309 Results

People

  1. Jarnagin
    Jarnagin
  2. Wang
    Wang
  3. Do
    Do
  4. Jiang
    Jiang
  5. Nadeem
    Nadeem
  6. Rajadhyaksha
    Rajadhyaksha
  7. Deasy
    Deasy
  8. Simpson
    Simpson
  9. Veeraraghavan
    Veeraraghavan
  10. Halpern
    Halpern

Groups

  1. Medical Physics (140)
  2. Sloan Kettering Institute Postdocs (97)
  3. Radiology, Department of (80)
  4. Radiotherapy Physics Service (48)
  5. Center for Pancreatic Cancer Research (44)
  6. Department of Medicine (43)
  7. GSK Faculty (42)
  8. Body Imaging Service (38)
  9. Surgery (34)
  10. Division of Subspecialty Medicine (29)
  1. "medical imaging"
Formats
  1. Journal Article (152)
  2. Conference Paper (145)
  3. Review (9)
  4. Meeting Abstract (2)
  5. Book Section (1)
Groups
  1. Medical Physics (140)
  2. Sloan Kettering Institute Postdocs (97)
  3. Radiology, Department of (80)
  4. Radiotherapy Physics Service (48)
  5. Center for Pancreatic Cancer Research (44)
  6. Department of Medicine (43)

More Groups

People
  1. William Jarnagin (21)
  2. Yulin Song (16)
  3. Tonghe Wang (14)
  4. Jue Jiang (13)
  5. Kinh Gian Do (13)
  6. Milind Rajadhyaksha (13)

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Years
  1. 2025 (5)
  2. 2024 (25)
  3. 2023 (32)
  4. 2022 (30)
  5. 2021 (20)
  6. 2020 (17)

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Publications
  1. Proceedings of SPIE (39)
  2. Progress in Biomedical Optics and Imaging - Proceedings of SPIE (36)
  3. Lecture Notes in Computer Science (33)
  4. International Journal of Radiation Oncology, Biology, Physics (17)
  5. Clinical Imaging (13)
  6. Medical Physics (13)

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Publishers
  1. SPIE (86)
  2. Springer (45)
  3. Elsevier Inc. (40)
  4. IEEE (31)
  5. American Association of Physicists in Medicine (13)
  6. IOP Publishing Ltd (12)

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Results (309)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Assessment of SPECT systems using multiple detector technologies
    Conference Paper

    Cronin, K. P.; Humm, J. L.; Woolfenden, J. M.; Clarkson, E.; Kupinski, M. A.; Furenlid, L. R.
    IEEE (2019)

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  • Automatic quantification of HER2 gene amplification in invasive breast cancer from chromogenic in situ hybridization whole slide images
    Journal Article

    Hossain, M. S.; Hanna, M. G.; Uraoka, N.; Nakamura, T.; Edelweiss, M.; Brogi, E.; Hameed, M. R.; Yamaguchi, M.; Ross, D. S.; Yagi, Y.
    Journal of Medical Imaging (2019)

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  • A deep adaptive convolutional network for brain tumor segmentation from multimodal MR images
    Conference Paper

    Ghosal, P.; Reddy, S.; Sai, C.; Pandey, V.; Chakraborty, J.; Nandi, D.
    IEEE (2019)

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  • Automatically tracking and detecting significant nodal mass shrinkage during head-and-neck radiation treatment using image saliency
    Conference Paper

    Hu, Y. C.; Polvorosa, C.; Tsai, C. J.; Hunt, M.
    Springer (2019)

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  • Cardio-pulmonary substructure segmentation of CT images using convolutional neural networks
    Conference Paper

    Haq, R.; Hotca, A.; Apte, A.; Rimner, A.; Deasy, J. O.; Thor, M.
    Springer (2019)

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  • 3DFPN-HS(2): 3D feature pyramid network based high sensitivity and specificity pulmonary nodule detection
    Conference Paper

    Liu, J.; Cao, L.; Akin, O.; Tian, Y.
    Springer (2019)

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  • Unsupervised subtyping of cholangiocarcinoma using a deep clustering convolutional autoencoder
    Conference Paper

    Muhammad, H.; Sigel, C. S.; Campanella, G.; Boerner, T.; Pak, L. M.; Büttner, S.; Ijzermans, J. N. M.; Koerkamp, B. G.; Doukas, M.; Jarnagin, W. R.; more...
    Springer (2019)

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  • Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation
    Conference Paper

    Jue, J.; Jason, H.; Neelam, T.; Andreas, R.; Sean, B. L.; Joseph, D. O.; Harini, V.
    Springer (2019)

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  • Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets
    Journal Article

    Um, H.; Tixier, F.; Bermudez, D.; Deasy, J. O.; Young, R. J.; Veeraraghavan, H.
    Physics in Medicine and Biology (2019)

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  • Big data analytics in medical imaging using deep learning
    Conference Paper

    Tahmassebi, A.; Ehtemami, A.; Mohebali, B.; Gandomi, A. H.; Pinker, K.; Meyer-Baese, A.
    SPIE (2019)

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