Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
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A Crawling Review of Fruit Tree Image Segmentation
Oh, I. S. & Lee, J. S., 2025.11, In: Agriculture (Switzerland). 15, 21, 2239.Research output: Contribution to journal › Review article › peer-review
Open Access -
Cross-channel feature transfer 3D U-Net for automatic segmentation of the perilymph and endolymph fluid spaces in hydrops MRI
Yoo, T. W., Yeo, C. D., Lee, E. J. & Oh, I. S., 2025.10, In: Computers in Biology and Medicine. 197, 111039.Research output: Contribution to journal › Journal article › peer-review
Open Access -
Gripping Success Metric for Robotic Fruit Harvesting
Seo, D. & Oh, I. S., 2025.01, In: Sensors. 25, 1, 181.Research output: Contribution to journal › Journal article › peer-review
Open Access7 Link opens in a new tab Scopus citations -
Multi-Species Fruit-Load Estimation Using Deep Learning Models
Yoo, T. W. & Oh, I. S., 2025.07, In: AgriEngineering. 7, 7, 220.Research output: Contribution to journal › Journal article › peer-review
Open Access -
RAMIS: Increasing robustness and accuracy in medical image segmentation with hybrid CNN-transformer synergy
Gu, J., Tian, F. & Oh, I. S., 2025.02.14, In: Neurocomputing. 618, 129009.Research output: Contribution to journal › Journal article › peer-review
7 Link opens in a new tab Scopus citations
Press/Media
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Study Results from Jeonbuk National University Broaden Understanding of Agriculture (A Crawling Review of Fruit Tree Image Segmentation)
25.11.24
1 item of Media coverage
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Study Results from Jeonbuk National University Broaden Understanding of Edema (Cross-channel feature transfer 3D U-Net for automatic segmentation of the perilymph and endolymph fluid spaces in hydrops MRI)
Lee, J. H., Yeo, C. D., Lee, J.-J., Oh, I.-S. & Lee, E. J.
25.09.17
1 item of Media coverage
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New Agriculture Study Findings Reported from Jeonbuk National University (Multi-Species Fruit-Load Estimation Using Deep Learning Models)
25.08.13
1 item of Media coverage
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Jeonbuk National University Reports Findings in Endolymphatic Hydrops (Automated volumetric analysis of the inner ear fluid space from hydrops magnetic resonance imaging using 3D neural networks)
Lee, J., Yeo, C., Lee, J., Oh, I. & Lee, E.
24.11.4
1 item of Media coverage
Press/Media