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Jungkyu Park 0001
Person information
- affiliation: New York University, School of Medicine, New York, NY, USA
Other persons with the same name
- Jungkyu Park 0002 — Korea National University of Education, Jeon-Buk, South Korea
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2020 – today
- 2024
- [j6]Jungkyu Park
, Jakub Chledowski
An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects. IEEE Trans. Medical Imaging 43(1): 351-365 (2024) - [i10]Umang Sharma, Jungkyu Park, Laura Heacock, Sumit Chopra, Krzysztof J. Geras:
A training regime to learn unified representations from complementary breast imaging modalities. CoRR abs/2408.08560 (2024) - 2023
- [c3]Jakub Chledowski, Jungkyu Park, Krzysztof J. Geras:
Exploring synthesizing 2D mammograms from 3D digital breast tomosynthesis images. DICTA 2023: 562-569 - [i9]Yiqiu Shen, Jungkyu Park, Frank Yeung, Eliana Goldberg, Laura Heacock, Farah Shamout, Krzysztof J. Geras:
Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data. CoRR abs/2311.03217 (2023) - 2022
- [i8]Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras:
3D-GMIC: an efficient deep neural network to find small objects in large 3D images. CoRR abs/2210.08645 (2022) - 2021
- [j5]Nan Wu
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) - [j4]Yiqiu Shen
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. Medical Image Anal. 68: 101908 (2021) - [j3]Jungkyu Park
Lessons from the first DBTex Challenge. Nat. Mach. Intell. 3(8): 735-736 (2021) - [j2]Farah E. Shamout, Yiqiu Shen
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine 4 (2021) - 2020
- [j1]Nan Wu
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. IEEE Trans. Medical Imaging 39(4): 1184-1194 (2020) - [c2]Nan Wu, Stanislaw Jastrzebski, Jungkyu Park, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras:
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening. MIDL 2020: 827-842 - [i7]Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. CoRR abs/2002.07613 (2020) - [i6]Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Duo Wang, Ben Zhang
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR abs/2008.01774 (2020) - [i5]Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. CoRR abs/2009.09282 (2020) - [i4]Jason Phang, Jungkyu Park
Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability. CoRR abs/2010.09750 (2020)
2010 – 2019
- 2019
- [c1]Yiqiu Shen
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. MLMI@MICCAI 2019: 18-26 - [i3]Nan Wu, Jason Phang, Jungkyu Park
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. CoRR abs/1903.08297 (2019) - [i2]Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. CoRR abs/1906.02846 (2019) - [i1]Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, Sungheon Gene Kim, Linda Moy
Screening Mammogram Classification with Prior Exams. CoRR abs/1907.13057 (2019)
Coauthor Index
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