Series Preface

Preface



Acknowledgments



Editors



Contributors

1. Big data in radiation oncology: Opportunities and challenges



Jean-Emmanuel Bibault

2. Data standardization and informatics in radiation oncology



Charles S. Mayo

3. Storage and databases for big data



Tomas Skripcak, Uwe Just, Ida Schonfeld, Esther G.C. Troost, and Mechthild Krause

4. Machine learning for radiation oncology



Yi Luo and Issam El Naqa

5. Cloud computing for big data



Sepideh Almasi and Guillem Pratx

6. Big data statistical methods for radiation oncology



Yu Jiang, Vojtech Huser, and Shuangge Ma

7. From model-driven to knowledge- and data-based treatment planning



Morteza Mardani, Yong Yang, Yinyi Ye, Stephen Boyd, and Lei Xing

8. Using big data to improve safety and quality in radiation oncology



Eric Ford, Alan Kalet, and Mark Phillips

9. Tracking organ doses for patient safety in radiation therapy



Wazir Muhammad, Ying Liang, Gregory R. Hart, Bradley J. Nartowt, David A. Roffman, and Jun Deng

10. Big data and comparative effectiveness research in radiation oncology



Sunil W. Dutta, Daniel M. Trifiletti, and Timothy N. Showalter

11. Cancer registry and big data exchange



Zhenwei Shi, Leonard Wee, and Andre Dekker

12. Clinical and cultural challenges of big data in radiation oncology



Brandon Dyer, Shyam Rao, Yi Rong, Chris Sherman, Mildred Cho, Cort Buchholz, and Stanley Benedict

13. Radiogenomics



Barry S. Rosenstein, Gaurav Pandey, Corey W. Speers, Jung Hun Oh, Catharine M.L. West, and Charles S. Mayo

14. Radiomics and quantitative imaging



Dennis Mackin and Laurence E. Court

15. Radiotherapy outcomes modeling in the big data era



Joseph O. Deasy, Aditya P. Apte, Maria Thor, Jeho Jeong, Aditi Iyer, Jung Hun Oh, and Andrew Jackson

16. Multi-parameterized models for early cancer detection and prevention



Gregory R. Hart, David A. Roffman, Ying Liang, Bradley J. Nartowt, Wazir Muhammad, and Jun Deng

Index