Video Image Based Hyper Live Spatial Data Construction. - Yongwon Cho; Muwook Pyeon; Daesung Kim; Sujung Moon; Illwoong Jang (MUSIC, 2013)

Enhancement of gesture recognition for contactless interface using a personalized classifier in the operating room. - Yongwon Cho; Areum Lee; Jongha Park; Bemseok Ko; Namkug Kim (Comput. Methods Programs Biomed., 2018)

A study on the Factors Affecting Continuous Usage Intention of Computer Aided Engineering (CAE) Software. - Yongwon Cho; Dae-Sik Kim; Huy Tung Phuong; Gwang Yong Gim (SNPD, 2019)

Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network. - Hyun-Jin Bae; Heejung Hyun; Younghwa Byeon; Keewon Shin; Yongwon Cho; Young Ji Song; Seong Yi; Sung-Uk Kuh; Jin S. Yeom; Namkug Kim (Comput. Methods Programs Biomed., 2020)

Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room. - Areum Lee; Yongwon Cho; Seongho Jin; Namkug Kim (Comput. Methods Programs Biomed., 2020)

Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets. - Jongha Park; Jihye Yun; Namkug Kim; BeomHee Park; Yongwon Cho; Hee Jun Park; Mijeong Song; Minho Lee; Joon Beom Seo (J. Digit. Imaging, 2020)

Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs. - Yongwon Cho; BeomHee Park; Sang Min Lee 013; Kyung Hee Lee; Joon Beom Seo; Namkug Kim (Comput. Biol. Medicine, 2021)

Deep convolution neural networks to differentiate between COVID-19 and other pulmonary abnormalities on chest radiographs: Evaluation using internal and external datasets. - Yongwon Cho; Sung Ho Hwang; Yu-Whan Oh; Byung-Joo Ham; Min Ju Kim; Beom Jin Park (Int. J. Imaging Syst. Technol., 2021)

Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks. - Yongwon Cho; Sang Min Lee 013; Young-Hoon Cho; June-Goo Lee; BeomHee Park; Gaeun Lee; Namkug Kim; Joon Beom Seo (Int. J. Imaging Syst. Technol., 2021)

Active Learning for Efficient Segmentation of Liver with Convolutional Neural Network-Corrected Labeling in Magnetic Resonance Imaging-Derived Proton Density Fat Fraction. - Yongwon Cho; Min Ju Kim; Beom Jin Park; Ki Choon Sim; Yeom Suk Keu; Yeo Eun Han; Deuk Jae Sung; Na Yeon Han (J. Digit. Imaging, 2021)

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. - Yongwon Cho; Yeo Eun Han; Min Ju Kim; Beom Jin Park; Ki Choon Sim; Deuk Jae Sung; Na Yeon Han; Yang Shin Park (Comput. Methods Programs Biomed., 2022)

Multi-input Vision Transformer with Similarity Matching. - Seungeun Lee; Sung Ho Hwang; Saelin Oh; Beom Jin Park; Yongwon Cho (PRIME@MICCAI, 2023)

Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images. - Heewon Yoon; Yongwon Cho; Kyung-Sik Ahn; Hee-Gone Lee; Chang Ho Kang; Beom Jin Park (Int. J. Imaging Syst. Technol., 2023)

Adaptive dynamic inference for few-shot left atrium segmentation. - Jun Chen; Xuejiao Li; Heye Zhang; Yongwon Cho; Sung Ho Hwang; Zhifan Gao; Guang Yang 006 (Medical Image Anal., 2024)

Hierarchical Relational Inference for Few-Shot Learning in 3D Left Atrial Segmentation. - Xuejiao Li; Jun Chen; Heye Zhang; Yongwon Cho; Sung Ho Hwang; Zhifan Gao; Guang Yang 006 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images. - Junhu Tai; Munsoo Han; Bo Yoon Choi; Sung Hoon Kang; Hyeongeun Kim; Jiwon Kwak; Dabin Lee; TaeHoon Lee; Yongwon Cho; Tae Hoon Kim (BMC Medical Informatics Decis. Mak., 2024)

Correction: Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images. - Junhu Tai; Munsoo Han; Bo Yoon Choi; Sung Hoon Kang; Hyeongeun Kim; Jiwon Kwak; Dabin Lee; TaeHoon Lee; Yongwon Cho; Tae Hoon Kim (BMC Medical Informatics Decis. Mak., 2024)

Deep learning-based automated guide for defining a standard imaging plane for developmental dysplasia of the hip screening using ultrasonography: a retrospective imaging analysis. - Kyung-Sik Ahn; Ji Hye Choi; Heejou Kwon; Seoyeon Lee; Yongwon Cho; Woo Young Jang (BMC Medical Informatics Decis. Mak., 2025)