8 Results

People

  1. Al Efishat
    Al Efishat
  2. Allen
    Allen
  3. Askan
    Askan
  4. Attiyeh
    Attiyeh
  5. Balachandran
    Balachandran
  6. Basturk
    Basturk
  7. Chakraborty
    Chakraborty
  8. Chou
    Chou
  9. D'Angelica
    D'Angelica
  10. Deasy
    Deasy

Groups

  1. Sloan Kettering Institute Postdocs (6)
  2. Medical Physics (4)
  3. Radiology, Department of (4)
  4. Center for Pancreatic Cancer Research (3)
  5. GSK Faculty (3)
  6. Biostatistics Service (2)
  7. Body Imaging Service (2)
  8. Department of Pathology and Laboratory Medicine (2)
  9. Epidemiology and Biostatistics (2)
  10. GME, Surgery (2)
  1. "area under the curves"
Formats
  1. Journal Article (6)
  2. Conference Paper (1)
  3. Meeting Abstract (1)
Groups
  1. Sloan Kettering Institute Postdocs (6)
  2. Medical Physics (4)
  3. Radiology, Department of (4)
  4. Center for Pancreatic Cancer Research (3)
  5. GSK Faculty (3)
  6. Biostatistics Service (2)

More Groups

People
  1. Alessandra Pulvirenti (2)
  2. Caitlin McIntyre (2)
  3. Gokce Askan (2)
  4. Jayasree Chakraborty (2)
  5. Jeffrey Drebin (2)
  6. Joseph Deasy (2)

More People

Years
  1. 2021 (1)
  2. 2020 (4)
  3. 2019 (1)
  4. 2018 (1)
  5. 2017 (1)
Publications
  1. International Journal of Radiation Oncology, Biology, Physics (2)
  2. ACM-BCB '17: Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (1)
  3. Journal of Digital Imaging (1)
  4. Journal of Medical Imaging (1)
  5. Magnetic Resonance in Medicine (1)
  6. Medical Physics (1)

More Publications

Publishers
  1. Elsevier Inc. (2)
  2. SPIE (2)
  3. American Association of Physicists in Medicine (1)
  4. Assoc Computing Machinery (1)
  5. John Wiley & Sons (1)
  6. Springer (1)

Results (8)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Dynamic volumetric hyperpolarized (13)C imaging with multi-echo EPI
    Journal Article

    Deh, K.; Granlund, K. L.; Eskandari, R.; Kim, N.; Mamakhanyan, A.; Keshari, K. R.
    Magnetic Resonance in Medicine (2021)

    Fulltext@MSK | Save
  • External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis
    Journal Article

    Garau, N.; Paganelli, C.; Summers, P.; Choi, W.; Alam, S.; Lu, W.; Fanciullo, C.; Bellomi, M.; Baroni, G.; Rampinelli, C.
    Medical Physics (2020)

    Fulltext@MSK | Save
  • Multimodal radiomics and cyst fluid inflammatory markers model to predict preoperative risk in intraductal papillary mucinous neoplasms
    Journal Article

    Harrington, K. A.; Williams, T. L.; Lawrence, S. A.; Chakraborty, J.; Al Efishat, M. A.; Attiyeh, M. A.; Askan, G.; Chou, Y.; Pulvirenti, A.; McIntyre, C. A.; more...
    Journal of Medical Imaging (2020)

    Fulltext@MSK | Save
  • A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions
    Conference Paper

    Williams, T. L.; Harrington, K. A.; Lawrence, S. A.; Chakraborty, J.; Al Efishat, M. A.; Attiyeh, M. A.; Askan, G.; Chou, Y.; Pulvirenti, A.; McIntyre, C. A.; more...
    SPIE (2020)

    Fulltext@MSK | Save
  • Dose to highly functional ventilation zones improves prediction of radiation pneumonitis for proton and photon lung cancer radiation therapy
    Journal Article

    O'Reilly, S.; Jain, V.; Huang, Q.; Cheng, C.; Teo, B. K. K.; Yin, L.; Zhang, M.; Diffenderfer, E.; Li, T.; Levin, W.; more...
    International Journal of Radiation Oncology, Biology, Physics (2020)

    Fulltext@MSK | Save
  • Improved cancer detection using artificial intelligence: A retrospective evaluation of missed cancers on mammography
    Journal Article

    Watanabe, A. T.; Lim, V.; Vu, H. X.; Chim, R.; Weise, E.; Liu, J.; Bradley, W. G.; Comstock, C. E.
    Journal of Digital Imaging (2019)

    Fulltext@MSK | Save
  • Machine learning on a genome-wide association study to predict late genitourinary toxicity after prostate radiation therapy
    Journal Article

    Lee, S.; Kerns, S.; Ostrer, H.; Rosenstein, B.; Deasy, J. O.; Oh, J. H.
    International Journal of Radiation Oncology, Biology, Physics (2018)

    Fulltext@MSK | Save
  • Preconditioned random forest regression: Application to genome-wide study for radiotherapy toxicity prediction
    Meeting Abstract

    Lee, S.; Ostrer, H.; Kerns, S.; Deasy, J. O.; Rosenstein, B.; Oh, J. H.
    ACM-BCB '17: Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (2017)

    Fulltext@MSK | Save