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Jaeyoung Chun

Yonsei University - Gangnam Severance Hospital

Seoul

Korea, Republic of (South Korea)

  • Yonsei University - Gangnam Severance Hospital

SCHOLARLY PAPERS

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102

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Scholarly Papers (2)

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1.

Enhancing Diagnosticconfidence and Accuracy in the Optical Diagnosis of Colorectal Polyps Using an Uncertainty-Aware Vision Transformer

Number of pages: 21 Posted: 15 Mar 2024
Youngwan Lee, Sangrok Lee, Eunhyo Jin, Dongheon Lee, Ji Young Lee, Jaeyoung Chun, Ji Young Chang, Hae Yeon Kang, Sun Young Yang, Seon Hee Lim, Goh Eun Chung, Su Jin Chung, Ji Min Choi and Yoo Min Han
Electronics and Telecommunications Research Institute, ModuLab, Seoul National University, Chungnam National University, University of Ulsan - Asan Medical Center, Yonsei University - Gangnam Severance Hospital, Ewha Womans University, Seoul National University, Seoul National University, Seoul National University, Seoul National University, Seoul National University, Seoul National University and Seoul National University
Downloads 59 (970,490)
Citation 56

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optical diagnosis, colorectal cancer, vision transformer, uncertainty quantification, bayesian deep learning

2.

Impact of Uncertainty-Aware Ai on Optical Diagnosis of Colorectal Polyps: Enhancing Accuracy and Confidence of Expert-Level Endoscopists

Number of pages: 26 Posted: 05 Aug 2025
Youngwan Lee, Sangrok Lee, Eunhyo Jin, Dongheon Lee, Ji Young Lee, Jaeyoung Chun, Ji Young Chang, Hae Yeon Kang, Sun Young Yang, Seon Hee Lim, Goh Eun Chung, Su Jin Chung, Ji Min Choi and Yoo Min Han
Electronics and Telecommunications Research Institute, ModuLab, Seoul National University, Chungnam National University, University of Ulsan - Asan Medical Center, Yonsei University - Gangnam Severance Hospital, Ewha Womans University, Seoul National University, Seoul National University, Seoul National University, Seoul National University, Seoul National University, Seoul National University and Seoul National University
Downloads 43 (1,145,425)

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Optical diagnosis, Colorectal cancer, Uncertainty quantification, Bayesian deep learning, Vision transformer