Hasil Pencarian - Lee A D Cooper

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  1. 1
    TASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics

    TASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics oleh Yue Hou, Jessica Konen, Daniel J. Brat, Adam I. Marcus, Lee A. D. Cooper

    Diterbitkan 2018-05-01
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  2. 2
    Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification

    Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification oleh Miguel Lopez-Perez, Pablo Morales-Alvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos

    Diterbitkan 2023-01-01
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  3. 3
    A panoptic segmentation dataset and deep-learning approach for explainable scoring of tumor-infiltrating lymphocytes

    A panoptic segmentation dataset and deep-learning approach for explainable scoring of tumor-infiltrating lymphocytes oleh Shangke Liu, Mohamed Amgad, Deeptej More, Muhammad A. Rathore, Roberto Salgado, Lee A. D. Cooper

    Diterbitkan 2024-06-01
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  4. 4
    High expression of MKK3 is associated with worse clinical outcomes in African American breast cancer patients

    High expression of MKK3 is associated with worse clinical outcomes in African American breast cancer patients oleh Xuan Yang, Mohamed Amgad, Lee A. D. Cooper, Yuhong Du, Haian Fu, Andrey A. Ivanov

    Diterbitkan 2020-09-01
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  5. 5
    Learning from crowds in digital pathology using scalable variational Gaussian processes

    Learning from crowds in digital pathology using scalable variational Gaussian processes oleh Miguel López-Pérez, Mohamed Amgad, Pablo Morales-Álvarez, Pablo Ruiz, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos

    Diterbitkan 2021-06-01
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  6. 6
    Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning

    Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning oleh Thomas E. Tavolara, M. Khalid Khan Niazi, Andrew L. Feldman, David L. Jaye, Christopher Flowers, Lee A.D. Cooper, Metin N. Gurcan

    Diterbitkan 2024-01-01
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  7. 7
    The proneural molecular signature is enriched in oligodendrogliomas and predicts improved survival among diffuse gliomas.

    The proneural molecular signature is enriched in oligodendrogliomas and predicts improved survival among diffuse gliomas. oleh Lee A D Cooper, David A Gutman, Qi Long, Brent A Johnson, Sharath R Cholleti, Tahsin Kurc, Joel H Saltz, Daniel J Brat, Carlos S Moreno

    Diterbitkan 2010-09-01
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  8. 8
    Machine-based morphologic analysis of glioblastoma using whole-slide pathology images uncovers clinically relevant molecular correlates.

    Machine-based morphologic analysis of glioblastoma using whole-slide pathology images uncovers clinically relevant molecular correlates. oleh Jun Kong, Lee A D Cooper, Fusheng Wang, Jingjing Gao, George Teodoro, Lisa Scarpace, Tom Mikkelsen, Matthew J Schniederjan, Carlos S Moreno, Joel H Saltz, Daniel J Brat

    Diterbitkan 2013-01-01
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  9. 9
    A high-performance spatial database based approach for pathology imaging algorithm evaluation

    A high-performance spatial database based approach for pathology imaging algorithm evaluation oleh Fusheng Wang, Jun Kong, Jingjing Gao, Lee A.D. Cooper, Tahsin Kurc, Zhengwen Zhou, David Adler, Cristobal Vergara-Niedermayr, Bryan Katigbak, Daniel J Brat, Joel H Saltz

    Diterbitkan 2013-01-01
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  10. 10
    MEDICI: Mining Essentiality Data to Identify Critical Interactions for Cancer Drug Target Discovery and Development.

    MEDICI: Mining Essentiality Data to Identify Critical Interactions for Cancer Drug Target Discovery and Development. oleh Sahar Harati, Lee A D Cooper, Josue D Moran, Felipe O Giuste, Yuhong Du, Andrei A Ivanov, Margaret A Johns, Fadlo R Khuri, Haian Fu, Carlos S Moreno

    Diterbitkan 2017-01-01
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  11. 11
    Correction: Corrigendum: The OncoPPi network of cancer-focused protein–protein interactions to inform biological insights and therapeutic strategies

    Correction: Corrigendum: The OncoPPi network of cancer-focused protein–protein interactions to inform biological insights and therapeutic strategies oleh Zenggang Li, Andrei A. Ivanov, Rina Su, Valentina Gonzalez-Pecchi, Qi Qi, Songlin Liu, Philip Webber, Elizabeth McMillan, Lauren Rusnak, Cau Pham, Xiaoqian Chen, Xiulei Mo, Brian Revennaugh, Wei Zhou, Adam Marcus, Sahar Harati, Xiang Chen, Margaret A. Johns, Michael A. White, Carlos S. Moreno, Lee A. D. Cooper, Yuhong Du, Fadlo R. Khuri, Haian Fu

    Diterbitkan 2017-04-01
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  12. 12
    The OncoPPi network of cancer-focused protein–protein interactions to inform biological insights and therapeutic strategies

    The OncoPPi network of cancer-focused protein–protein interactions to inform biological insights and therapeutic strategies oleh Zenggang Li, Andrei A. Ivanov, Rina Su, Valentina Gonzalez-Pecchi, Qi Qi, Songlin Liu, Philip Webber, Elizabeth McMillan, Lauren Rusnak, Cau Pham, Xiaoqian Chen, Xiulei Mo, Brian Revennaugh, Wei Zhou, Adam Marcus, Sahar Harati, Xiang Chen, Margaret A. Johns, Michael A. White, Carlos S. Moreno, Lee A. D. Cooper, Yuhong Du, Fadlo R. Khuri, Haian Fu

    Diterbitkan 2017-02-01
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