Deep semi-supervised learning for automatic segmentation of inferior alveolar nerve using a convolutional neural network
2021 · BMC Oral Health · 39 citations
https://doi.org/10.1186/s12903-021-01983-5
Y
Yongwon Cho
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
101
Papers
1.5K
Citations
20
h-index
28
i10-index
Yongwon Cho is an academic researcher from Soonchunhyang University. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & COVID-19 diagnosis using AI & AI in cancer detection. The author has an h-index of 20, co-authored 86 publications.
ORCID: 0000-0001-8092-5799Papers by this author
worksA Curriculum Learning Strategy to Enhance the Accuracy of Classification of Various Lesions in Chest-PA X-ray Screening for Pulmonary Abnormalities
2019 · Scientific Reports · 29 citations
https://doi.org/10.1038/s41598-019-51832-3
A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides
2019 · Scientific Reports · 26 citations
https://doi.org/10.1038/s41598-019-41479-5
Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net
2019 · Scientific Reports · 20 citations
https://doi.org/10.1038/s41598-019-55373-7
Multimodal integration of neuroimaging and genetic data for the diagnosis of mood disorders based on computer vision models
2024 · Journal of Psychiatric Research · 14 citations
https://doi.org/10.1016/j.jpsychires.2024.02.036
Reproducibility of abnormality detection on chest radiographs using convolutional neural network in paired radiographs obtained within a short-term interval
2020 · Scientific Reports · 13 citations
https://doi.org/10.1038/s41598-020-74626-4
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat