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Min Ju Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [c1]Min Hyuk Kim, Min Ju Kim, Seok Bong Yoo:
Occluded Part-aware Graph Convolutional Networks for Skeleton-based Action Recognition. ICRA 2024: 7310-7317 - 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)
2010 – 2019
- 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) - [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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last updated on 2024-08-20 20:32 CEST by the dblp team
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