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Sarah Eskreis-Winkler

Formats
  1. Journal Article (18)
  2. Review (6)
  3. Book Section (1)
  4. Correspondence (1)
  5. Meeting Abstract (1)
Groups
  1. Breast Imaging Service (27)
  2. Radiology, Department of (27)
  3. Sloan Kettering Institute Postdocs (22)
  4. Body Imaging Service (19)
  5. Medical Physics (9)
  6. Epidemiology and Biostatistics (8)

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People
  1. Katja Pinker-Domenig (21)
  2. Roberto Lo Gullo (10)
  3. Elizabeth Sutton (9)
  4. Sunitha Thakur (9)
  5. Arka Bhowmik (6)
  6. Elizabeth Morris (6)

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Years
  1. 2025 (3)
  2. 2024 (9)
  3. 2023 (3)
  4. 2022 (5)
  5. 2021 (3)
  6. 2020 (2)

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Publications
  1. Journal of Magnetic Resonance Imaging (4)
  2. BJR Open (2)
  3. Frontiers in Oncology (2)
  4. Investigative Radiology (2)
  5. Radiology (2)
  6. Radiology: Artificial Intelligence (2)

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Publishers
  1. Wiley Blackwell (4)
  2. Radiological Society of North America, Inc. (3)
  3. Elsevier Inc. (3)
  4. British Institute of Radiology (2)
  5. Frontiers Media S.A. (2)
  6. Lippincott Williams & Wilkins (2)

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Results (27)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • A survey of publicly available MRI datasets for potential use in artificial intelligence research
    Review

    Dishner, K. A.; McRae-Posani, B.; Bhowmik, A.; Jochelson, M. S.; Holodny, A.; Pinker, K.; Eskreis-Winkler, S.; Stember, J. N.
    Journal of Magnetic Resonance Imaging (2024)

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  • Breast MRI in patients with implantable loop recorder: Initial experience
    Journal Article

    Nissan, N.; Ochoa-Albiztegui, R. E.; Fruchtman, H.; Gluskin, J.; Eskreis-Winkler, S.; Horvat, J. V.; Kosmidou, I.; Meng, A.; Pinker, K.; Jochelson, M. S.
    European Radiology (2024)

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  • Automated triage of screening breast MRI examinations in high-risk women using an ensemble deep learning model
    Journal Article

    Bhowmik, A.; Monga, N.; Belen, K.; Varela, K.; Sevilimedu, V.; Thakur, S. B.; Martinez, D. F.; Sutton, E. J.; Pinker, K.; Eskreis-Winkler, S.
    Investigative Radiology (2023)

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  • High-temporal/high-spatial resolution breast magnetic resonance imaging improves diagnostic accuracy compared with standard breast magnetic resonance imaging in patients with high background parenchymal enhancement
    Journal Article

    Eskreis-Winkler, S.; Sung, J. S.; Dixon, L.; Monga, N.; Jindal, R.; Simmons, A.; Thakur, S.; Sevilimedu, V.; Sutton, E.; Comstock, C.; more...
    Journal of Clinical Oncology (2023)

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  • Artificial intelligence-enhanced breast MRI and DWI: Current status and future applications
    Book Section

    Pinker, K.; Lo Gullo, R.; Eskreis-Winkler, S.; Bitencourt, A.; Gibbs, P.; Thakur, S. B.
    In Iima, M.; Partridge, S. C.; Le Bihan, D. (Eds.) Diffusion MRI of the Breast (2023)

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  • Deep learning in breast imaging
    Review

    Bhowmik, A.; Eskreis-Winkler, S.
    BJR Open (2022)

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  • Prediction of neoadjuvant treatment outcomes with multimodal data integration in breast cancer
    Meeting Abstract

    Khosravi, P.; Sutton, E. J.; Jee, J.; Dalfonso, T.; Fong, C. J.; Rose, D.; Da Silva, E. M.; Kohli, A.; Ho, D. J.; Ahmed, M. S.; more...
    Cancer Research (2022)

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  • Breast MRI background parenchymal enhancement categorization using deep learning: Outperforming the radiologist
    Journal Article

    Eskreis-Winkler, S.; Sutton, E. J.; D'Alessio, D.; Gallagher, K.; Saphier, N.; Stember, J.; Martinez, D. F.; Morris, E. A.; Pinker, K.
    Journal of Magnetic Resonance Imaging (2022)

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  • Radiologist-level performance by using deep learning for segmentation of breast cancers on MRI scans
    Journal Article

    Hirsch, L.; Huang, Y.; Luo, S.; Saccarelli, C. R.; Lo Gullo, R.; Naranjo, I. D.; Bitencourt, A. G. V.; Onishi, N.; Ko, E. S.; Leithner, D.; more...
    Radiology: Artificial Intelligence (2022)

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  • Differentiation between benign and metastatic breast lymph nodes using apparent diffusion coefficients
    Journal Article

    Fardanesh, R.; Thakur, S. B.; Sevilimedu, V.; Horvat, J. V.; Lo Gullo, R.; Reiner, J. S.; Eskreis-Winkler, S.; Thakur, N.; Pinker, K.
    Frontiers in Oncology (2022)

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