Sungheon Gene Kim

According to our database, Sungheon Gene Kim authored at least 15 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI.

Eddy Solomon, Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knoll, Linda Moy, Sungheon Gene Kim, Laura Heacock

CoRR, 2024

2023

Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function.

Jonghyun Bae, Chenyang Li, Arjun V. Masurkar, Yulin Ge, Sungheon Gene Kim

NeuroImage, September, 2023

2021

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

Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

Medical Image Anal., 2021

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.

Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras

J. Digit. Imaging, 2021

A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction.

Zhengnan Huang, Jonghyun Bae, Patricia M. Johnson, Terlika Sood, Laura Heacock, Justin Fogarty, Linda Moy, Sungheon Gene Kim, Florian Knoll

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

2020

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

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

IEEE Trans. Medical Imaging, 2020

Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms.

Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras

CoRR, 2020

2019

Improving localization-based approaches for breast cancer screening exam classification.

Thibault Févry, Jason Phang, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

CoRR, 2019

Screening Mammogram Classification with Prior Exams.

Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

CoRR, 2019

Globally-Aware Multiple Instance Classifier for Breast Cancer Screening.

Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Breast Density Classification with Deep Convolutional Neural Networks.

Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks.

Krzysztof J. Geras, Stacey Wolfson, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho

CoRR, 2017

2016

In vivo quantification of demyelination and recovery using compartment-specific diffusion MRI metrics validated by electron microscopy.

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

NeuroImage, 2016

2009

Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging.

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

NeuroImage, 2009

2004

Application of independent component analysis with mixture density model to localize brain alpha activity in fMRI and EEG.

Jeong-Won Jeong, Tae-Seong Kim, Sungheon Gene Kim, Manbir Singh

Int. J. Imaging Syst. Technol., 2004