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ORCIDMin Ju Kim
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Journal Articles
- 2023
[j8]Hyun Kim
, Pukyeong Seo, Min Ju Kim, Jun Il Huh, Jun-Sang Sunwoo, Kwang Su Cha, El Jeong, Han-Joon Kim, Ki-Young Jung, Kyung Hwan Kim:
Characterization of attentional event-related potential from REM sleep behavior disorder patients based on explainable machine learning. Comput. Methods Programs Biomed. 234: 107496 (2023)- [j7]Younggi Hong, Min Ju Kim, Isack Lee, Seok Bong Yoo:
Fluxformer: Flow-Guided Duplex Attention Transformer via Spatio-Temporal Clustering for Action Recognition. IEEE Robotics Autom. Lett. 8(10): 6411-6418 (2023) - 2022
- [j6]Yongwon Cho, Yeo Eun Han, Min Ju Kim, Beom Jin Park, Ki Choon Sim, Deuk Jae Sung, Na Yeon Han, Yang Shin Park:
Computer-aided hepatocellular carcinoma detection on the hepatobiliary phase of gadoxetic acid-enhanced magnetic resonance imaging using a convolutional neural network: Feasibility evaluation with multi-sequence data. Comput. Methods Programs Biomed. 225: 107032 (2022) - 2021
- [j5]Yongwon Cho, Sung Ho Hwang, Yu-Whan Oh, Byung-Joo Ham, Min Ju Kim, Beom Jin Park:
Deep convolution neural networks to differentiate between COVID-19 and other pulmonary abnormalities on chest radiographs: Evaluation using internal and external datasets. Int. J. Imaging Syst. Technol. 31(3): 1087-1104 (2021) - [j4]Yongwon Cho, Min Ju Kim, Beom Jin Park, Ki Choon Sim, Yeom Suk Keu, Yeo Eun Han, Deuk Jae Sung, Na Yeon Han:
Active Learning for Efficient Segmentation of Liver with Convolutional Neural Network-Corrected Labeling in Magnetic Resonance Imaging-Derived Proton Density Fat Fraction. J. Digit. Imaging 34(5): 1225-1236 (2021) - 2019
- [j3]Joohyung Lee, Ji Eun Oh, Min Ju Kim, Bo Yun Hur, Dae Kyung Sohn:
Reducing the Model Variance of a Rectal Cancer Segmentation Network. IEEE Access 7: 182725-182733 (2019) - [j2]Jongin Kim, Ji Eun Oh, Joohyung Lee, Min Ju Kim, Bo Yun Hur, Dae Kyung Sohn, Boreom Lee:
Rectal cancer: Toward fully automatic discrimination of T2 and T3 rectal cancers using deep convolutional neural network. Int. J. Imaging Syst. Technol. 29(3): 247-259 (2019) - [j1]Kamrul H. Foysal, Sung Eun Seo, Min Ju Kim, Oh Seok Kwon, Jo Woon Chong:
Analyte Quantity Detection from Lateral Flow Assay Using a Smartphone. Sensors 19(21): 4812 (2019)
Conference and Workshop Papers
- 2024
- [c2]Min Hyuk Kim, Min Ju Kim, Seok Bong Yoo:
Occluded Part-aware Graph Convolutional Networks for Skeleton-based Action Recognition. ICRA 2024: 7310-7317 - [c1]Seung Hyun Oh, Changhyeon Lee, Hee Tae Kim, Jeong Ik Park, Min Ju Kim, Se Jun Park, Sung Gap Im, Sung Haeng Cho, Byung Jin Cho:
Overcoming Performance Limitation of IGZO FET by iCVD Fluorine Doping. VLSI Technology and Circuits 2024: 1-2
Informal and Other Publications
- 2019
- [i1]Joohyung Lee, Ji Eun Oh, Min Ju Kim, Bo Yun Hur, Sun Ah Cho, Dae Kyung Sohn:
Multi-Task Learning with a Fully Convolutional Network for Rectum and Rectal Cancer Segmentation. CoRR abs/1901.07213 (2019)
Coauthor Index
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