International Journal
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F-FDG-PET-based deep learning for predicting cognitive decline in non-demented elderly across the Alzheimer’s disease clinical spectrum, Radiology Advances, 2024
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LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer, MICCAI, 2024
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Deep Learning-Based Amyloid PET Harmonization for Improved Prediction of Cognitive Decline in Non-Demented Elderly, Radiology Advances, 2024
[삼성미래연구 결과물]
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Monolayer, open-mesh, pristine PEDOT:PSS-based conformal brain implants for fully MRI-compatible neural interfaces, Biosensors and Bioelectronics, 2024
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Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales, AAAI, 2024
[삼성미래연구 결과물]
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M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography, MICCAI Challenge on Segmentation of the Aorta, 2023
Best Paper Award (prize)
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Position-Encoded Pixel-to-Prototype Contrastive Learning for Aortic Vessel Tree Segmentation
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Evidence-Empowered Transfer Learning for Alzheimer’s Disease, IEEE, 2023
[삼성미래연구 결과물]
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DiMix: Disentangle-and-Mix Based Domain Generalizable Medical Image Segmentation, MICCAI, 2023
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Deep-Learning-Aided Evaluation of Spondylolysis Imaged with Ultrashort Echo Time Magnetic Resonance Imaging, Sensors, 2023
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Development and validation of a hybrid deep learning–machine learning approach for severity assessment of COVID-19 and other pneumonias, Scientific Reports, 2023
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Weakly Supervised Deep Learning for Diagnosis of Multiple Vertebral Compression Fractures in CT, European Radiology, 2023
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SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Presentation Video (Youtube)]
[삼성미래연구 결과물]
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Deep Learning Referral Suggestion and Tumour Discrimination using Explainable Artificial Intelligence applied to Multiparametric MRI, European Radiology, 2023
