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Big Data in Radiation Oncology
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Big Data in Radiation Oncology (Hardback)

£140.00
Pre-order. Despatched on publication 19/02/2019

Synopsis

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.

Medical & VeterinaryBrances of medicineDiseases & disordersOncologyMedical & VeterinaryNursing & ancillary servicesBiomedical engineeringScience & MathematicsPhysicsApplied physicsMedical physics Publisher: Taylor & Francis Ltd Publication Date: 19/02/2019 ISBN-13: 9781138633438  Details: Type: Hardback Format: Books
Availability: Pre-order. Despatched on publication 19/02/2019 Pre-Order

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. Dr. Deng obtained his Ph.D. from University of Virginia in 1998 and finished his postdoctoral fellowship at Department of Radiation Oncology of Stanford University in 2001. Since 2001 Dr. Deng has joined Yale University Department of Therapeutic Radiology as a faculty physicist. Dr. Deng has been serving on the Editorial Board of numerous peer-reviewed journals, on the study section of NIH, DOD, ASTRO and RSNA since 2005, and as scientific reviewer for European Science Foundation and Dutch Cancer Society since 2015. Dr. Deng 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. At Yale, Dr. Deng's research has been focused on big data, machine learning, artificial intelligence, and medical imaging for early cancer detection and prevention. In 2013 his group developed CT Gently, the world's first iPhone App that can be used to estimate organ doses and associated cancer risks from CT and CBCT scans. Recently, funded by a NIH R01 grant, they have been developing a personal organ dose archive (PODA) system for personalized tracking of radiation doses to improve patient safety in radiation therapy. Lei Xing, Ph.D., is currently the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. He also holds affiliate faculty positions in Departments of Electric Engineering (courtesy), Medical Informatics, Bio-X and Molecular Imaging Program at Stanford. Dr. Xing obtained his PhD in Physics from the Johns Hopkins University in 1992 and received his Medical Physics training at the University of Chicago. He has been a member of the Radiation Oncology faculty at Stanford since 1997. He is also an affiliated faculty member in Stanford's Department of Electrical Engineering, Biomedical Informatics Program, Molecular Imaging Program at Stanford, and Bio-X program. 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 an author on more than 250 peerreviewed publications, a co-inventor on many issued and pending patents, and a co-investigator or principal investigator on numerous NIH, DOD, NSF, ACS grants and projects from other funding agencies and corporates. He and his lab members have received numerous awards from ACS, AAPM, ASTRO, WMIC, and RSNA in the past decade. 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.

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