Quantitative Imaging in Cancer Clinical Trials
Thomas E. Yankeelov(The University of Texas MD Anderson Cancer Center), Daniel L. Rubin(Palo Alto University), James M. Mountz(University of Alabama at Birmingham), Laurence P. Clarke, Frank S. Lieberman(University of Pittsburgh), Wei Huang, Hannah M. Linden(University of Washington), Richard L. Wahl(Mallinckrodt (United States)), Nola M. Hylton(University of California, San Francisco), Jayashree Kalpathy–Cramer(University of Colorado Denver), John M. Buatti(University of Iowa), Lawrence H. Schwartz(Memorial Sloan Kettering Cancer Center), David A. Mankoff(University of Pennsylvania), Paul E. Kinahan(Memorial Sloan Kettering Cancer Center), Robert J. Gillies(University of Calgary), Robert J. Nordstrom, Fiona M. Fennessy(Brigham and Women's Hospital), Binsheng Zhao(NewYork–Presbyterian Hospital), Bradley J. Erickson(Mayo Clinic)
Cited by 124
Related Papers
3D Slicer as an image computing platform for the Quantitative Imaging Network
|Magnetic Resonance Imaging|2012|9.1k
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
|IEEE Transactions on Medical Imaging|2014|6.7k
Trial Design and Objectives for Castration-Resistant Prostate Cancer: Updated Recommendations From the Prostate Cancer Clinical Trials Working Group 3
|Journal of Clinical Oncology|2016|1.6k
BioPortal: ontologies and integrated data resources at the click of a mouse
|Nucleic Acids Research|2009|884