Yongwon Cho

21 papers C 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep learning models for diagnosing mood disorders using integrated MRI and genetic data.
PeerJ Comput. Sci.
Ahsan Aziz, Saelin Oh, Yuyoung Ji, Yunyoung Nam, Byung-Joo Ham, Yongwon Cho
2026 J jnl
Feature Fusion and Explainable Deep Learning Framework for Intelligent Skin Disease Classification Using Clinical Dermatology Images.
Int. J. Comput. Intell. Syst.
Muhammad Shafiq, Najia Saher, Bayan Alabdullah, Faisal Shahzad, Muhammad Umer, Khaled Alnowaiser, Yunyoung Nam, Yongwon Cho
2025 J jnl
CORTEX: Composite Overlay for Risk Tiering and Exposure in Operational AI Systems.
CoRR
Aoun E. Muhammad, Kin Choong Yow, Jamel Baili, Yongwon Cho, Yunyoung Nam
2025 J jnl
Deep learning-based automated guide for defining a standard imaging plane for developmental dysplasia of the hip screening using ultrasonography: a retrospective imaging analysis.
BMC Medical Informatics Decis. Mak.
Kyung-Sik Ahn, Ji Hye Choi, Heejou Kwon, Seoyeon Lee, Yongwon Cho, Woo Young Jang
2024 J jnl
Adaptive dynamic inference for few-shot left atrium segmentation.
Medical Image Anal.
Jun Chen, Xuejiao Li, Heye Zhang, Yongwon Cho, Sung Ho Hwang, Zhifan Gao, Guang Yang
2024 J jnl
Correction: Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images.
BMC Medical Informatics Decis. Mak.
Junhu Tai, Munsoo Han, Bo Yoon Choi, Sung Hoon Kang, Hyeongeun Kim, Jiwon Kwak, Dabin Lee, Taehoon Lee, Yongwon Cho, Tae Hoon Kim
2024 J jnl
Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images.
BMC Medical Informatics Decis. Mak.
Junhu Tai, Munsoo Han, Bo Yoon Choi, Sung Hoon Kang, Hyeongeun Kim, Jiwon Kwak, Dabin Lee, Taehoon Lee, Yongwon Cho, Tae Hoon Kim
2024 J jnl
Hierarchical Relational Inference for Few-Shot Learning in 3D Left Atrial Segmentation.
IEEE Trans. Emerg. Top. Comput. Intell.
Xuejiao Li, Jun Chen, Heye Zhang, Yongwon Cho, Sung Ho Hwang, Zhifan Gao, Guang Yang
2023 — conf
Multi-input Vision Transformer with Similarity Matching.
PRIME@MICCAI
Seungeun Lee, Sung Ho Hwang, Saelin Oh, Beom Jin Park, Yongwon Cho
2023 J jnl
Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images.
Int. J. Imaging Syst. Technol.
Heewon Yoon, Yongwon Cho, Kyung-Sik Ahn, Hee-Gone Lee, Chang Ho Kang, Beom Jin Park
2022 J jnl
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.
Yongwon Cho, Yeo Eun Han, Min Ju Kim, Beom Jin Park, Ki Choon Sim, Deuk Jae Sung, Na Yeon Han, Yang Shin Park
2021 J jnl
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
Yongwon Cho, Min Ju Kim, Beom Jin Park, Ki Choon Sim, Yeom Suk Keu, Yeo Eun Han, Deuk Jae Sung, Na Yeon Han
2021 J jnl
Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks.
Int. J. Imaging Syst. Technol.
Yongwon Cho, Sang Min Lee, Young-Hoon Cho, June-Goo Lee, BeomHee Park, Gaeun Lee, Namkug Kim, Joon Beom Seo
2021 J jnl
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.
Yongwon Cho, Sung Ho Hwang, Yu-Whan Oh, Byung-Joo Ham, Min Ju Kim, Beom Jin Park
2021 J jnl
Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs.
Comput. Biol. Medicine
Yongwon Cho, BeomHee Park, Sang Min Lee, Kyung Hee Lee, Joon Beom Seo, Namkug Kim
2020 J jnl
Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room.
Comput. Methods Programs Biomed.
Areum Lee, Yongwon Cho, Seongho Jin, Namkug Kim
2020 J jnl
Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets.
J. Digit. Imaging
Jongha Park, Jihye Yun, Namkug Kim, BeomHee Park, Yongwon Cho, Hee Jun Park, Mijeong Song, Minho Lee, Joon Beom Seo
2020 J jnl
Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network.
Comput. Methods Programs Biomed.
Hyun-Jin Bae, Heejung Hyun, Younghwa Byeon, Keewon Shin, Yongwon Cho, Young Ji Song, Seong Yi, Sung-Uk Kuh, Jin S. Yeom, Namkug Kim
2019 C conf
A study on the Factors Affecting Continuous Usage Intention of Computer Aided Engineering (CAE) Software.
SNPD
Yongwon Cho, Dae-Sik Kim, Huy Tung Phuong, Gwang Yong Gim
2018 J jnl
Enhancement of gesture recognition for contactless interface using a personalized classifier in the operating room.
Comput. Methods Programs Biomed.
Yongwon Cho, Areum Lee, Jongha Park, Bemseok Ko, Namkug Kim
2013 — conf
Video Image Based Hyper Live Spatial Data Construction.
MUSIC
Yongwon Cho, Muwook Pyeon, Daesung Kim, Sujung Moon, Illwoong Jang