Publications by authors named "Taesup Moon"

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Efficient and Robust SEM Image Denoising for Wafer Defect Inspection.
Hyunwoong Bae, Jaeseok Byun, Yongwoo Lee, Taesup Moon

Microsc Microanal· September 2025

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FairDRO: Group fairness regularization via classwise robust optimization.
Taeeon Park, Sangwon Jung, Sanghyuk Chun, Taesup Moon

Neural Netw· February 2025

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Predicting task-related brain activity from resting-state brain dynamics with fMRI Transformer.
Junbeom Kwon, Jungwoo Seo, Heehwan Wang, Taesup Moon, Shinjae Yoo

Imaging Neurosci (Camb)· January 2025

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Interpretable deep learning-based hippocampal sclerosis classification.
Dohyun Kim, Jungtae Lee, Jangsup Moon, Taesup Moon

Epilepsia Open· December 2022

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Is the posterior cingulate cortex an on-off switch for tinnitus?: A comparison between hearing loss subjects with and without tinnitus.
Sang-Yeon Lee, Munyoung Chang, Byungjoon Kwon, Byung Yoon Choi, Ja-Won Koo, Taesup Moon

Hear Res· November 2021

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Toward a unified framework for interpreting machine-learning models in neuroimaging.
Lada Kohoutová, Juyeon Heo, Sungmin Cha, Sungwoo Lee, Taesup Moon

Nat Protoc· April 2020

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Estimating PM2.5 concentration of the conterminous United States via interpretable convolutional neural networks.
Yongbee Park, Byungjoon Kwon, Juyeon Heo, Xuefei Hu, Yang Liu, Taesup Moon

Environ Pollut· January 2020

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Dynamic functional connectivity analysis reveals improved association between brain networks and eating behaviors compared to static analysis.
Bo-Yong Park, Taesup Moon, Hyunjin Park

Behav Brain Res· January 2018

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DUDE-Seq: Fast, flexible, and robust denoising for targeted amplicon sequencing.
Byunghan Lee, Taesup Moon, Sungroh Yoon, Tsachy Weissman

PLoS One· September 2017

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Micro-Doppler Based Classification of Human Aquatic Activities via Transfer Learning of Convolutional Neural Networks.
Jinhee Park, Rios Jesus Javier, Taesup Moon, Youngwook Kim

Sensors (Basel)· November 2016

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