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Sungheon Gene Kim
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2020 – today
- 2023
- [j7]Jonghyun Bae
, Chenyang Li
, Arjun V. Masurkar, Yulin Ge
, Sungheon Gene Kim:
Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function. NeuroImage 278: 120284 (2023) - 2021
- [j6]Nan Wu
, Zhe Huang, Yiqiu Shen
, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy
, Krzysztof J. Geras:
Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. J. Digit. Imaging 34(6): 1414-1423 (2021) - [j5]Yiqiu Shen
, Nan Wu
, Jason Phang
, Jungkyu Park
, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim
, Linda Moy
, Kyunghyun Cho, Krzysztof J. Geras:
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. Medical Image Anal. 68: 101908 (2021) - [c3]Zhengnan Huang, Jonghyun Bae, Patricia M. Johnson, Terlika Sood, Laura Heacock, Justin Fogarty, Linda Moy, Sungheon Gene Kim, Florian Knoll:
A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction. MLMIR@MICCAI 2021: 45-53 - 2020
- [j4]Nan Wu
, Jason Phang
, Jungkyu Park
, Yiqiu Shen
, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Févry, Joe Katsnelson, Eric Kim
, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig
, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin
, Jiyon Lee
, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, Sungheon Gene Kim
, Laura Heacock
, Linda Moy
, Kyunghyun Cho, Krzysztof J. Geras
:
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. IEEE Trans. Medical Imaging 39(4): 1184-1194 (2020) - [i8]Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park
, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy
, Kyunghyun Cho, Krzysztof J. Geras:
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. CoRR abs/2002.07613 (2020) - [i7]Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park
, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy
, Krzysztof J. Geras:
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. CoRR abs/2009.09282 (2020)
2010 – 2019
- 2019
- [c2]Yiqiu Shen
, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy
, Kyunghyun Cho, Krzysztof J. Geras:
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. MLMI@MICCAI 2019: 18-26 - [i6]Nan Wu, Jason Phang, Jungkyu Park
, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, Sungheon Gene Kim, Laura Heacock, Linda Moy
, Kyunghyun Cho, Krzysztof J. Geras:
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. CoRR abs/1903.08297 (2019) - [i5]Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy
, Kyunghyun Cho, Krzysztof J. Geras:
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. CoRR abs/1906.02846 (2019) - [i4]Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, Sungheon Gene Kim, Linda Moy
, Kyunghyun Cho, Krzysztof J. Geras:
Screening Mammogram Classification with Prior Exams. CoRR abs/1907.13057 (2019) - [i3]Thibault Févry, Jason Phang, Nan Wu, Sungheon Gene Kim, Linda Moy
, Kyunghyun Cho, Krzysztof J. Geras:
Improving localization-based approaches for breast cancer screening exam classification. CoRR abs/1908.00615 (2019) - 2018
- [c1]Nan Wu, Krzysztof J. Geras, Yiqiu Shen
, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho:
Breast Density Classification with Deep Convolutional Neural Networks. ICASSP 2018: 6682-6686 - 2017
- [i2]Krzysztof J. Geras, Stacey Wolfson, Sungheon Gene Kim, Linda Moy
, Kyunghyun Cho:
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks. CoRR abs/1703.07047 (2017) - [i1]Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy
, Kyunghyun Cho:
Breast density classification with deep convolutional neural networks. CoRR abs/1711.03674 (2017) - 2016
- [j3]Ileana O. Jelescu
, Magdalena Zurek, Kerryanne V. Winters, Jelle Veraart
, Anjali Rajaratnam, Nathanael S. Kim, James S. Babb
, Timothy M. Shepherd, Dmitry S. Novikov
, Sungheon Gene Kim
, Els Fieremans
:
In vivo quantification of demyelination and recovery using compartment-specific diffusion MRI metrics validated by electron microscopy. NeuroImage 132: 104-114 (2016)
2000 – 2009
- 2009
- [j2]Sumei Wang, Sungheon Gene Kim
, Sanjeev Chawla
, Ronald L. Wolf, Wei-Guo Zhang, Donald M. O'Rourke
, Kevin D. Judy, Elias R. Melhem, Harish Poptani
:
Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging. NeuroImage 44(3): 653-660 (2009) - 2004
- [j1]Jeong-Won Jeong, Tae-Seong Kim, Sungheon Gene Kim, Manbir Singh:
Application of independent component analysis with mixture density model to localize brain alpha activity in fMRI and EEG. Int. J. Imaging Syst. Technol. 14(4): 170-180 (2004)
Coauthor Index
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