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An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.

Y. Shen, N. Wu, J. Phang, J. Park, K. Liu, S. Tyagi, L. Heacock, S. Kim, L. Moy, K. Cho, and K. Geras. Medical Image Anal., (2021)

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Rosemary Park

Sungjune Park

Jinhyung Park

Kwan Park

Shinja Park

Other publications of authors with the same name

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.N. Wu, J. Phang, J. Park, Y. Shen, Z. Huang, M. Zorin, S. Jastrzebski, T. Févry, J. Katsnelson, E. Kim and 22 other author(s). IEEE Trans. Medical Imaging, 39 (4): 1184-1194 (2020)An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects.J. Park, J. Chledowski, S. Jastrzebski, J. Witowski, Y. Xu, L. Du, S. Gaddam, E. Kim, A. Lewin, U. Parikh and 12 other author(s). IEEE Trans. Medical Imaging, 43 (1): 351-365 (January 2024)Screening Mammogram Classification with Prior Exams.J. Park, J. Phang, Y. Shen, N. Wu, S. Kim, L. Moy, K. Cho, and K. Geras. CoRR, (2019)3D-GMIC: an efficient deep neural network to find small objects in large 3D images.J. Park, J. Chledowski, S. Jastrzebski, J. Witowski, Y. Xu, L. Du, S. Gaddam, E. Kim, A. Lewin, U. Parikh and 12 other author(s). CoRR, (2022)Using board games to improve mathematical creativity.J. Park, and K. Lee. Int. J. Knowl. Learn., 12 (1): 49-58 (2017)Exploring synthesizing 2D mammograms from 3D digital breast tomosynthesis images.J. Chledowski, J. Park, and K. Geras. DICTA, page 562-569. IEEE, (2023)An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.Y. Shen, N. Wu, J. Phang, J. Park, K. Liu, S. Tyagi, L. Heacock, S. Kim, L. Moy, K. Cho and 1 other author(s). Medical Image Anal., (2021)An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.Y. Shen, N. Wu, J. Phang, J. Park, K. Liu, S. Tyagi, L. Heacock, S. Kim, L. Moy, K. Cho and 1 other author(s). CoRR, (2020)Lessons from the first DBTex Challenge.J. Park, Y. Shoshan, R. Martí, P. del Campo, V. Ratner, D. Khapun, A. Zlotnick, E. Barkan, F. Gilboa-Solomon, J. Chledowski and 22 other author(s). Nat. Mach. Intell., 3 (8): 735-736 (2021)Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data.Y. Shen, J. Park, F. Yeung, E. Goldberg, L. Heacock, F. Shamout, and K. Geras. CoRR, (2023)

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Disambiguation of "Park, Jungkyu"

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An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.

Please choose a person to relate this publication to

Rosemary Park

Sungjune Park

Jinhyung Park

Kwan Park

Shinja Park

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Park, Jungkyu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.

Please choose a person to relate this publication to

Rosemary Park

Sungjune Park

Jinhyung Park

Kwan Park

Shinja Park

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.