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  1. Nadeem
    Nadeem
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    Veeraraghavan
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    Akin
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  1. Sloan Kettering Institute Postdocs (29)
  2. Medical Physics (26)
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  5. Radiotherapy Physics Service (7)
  6. Center for Pancreatic Cancer Research (4)
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  1. "Lecture Notes in Computer Science"
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  1. Conference Paper (51)
  2. Journal Article (7)
Groups
  1. Sloan Kettering Institute Postdocs (29)
  2. Medical Physics (26)
  3. Radiology, Department of (10)
  4. Body Imaging Service (9)
  5. Radiotherapy Physics Service (7)
  6. Center for Pancreatic Cancer Research (4)

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  1. Saad Nadeem (11)
  2. Harini Veeraraghavan (6)
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  6. Thomas Fuchs (4)

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  1. 2025 (1)
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Publications
  1. Lecture Notes in Computer Science (58)

Results (58)


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  • Longitudinal prediction of radiation-induced anatomical changes of parotid glands during radiotherapy using deep learning
    Conference Paper

    Lee, D.; Alam, S.; Nadeem, S.; Jiang, J.; Zhang, P.; Hu, Y. C.
    Springer (2020)

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  • Multimarginal Wasserstein barycenter for stain normalization and augmentation
    Conference Paper

    Nadeem, S.; Hollmann, T.; Tannenbaum, A.
    Springer (2020)

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  • Fisher-Rao regularized transport analysis of the glymphatic system and waste drainage
    Conference Paper

    Elkin, R.; Nadeem, S.; Lee, H.; Benveniste, H.; Tannenbaum, A.
    Springer (2020)

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  • Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation
    Conference Paper

    Jiang, J.; Veeraraghavan, H.
    Springer (2020)

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  • Deep interactive learning: An efficient labeling approach for deep learning-based osteosarcoma treatment response assessment
    Conference Paper

    Ho, D. J.; Agaram, N. P.; Schüffler, P. J.; Vanderbilt, C. M.; Jean, M. H.; Hameed, M. R.; Fuchs, T. J.
    Springer (2020)

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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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  • PHiSeg: Capturing uncertainty in medical image segmentation
    Conference Paper

    Baumgartner, C. F.; Tezcan, K. C.; Chaitanya, K.; Hötker, A. M.; Muehlematter, U. J.; Schawkat, K.; Becker, A. S.; Donati, O.; Konukoglu, E.
    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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