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ORCIDJae Won Choi
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Journal Articles
- 2024
[j7]Jaekak Yoo
, Jae Won Choi, Eunha Kim, Eun-Jung Park, Ahruem Baek, Jaeseok Kim, Mun Seok Jeong, Youngwoo Cho, Tae Geol Lee, Min Beom Heo:
Evaluating cell growth and hypoxic regions of 3D spheroids via a machine learning approach. Mach. Learn. Sci. Technol. 5(3): 35063 (2024)- 2023
- [j6]Youngkeun Choi, Jae Won Choi:
Assessing the Predictive Performance of Machine Learning in Direct Marketing Response. Int. J. E Bus. Res. 19(1): 1-12 (2023) - [j5]Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83: 102628 (2023) - 2022
- [j4]Jae Won Choi, Aseem Vivek Borkar, Andrew C. Singer, Girish Chowdhary:
Broadband Acoustic Communication Aided Underwater Inertial Navigation System. IEEE Robotics Autom. Lett. 7(2): 5198-5205 (2022) - [j3]Jae Won Choi, Dong Hyun Kim, Dae Lim Koo, Yangmi Park, Hyunwoo Nam, Ji Hyun Lee, Hyo Jin Kim, Seung-No Hong, Gwangsoo Jang, Sungmook Lim, Baekhyun Kim:
Automated Detection of Sleep Apnea-Hypopnea Events Based on 60 GHz Frequency-Modulated Continuous-Wave Radar Using Convolutional Recurrent Neural Networks: A Preliminary Report of a Prospective Cohort Study. Sensors 22(19): 7177 (2022) - 2021
- [j2]Youngkeun Choi, Jae Won Choi:
The Prediction of Venture Capitalists' Investment Propensity Using Machine Learning. Int. J. E Entrepreneurship Innov. 11(2): 18-31 (2021) - [j1]Subin Park, Heejae Jung, Jae Won Choi, Jihyeon Park, Joonyoung Jun, Minki Chun, Hyunggu Jung:
Exploring the Experiences of Student Volunteer and Student Volunteer Chair Communities at Academic Conferences. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 455:1-455:23 (2021)
Conference and Workshop Papers
- 2024
- [c6]Jae Won Choi, Yuzhou Chen, José Frías, Joel Chacón Castillo, Yulia R. Gel:
Revisiting Link Prediction with the Dowker Complex. PAKDD (2) 2024: 418-430 - 2022
- [c5]Jae Won Choi:
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-supervised Abdominal Organ Segmentation in CT. FLARE@MICCAI 2022: 101-115 - 2021
- [c4]Jae Won Choi, Jeffrey Ludwig, Andrew C. Singer:
Online Segmented Recursive Least Squares (OSRLS). ACSCC 2021: 1330-1334 - [c3]Jae Won Choi:
Using Out-of-the-Box Frameworks for Contrastive Unpaired Image Translation for Vestibular Schwannoma and Cochlea Segmentation: An Approach for the CrossMoDA Challenge. BrainLes@MICCAI (2) 2021: 509-517 - 2011
- [c2]Shinsuke Akabane, Johnson Leu, Hiromi Iwadate, Jae Won Choi, Chin Ching Chang, Saori Nakayama, Madoka Terasaki, Hala Eldemellawy, Masa Inakage, Susumu Furukawa:
Puchi Planet: a tangible interface design for hospitalized children. CHI Extended Abstracts 2011: 1345-1350 - 2010
- [c1]Shinsuke Akabane, Johnson Leu, Ruri Araki, Jae Won Choi, Emily Chang, Saori Nakayama, Hayato Shibahara, Madoka Terasaki, Susumu Furukawa, Masa Inakage:
ZOOTOPIA: a tangible and accessible zoo for hospitalized children. SIGGRAPH ASIA (Posters) 2010: 31:1
Data and Artifacts
- 2024
- [d1]Yuzhou Chen, Nicholas LaHaye, Jae Won Choi, Zhiwei Zhen, Philip E. Davis, Huikyo Lee, Manish Parashar, Yulia R. Gel:
Fire-D: Analysis and ML-Ready NASA-Centric Remote Sensing of Wildfire and Smoke. Zenodo, 2024
Informal and Other Publications
- 2025
- [i5]Vladyslav Zalevskyi, Thomas Sanchez, Misha P. T. Kaandorp, Margaux Roulet, Diego Fajardo Rojas, Liu Li, Jana Hutter, Hongwei Bran Li, Matthew Barkovich, Hui Ji, Luca Wilhelmi, Aline Dändliker, Céline Steger, Mériam Koob, Yvan Gomez, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Milan Rados, Jordina Aviles Verdera, Gregor Kasprian, Gregor Dovjak, Raphael Gaubert-Rachmühl, Maurice Aschwanden, Qi Zeng, Davood Karimi, Denis Peruzzo, Tommaso Ciceri, Giorgio Longari, Rachika E. Hamadache, Amina Bouzid, Xavier Lladó, Simone Chiarella, Gerard Martí-Juan, Miguel Ángel González Ballester, Marco Castellaro, Marco Pinamonti, Valentina Visani, Robin Cremese, Keïn Sam, Fleur Gaudfernau, Param Ahir, Mehul Parikh, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein, Li Tianhong, Yang Hong, Zhao Longfei, Domen Preloznik, Ziga Spiclin, Jae Won Choi, Muyang Li, Jia Fu, Guotai Wang, Jingwen Jiang, Lyuyang Tong, Bo Du, Andrea Gondova, Sungmin You, Kiho Im, Abdul Qayyum, Moona Mazher, Steven A. Niederer, András Jakab, Roxane Licandro, Kelly Payette, Meritxell Bach Cuadra:
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. CoRR abs/2505.02784 (2025) - 2023
- [i4]Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Shihao Ma, Adamo Young, Cheng Zhu, Kangkang Meng, Xin Yang, Ziyan Huang, Fan Zhang, Wentao Liu, YuanKe Pan, Shoujin Huang, Jiacheng Wang, Mingze Sun, Weixin Xu, Dengqiang Jia, Jae Won Choi, Natália Alves, Bram De Wilde, Gregor Köhler, Yajun Wu, Manuel Wiesenfarth, Qiongjie Zhu, Guoqiang Dong, Jian He, the FLARE Challenge Consortium, Bo Wang:
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge. CoRR abs/2308.05862 (2023) - 2022
- [i3]Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR abs/2201.02831 (2022) - [i2]Jae Won Choi:
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CT. CoRR abs/2211.05942 (2022) - 2021
- [i1]Jae Won Choi:
Using Out-of-the-Box Frameworks for Contrastive Unpaired Image Translation for Vestibular Schwannoma and Cochlea Segmentation: An approach for the crossMoDA Challenge. CoRR abs/2110.01607 (2021)
Coauthor Index
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