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Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation
Combining images from multi-modalities is beneficial to explore various information in computer vision, especially in the medical domain.
Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics
In this work, we proposed an end-to-end deep learning framework, which could predict the coronary artery hemodynamics from CCTA images.
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