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ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts


Jan 28, 2023
Kwanyoung Kim, Yujin Oh, Jong Chul Ye

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* 16pages, 9 figures 

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Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation


Sep 29, 2022
Boah Kim, Yujin Oh, Jong Chul Ye

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A hybrid 2-stage vision transformer for AI-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies


Feb 17, 2022
Yujin Oh, Go Eun Bae, Kyung-Hee Kim, Min-Kyung Yeo, Jong Chul Ye

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AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation


Feb 13, 2022
Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Chang Min Park, Jong Chul Ye

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* 24 pages 

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Unifying domain adaptation and self-supervised learning for CXR segmentation via AdaIN-based knowledge distillation


Apr 23, 2021
Yujin Oh, Jong Chul Ye

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Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification


Apr 15, 2021
Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye

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* 13 pages 

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Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer


Mar 12, 2021
Gwanghyun Kim, Sangjoon Park, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye

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* 8 pages 

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Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus


Mar 12, 2021
Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye

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* 10 pages 

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Deep Learning COVID-19 Features on CXR using Limited Training Data Sets


May 05, 2020
Yujin Oh, Sangjoon Park, Jong Chul Ye

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* Accepted for IEEE Trans. on Medical Imaging Special Issue on Imaging-based Diagnosis of COVID-19 

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