Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Author Oh, Yujin

Showing results 1 to 8 of 8

1
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation

Kim, Boah; Oh, Yujin; Wood, Bradford J.; Summers, Ronald M.; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.91, 2024-01

2
CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation

Oh, Yujin; Ye, Jong Chul, 17th European Conference on Computer Vision (ECCV), pp.627 - 643, SPRINGER INTERNATIONAL PUBLISHING AG, 2022-10

3
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

Oh, Yujin; Park, Sangjoon; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.39, no.8, pp.2688 - 2700, 2020-08

4
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation

Kim, Boah; Oh, Yujin; Ye, Jong Chul, The Eleventh International Conference on Learning Representations, ICLR 2023, The International Conference on Learning Representations, 2023-05

5
Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment

Oh, Yujin; Bae, Go Eun; Kim, Kyung-Hee; Yeo, Min-Kyung; Ye, Jong Chul, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, v.27, no.8, pp.4143 - 4153, 2023-08

6
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification

Park, Sangjoon; Kim, Gwanghyun; Oh, Yujin; Seo, Joon Beom; Lee, Sang Min; Kim, Jin Hwan; Moon, Sungjun; et al, MEDICAL IMAGE ANALYSIS, v.75, 2022-01

7
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation

Ye, Jong Chul; Kim, kwanyoung; Oh, Yujin, The 18th European Conference on Computer Vision, ECCV 2024, European Computer Vision Association (ECVA), 2024-10

8
Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

Park, Sangjoon; Kim, Gwanghyun; Oh, Yujin; Seo, Joon Beom; Lee, Sang Min; Kim, Jin Hwan; Moon, Sungjun; et al, NATURE COMMUNICATIONS, v.13, no.1, 2022-07

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