R
Rikiya Yamashita
Researcher at Stanford University
Publications - 36
Citations - 3209
Rikiya Yamashita is an academic researcher from Stanford University. The author has contributed to research in topics: Deep learning & Cancer. The author has an hindex of 10, co-authored 36 publications receiving 1368 citations. Previous affiliations of Rikiya Yamashita include Cornell University & Kyoto University.
Papers
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Journal ArticleDOI
Convolutional neural networks: an overview and application in radiology
TL;DR: A perspective on the basic concepts of convolutional neural network and its application to various radiological tasks is offered, and its challenges and future directions in the field of radiology are discussed.
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Sorafenib for Advanced and Refractory Desmoid Tumors.
Mrinal M. Gounder,Michelle R. Mahoney,Brian A. Van Tine,Vinod Ravi,Steven Attia,Hari Anant Deshpande,Abha A. Gupta,Mohammed M. Milhem,Robert M. Conry,Sujana Movva,Michael J. Pishvaian,Richard F. Riedel,Tarek Sabagh,William D. Tap,Natally Horvat,Ethan Basch,Lawrence H. Schwartz,Robert G. Maki,Narasimhan P. Agaram,Robert A. Lefkowitz,Yousef Mazaheri,Rikiya Yamashita,John J. Wright,Amylou C. Dueck,Gary K. Schwartz +24 more
TL;DR: Among patients with progressive, refractory, or symptomatic desmoid tumors, sorafenib significantly prolonged progression‐free survival and induced durable responses.
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Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.
Rikiya Yamashita,Jin Long,Teri A. Longacre,Lan Peng,Gerald J. Berry,Brock A. Martin,John P. Higgins,Daniel L. Rubin,Jeanne Shen +8 more
TL;DR: In this paper, a deep learning-based system for automated microsatellite instability detection from haematoxylin and eosin (HE internal dataset) between Jan 1, 2015, and Dec 31, 2017 was investigated.
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18F-FDG PET/CT for Monitoring of Ipilimumab Therapy in Patients with Metastatic Melanoma.
Kimiteru Ito,Rebecca Teng,Heiko Schöder,John L. Humm,Ai Ni,Laure Michaud,Reiko Nakajima,Rikiya Yamashita,Jedd D. Wolchok,Jedd D. Wolchok,Wolfgang A. Weber +10 more
TL;DR: In patients with metastatic melanoma treated with ipilimumab, tumor response according to PERCIST was associated with OS and the data suggest that PMD should not be defined by the appearance of new lesions, but rather by an increase in the sum of SULpeak.
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Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation
Jennifer S. Golia Pernicka,J. Gagnière,J. Gagnière,Jayasree Chakraborty,Rikiya Yamashita,Lorenzo Nardo,Lorenzo Nardo,John M. Creasy,Iva Petkovska,Richard R K Do,David D. B. Bates,Viktoriya Paroder,Mithat Gonen,Martin R. Weiser,Amber L. Simpson,Marc J. Gollub +15 more
TL;DR: Preoperative prediction of MSI status via radiomic analysis of preoperative CT adds specificity to clinical assessment and could contribute to personalized treatment selection.