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Pegah Khosravi

Formats
  1. Journal Article (7)
  2. Meeting Abstract (3)
  3. Book Section (1)
  4. Review (1)
Groups
  1. Epidemiology and Biostatistics (6)
  2. GSK Faculty (6)
  3. Center for Molecular Imaging and Biotechnology (CMIB) (5)
  4. Computational Oncology Service (5)
  5. GME, Medicine (5)
  6. Graduate Medical Education (5)

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People
  1. Jianjiong Gao (5)
  2. Sohrab Shah (5)
  3. Andrew Aukerman (4)
  4. Christopher Fong (4)
  5. Doori Rose (4)
  6. Elizabeth Zakszewski (4)

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Years
  1. 2023 (2)
  2. 2022 (6)
  3. 2021 (3)
  4. 2020 (1)
Publications
  1. Cancer Research (2)
  2. EBioMedicine (1)
  3. Journal of Magnetic Resonance Imaging (1)
  4. Laboratory Investigation (1)
  5. Machine Learning in Cardiovascular Medicine (1)
  6. Nature Cancer (1)

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Publishers
  1. American Association for Cancer Research (2)
  2. Elsevier Inc. (2)
  3. Nature Publishing Group (2)
  4. Academic Press (1)
  5. Cell Press (1)
  6. Nature Research (1)

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Results (12)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • The histopathological growth patterns of post-treatment colorectal liver metastases: Presence of mucin is associated with worse overall survival in tumors with desmoplastic pattern
    Meeting Abstract

    Firat, C.; Whiting, K.; Kohli, A.; Khosravi, P.; Garcia-Aguilar, J.; Gonen, M.; Shia, J.
    Laboratory Investigation (2023)

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  • A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: A retrospective model development and validation study
    Journal Article

    Barnes, J.; Brendel, M.; Gao, V. R.; Rajendran, S.; Kim, J.; Li, Q.; Malmsten, J. E.; Sierra, J. T.; Zisimopoulos, P.; Sigaras, A.; more...
    The Lancet Digital Health (2023)

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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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  • Luna Pathology: An integrated open source platform for computational pathology research
    Meeting Abstract

    Rose, D.; Aukerman, A.; Patel, D.; Pasha, A.; Kohli, A.; Vazquez-Garcia, I.; Boehm, K.; Vanguri, R.; Shabet, M.; Mancoridis, V.; more...
    Cancer Research (2022)

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  • Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer
    Journal Article

    Boehm, K. M.; Aherne, E. A.; Ellenson, L.; Nikolovski, I.; Alghamdi, M.; Vázquez-García, I.; Zamarin, D.; Roche, K. L.; Liu, Y.; Patel, D.; more...
    Nature Cancer (2022)

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  • Weakly-supervised tumor purity prediction from frozen H&E stained slides
    Journal Article

    Brendel, M.; Getseva, V.; Assaad, M. A.; Sigouros, M.; Sigaras, A.; Kane, T.; Khosravi, P.; Mosquera, J. M.; Elemento, O.; Hajirasouliha, I.
    EBioMedicine (2022)

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  • Semisupervised training of a brain MRI tumor detection model using mined annotations
    Journal Article

    Swinburne, N. C.; Yadav, V.; Kim, J.; Choi, Y. R.; Gutman, D. C.; Yang, J. T.; Moss, N.; Stone, J.; Tisnado, J.; Hatzoglou, V.; more...
    Radiology (2022)

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  • Harnessing multimodal data integration to advance precision oncology
    Review

    Boehm, K. M.; Khosravi, P.; Vanguri, R.; Gao, J.; Shah, S. P.
    Nature Reviews Cancer (2022)

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  • Technological advances within digital medicine
    Book Section

    Altibi, A. M.; Al'Aref, S.J.; Khosravi, P.
    In Al'Aref, S. J.; Singh, G.; Baskaran, L.; Metaxas, D. (Eds.) Machine Learning in Cardiovascular Medicine (2021)

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  • A deep learning approach to diagnostic classification of prostate cancer using pathology-radiology fusion
    Journal Article

    Khosravi, P.; Lysandrou, M.; Eljalby, M.; Li, Q.; Kazemi, E.; Zisimopoulos, P.; Sigaras, A.; Brendel, M.; Barnes, J.; Ricketts, C.; more...
    Journal of Magnetic Resonance Imaging (2021)

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