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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, S. Wolfson, U. Parikh, S. Gaddam, L. Lin, K. Ho, J. Weinstein, B. Reig, Y. Gao, H. Toth, K. Pysarenko, A. Lewin, J. Lee, K. Airola, E. Mema, S. Chung, E. Hwang, N. Samreen, S. Kim, L. Heacock, L. Moy, K. Cho, and K. Geras. IEEE Trans. Medical Imaging, 39 (4): 1184-1194 (2020)

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Eric Kim

Freerk Erichsen

Ull Erich

Hauke Erichsen

Gerda Erich

Other publications of authors with the same name

Multidisciplinary Sprint Program Achieved Specialty-Specific EHR Optimization in 20 Clinics.A. Sieja, E. Kim, H. Holmstrom, S. Rotholz, C. Lin, C. Gonzalez, C. Arellano, S. Hutchings, D. Henderson, and K. Markley. Appl. Clin. Inform., 12 (02): 329-339 (2021)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)MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest.S. Gurukar, N. Pancha, A. Zhai, E. Kim, S. Hu, S. Parthasarathy, C. Rosenberg, and J. Leskovec. Proc. VLDB Endow., 16 (4): 781-789 (2022)CausalX: Causal eXplanations and Block Multilinear Factor Analysis.M. Vasilescu, E. Kim, and X. Zeng. ICPR, page 10736-10743. IEEE, (2020)Structure and variability in human tongue muscle anatomy.M. Stone, J. Woo, J. Lee, T. Poole, A. Seagraves, M. Chung, E. Kim, E. Murano, J. Prince, and S. Blemker. Comput. methods Biomech. Biomed. Eng. Imaging Vis., 6 (5): 499-507 (2018)Differences between human and machine perception in medical diagnosis.T. Makino, S. Jastrzebski, W. Oleszkiewicz, C. Chacko, R. Ehrenpreis, N. Samreen, C. Chhor, E. Kim, J. Lee, K. Pysarenko and 11 other author(s). CoRR, (2020)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)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)Toward Transformer-Based Object Detection.J. Beal, E. Kim, E. Tzeng, D. Park, A. Zhai, and D. Kislyuk. CoRR, (2020)

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Disambiguation of "Kim, Eric"

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Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.

Please choose a person to relate this publication to

Eric Kim

Freerk Erichsen

Ull Erich

Hauke Erichsen

Gerda Erich

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kim, Eric"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.

Please choose a person to relate this publication to

Eric Kim

Freerk Erichsen

Ull Erich

Hauke Erichsen

Gerda Erich

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
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Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.