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Globally-Aware Multiple Instance Classifier for Breast Cancer Screening.

Y. Shen, N. Wu, J. Phang, J. Park, S. Kim, L. Moy, K. Cho, and K. Geras. MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 18-26. Springer, (2019)

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Gene Boychuk

Gene Simat

Gene Zavadzkas

Gene Pang

Gene O Stimpson

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Application of independent component analysis with mixture density model to localize brain alpha activity in fMRI and EEG.J. Jeong, T. Kim, S. Kim, and M. Singh. Int. J. Imaging Syst. Technol., 14 (4): 170-180 (2004)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)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)Improving localization-based approaches for breast cancer screening exam classification.T. Févry, J. Phang, N. Wu, S. Kim, L. Moy, K. Cho, and K. Geras. CoRR, (2019)Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging.S. Wang, S. Kim, S. Chawla, R. Wolf, W. Zhang, D. O'Rourke, K. Judy, E. Melhem, and H. Poptani. NeuroImage, 44 (3): 653-660 (2009)Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function.J. Bae, C. Li, A. Masurkar, Y. Ge, and S. Kim. NeuroImage, (September 2023)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). CoRR, (2019)Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms.N. Wu, Z. Huang, Y. Shen, J. Park, J. Phang, T. Makino, S. Kim, K. Cho, L. Heacock, L. Moy and 1 other author(s). CoRR, (2020)Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.N. Wu, Z. Huang, Y. Shen, J. Park, J. Phang, T. Makino, S. Kim, K. Cho, L. Heacock, L. Moy and 1 other author(s). J. Digit. Imaging, 34 (6): 1414-1423 (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). Medical Image Anal., (2021)

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Disambiguation of "Kim, Sungheon Gene"

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Globally-Aware Multiple Instance Classifier for Breast Cancer Screening.

Please choose a person to relate this publication to

Gene Boychuk

Gene Simat

Gene Zavadzkas

Gene Pang

Gene O Stimpson

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kim, Sungheon Gene"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Globally-Aware Multiple Instance Classifier for Breast Cancer Screening.

Please choose a person to relate this publication to

Gene Boychuk

Gene Simat

Gene Zavadzkas

Gene Pang

Gene O Stimpson

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Globally-Aware Multiple Instance Classifier for Breast Cancer Screening.