Min Ju Kim

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Active Learning

Convolutional Neural Network

Magnetic Resonance Imaging

Action Recognition

Top Venues

Comput. Methods Programs Biomed.

Int. J. Imaging Syst. Technol.

IEEE Robotics Autom. Lett.

Publications

Min Hyuk Kim, Min Ju Kim, Seok Bong Yoo
Occluded Part-aware Graph Convolutional Networks for Skeleton-based Action Recognition. ICRA (2024)
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) (2023)
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 (2023)
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 (2022)
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) (2021)
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) (2021)
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 (2019)
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 (2019)
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) (2019)
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) (2019)