Sungheon Gene Kim

20 papers Misc 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets. Medical Image Anal. Nicholas Konz, Richard Osuala, Preeti Verma, Yuwen Chen, Hanxue Gu, Haoyu Dong, Yaqian Chen, Andrew Marshall, Lidia Garrucho, Kaisar Kushibar, Daniel Lang, Sungheon Gene Kim, Lars J. Grimm, John Lewin, James S. Duncan, Julia A. Schnabel, Oliver Díaz, Karim Lekadir, Maciej A. Mazurowski
2024	J	`jnl`	fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI. CoRR Eddy Solomon, Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knoll, Linda Moy, Sungheon Gene Kim, Laura Heacock
2023	J	`jnl`	Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function. NeuroImage Jonghyun Bae, Chenyang Li, Arjun V. Masurkar, Yulin Ge, Sungheon Gene Kim
2021	—	`conf`	A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction. MLMIR@MICCAI Zhengnan Huang, Jonghyun Bae, Patricia M. Johnson, Terlika Sood, Laura Heacock, Justin Fogarty, Linda Moy, Sungheon Gene Kim, Florian Knoll
2021	J	`jnl`	An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. Medical Image Anal. Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2021	J	`jnl`	Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. J. Digit. Imaging Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
2020	J	`jnl`	An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. CoRR Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. IEEE Trans. Medical Imaging 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
2020	J	`jnl`	Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. CoRR Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
2019	J	`jnl`	Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. CoRR 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
2019	—	`conf`	Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. MLMI@MICCAI Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	J	`jnl`	Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. CoRR Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	J	`jnl`	Improving localization-based approaches for breast cancer screening exam classification. CoRR Thibault Févry, Jason Phang, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	J	`jnl`	Screening Mammogram Classification with Prior Exams. CoRR Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2018	Misc	`conf`	Breast Density Classification with Deep Convolutional Neural Networks. ICASSP Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho
2017	J	`jnl`	Breast density classification with deep convolutional neural networks. CoRR Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho
2017	J	`jnl`	High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks. CoRR Krzysztof J. Geras, Stacey Wolfson, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho
2016	J	`jnl`	In vivo quantification of demyelination and recovery using compartment-specific diffusion MRI metrics validated by electron microscopy. NeuroImage 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
2009	J	`jnl`	Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging. NeuroImage 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
2004	J	`jnl`	Application of independent component analysis with mixture density model to localize brain alpha activity in fMRI and EEG. Int. J. Imaging Syst. Technol. Jeong-Won Jeong, Tae-Seong Kim, Sungheon Gene Kim, Manbir Singh