Recent advances in data-driven fusion of multi-modal imaging and genomics for precision medicine.
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CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.
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CoRR, 2024
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation.
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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction.
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CoRR, 2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction.
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Broad Learning Enhanced 1H-MRS for Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus.
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Relationship Between Health Status and Physical Fitness of College Students From South China: An Empirical Study by Data Mining Approach.
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