Radiology of Yale University School of Medicine and an ABR board certified medical physicist at Yale-New Haven Hospital. He has received numerous honors and awards such as Fellow of Institute of Physics in 2004, AAPM Medical Physics Travel Grant in 2008, ASTRO IGRT Symposium Travel Grant in 2009, AAPM-IPEM Medical Physics Travel Grant in 2011, and Fellow of AAPM in 2013. Lei Xing, Ph.D., is the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. His research has been focused on inverse treatment planning, tomographic image reconstruction, CT, optical and PET imaging instrumentations, image guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr. Xing is on the editorial boards of a number of journals in radiation physics and medical imaging, and is recipient of numerous awards, including the American Cancer Society Research Scholar Award, The Whitaker Foundation Grant Award, and a Max Planck Institute Fellowship. This book gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. Basic principles are covered early on, and clinical applications become the focus thereafter. A final section introduces emerging models for cancer prevention and detection. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

paperback. Condition: New. Paperback. Pub Date :2012-12-01 Pages: 360 Language: Chinese Publisher: Dalian University of Technology Press. New Century Modern Logistics Management Logistics Management applied higher education planning materials. To meet the new era of logistics management personnel training needs. we combine written in recent years of teaching experience. According to the logistics management disciplines comprehensive. systematic. application and development of a strong academic characteristics. New Cent.…

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2016-01-01 Pages: 230 Publisher: China Economic Publishing House suitable crowd read: SME practitioners and researchers first off financing for SMEs. SME policy. SME development environment.

paperback. Condition: New. Paperback. Pub Date: 2017-01-01 Pages: 207 Language: Chinese Publisher: tsinghua university press Book with SL4A technology as the core content. with JavaScript as the main development language. systematically expounds the Android script development technology.Book a total of 13 chapters. chapter 1 for Android development prospects.…