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Heejoon Koo

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2024
[c1]
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  - conf/eacl/Koo24
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Heejoon Koo:
Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation. EACL (Findings) 2024: 41-55
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  - journals/corr/abs-2401-11648
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Heejoon Koo:
Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation. CoRR abs/2401.11648 (2024)
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  - journals/corr/abs-2407-19540
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Heejoon Koo:
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Knowledge Distillation and Random Data Erasing. CoRR abs/2407.19540 (2024)
2023
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  - journals/access/HanKJPHSJC23
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Kyunghoon Han, Heejoon Koo, Sunghee Jung, Hyung-Bok Park, Youngtaek Hong, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang:
Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks. IEEE Access 11: 86335-86350 (2023)
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  - journals/corr/abs-2306-04139
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Heejoon Koo:
A Survey on Generative Diffusion Models for Structured Data. CoRR abs/2306.04139 (2023)
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  - journals/corr/abs-2311-06031
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Heejoon Koo:
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2311.06031 (2023)

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