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Publication search results
found 34 matches
- 2024
- Eddy Solomon, Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knoll, Linda Moy, Sungheon Gene Kim, Laura Heacock:
fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI. CoRR abs/2406.05270 (2024) - 2023
- 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) - Sungheon Park, Minjung Son, Seokhwan Jang, Young Chun Ahn, Ji-Yeon Kim, Nahyup Kang:
Temporal Interpolation is all You Need for Dynamic Neural Radiance Fields. CVPR 2023: 4212-4221 - Sungheon Park, Minjung Son, Seokhwan Jang, Young Chun Ahn, Ji-Yeon Kim, Nahyup Kang:
Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields. CoRR abs/2302.09311 (2023) - 2022
- Jooyoung Park, Ronald L. Boring, Thomas A. Ulrich, Roger T. Lew, Sungheon Lee, Bumjun Park, Jonghyun Kim:
A framework to collect human reliability analysis data for nuclear power plants using a simplified simulator and student operators. Reliab. Eng. Syst. Saf. 221: 108326 (2022) - Young Chun Ahn, Seokhwan Jang, Sungheon Park, Ji-Yeon Kim, Nahyup Kang:
PANeRF: Pseudo-view Augmentation for Improved Neural Radiance Fields Based on Few-shot Inputs. CoRR abs/2211.12758 (2022) - 2021
- 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) - 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) - Taewon Yang, Bumjun Park, Sungheon Lee, Jeong Hun Choi, Jooyoung Park, Ronald L. Boring, Jonghyun Kim:
Experimental Analysis of the Effects of Simulator Complexity on Human Performance. ICSRS 2021: 85-91 - 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
- 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) - Jooyoung Park, Thomas A. Ulrich, Ronald L. Boring, Sungheon Lee, Jonghyun Kim:
Identification of Collectible Items in the Rancor Microworld Simulator Compared to Full-Scope Studies. AHFE (4) 2020: 362-368 - 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) - 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) - 2019
- Sungheon Lim, Hyogon Kim:
Improving Information Age in SAE J2945 Congestion-Controlled Beaconing. IEEE Commun. Lett. 23(2): 358-361 (2019) - Sungheon Lee, Jonghyun Kim:
Human Factors Engineering Analysis for Human System Interface of Severe Accident Management Support System Based on Human Factors Engineering Program. AHFE (5) 2019: 131-141 - 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 - Sungheon Lim, Hyogon Kim:
Extending TCP for Accelerating Replication on Cluster File Systems over SDNs. NetSoft 2019: 48-53 - 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) - 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) - 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) - 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
- 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 - Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak:
Music Source Separation Using Stacked Hourglass Networks. ISMIR 2018: 289-296 - Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak:
Music Source Separation Using Stacked Hourglass Networks. CoRR abs/1805.08559 (2018) - Sungheon Lim, Hyogon Kim:
Extending TCP for Accelerating Replication on Cluster File Systems over SDNs. CoRR abs/1812.10584 (2018) - 2017
- Sungheo Kim, Kwang-il Hwang:
Design of Real-Time CAN Framework Based on Plug and Play Functionality. J. Inf. Process. Syst. 13(2): 348-359 (2017) - 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) - 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
- 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)
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