Search Within

Rikiya Yamashita

Formats
  1. Journal Article (9)
  2. Conference Paper (1)
  3. Meeting Abstract (1)
Groups
  1. Radiology, Department of (10)
  2. Body Imaging Service (9)
  3. Biostatistics Service (7)
  4. Epidemiology and Biostatistics (7)
  5. Sloan Kettering Institute Postdocs (7)
  6. Center for Pancreatic Cancer Research (6)

More Groups

People
  1. Kinh Gian Do (8)
  2. Jayasree Chakraborty (6)
  3. Mithat Gonen (6)
  4. Abhishek Midya (5)
  5. Amber Simpson (5)
  6. Alessandra Pulvirenti (3)

More People

Years
  1. 2021 (1)
  2. 2020 (3)
  3. 2019 (2)
  4. 2018 (5)
Publications
  1. Abdominal Radiology (3)
  2. Academic Radiology (1)
  3. Annals of Surgical Oncology (1)
  4. European Radiology (1)
  5. Insights into Imaging (1)
  6. JCO Clinical Cancer Informatics (1)

More Publications

Publishers
  1. Springer (5)
  2. American Society of Clinical Oncology (1)
  3. Elsevier Science, Inc. (1)
  4. Massachusetts Medical Society (1)
  5. SPIE (1)
  6. Society of Nuclear Medicine (1)

More Publishers

Results (11)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Quantitative computed tomography image analysis to predict pancreatic neuroendocrine tumor grade
    Journal Article

    Pulvirenti, A.; Yamashita, R.; Chakraborty, J.; Horvat, N.; Seier, K.; McIntyre, C. A.; Lawrence, S. A.; Midya, A.; Koszalka, M. A.; Gonen, M.; more...
    JCO Clinical Cancer Informatics (2021)

    Fulltext@MSK | Save
  • Quantitative and qualitative evaluation of convolutional neural networks with a deeper U-net for sparse-view computed tomography reconstruction
    Journal Article

    Nakai, H.; Nishio, M.; Yamashita, R.; Ono, A.; Nakao, K. K.; Fujimoto, K.; Togashi, K.
    Academic Radiology (2020)

    Fulltext@MSK | Save
  • Deep convolutional neural network applied to the liver imaging reporting and data system (LI-RADS) version 2014 category classification: A pilot study
    Journal Article

    Yamashita, R.; Mittendorf, A.; Zhu, Z.; Fowler, K. J.; Santillan, C. S.; Sirlin, C. B.; Bashir, M. R.; Do, R. K. G.
    Abdominal Radiology (2020)

    Fulltext@MSK | Save
  • Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation
    Journal Article

    Yamashita, R.; Perrin, T.; Chakraborty, J.; Chou, J. F.; Horvat, N.; Koszalka, M. A.; Midya, A.; Gonen, M.; Allen, P.; Jarnagin, W. R.; more...
    European Radiology (2020)

    Fulltext@MSK | Save
  • Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation
    Journal Article

    Golia Pernicka, J. S.; Gagniere, J.; Chakraborty, J.; Yamashita, R.; Nardo, L.; Creasy, J. M.; Petkovska, I.; Do, R. R. K.; Bates, D. D. B.; Paroder, V.; more...
    Abdominal Radiology (2019)

    Fulltext@MSK | Save
  • (18)F-FDG PET/CT for monitoring of ipilimumab therapy in patients with metastatic melanoma
    Journal Article

    Ito, K.; Teng, R.; Schòˆder, H.; Humm, J. L.; Ni, A.; Michaud, L.; Nakajima, R.; Yamashita, R.; Wolchok, J. D.; Weber, W. A.
    Journal of Nuclear Medicine (2019)

    Fulltext@MSK | Save
  • Short-term reproducibility of radiomic features in liver parenchyma and liver malignancies on contrast-enhanced CT imaging
    Journal Article

    Perrin, T.; Midya, A.; Yamashita, R.; Chakraborty, J.; Saidon, T.; Jarnagin, W. R.; Gonen, M.; Simpson, A. L.; Do, R. K. G.
    Abdominal Radiology (2018)

    Fulltext@MSK | Save
  • Sorafenib for advanced and refractory desmoid tumors
    Journal Article

    Gounder, M. M.; Mahoney, M. R.; Van Tine, B. A.; Ravi, V.; Attia, S.; Deshpande, H. A.; Gupta, A. A.; Milhem, M. M.; Conry, R. M.; Movva, S.; more...
    New England Journal of Medicine (2018)

    Fulltext@MSK | Save
  • Convolutional neural networks: An overview and application in radiology
    Journal Article

    Yamashita, R.; Nishio, M.; Do, R. K. G.; Togashi, K.
    Insights into Imaging (2018)

    Fulltext@MSK | Save
  • Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors
    Meeting Abstract

    Pulvirenti, A.; Chakraborty, J.; Yamashita, R.; Lawrence, S. A.; McIntyre, C. A.; Midya, A.; Koszalka, M. A.; Gonen, M.; Klimstra, D. S.; Reidy, D. L.; more...
    Annals of Surgical Oncology (2018)

    Fulltext@MSK | Save