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Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains.

, , , , and . Medical Image Anal., (2020)

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Addressing catastrophic forgetting for medical domain expansion., , , , , , , , , and 6 other author(s). CoRR, (2021)Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis., , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (8): 4990-5001 (August 2023)Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI., , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 786-794. Springer, (2019)Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding., , , , , , and . CoRR, (2024)Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging., , , , , , , and . CoRR, (2022)MCDNet: An Infrared Small Target Detection Network Using Multi-Criteria Decision and Adaptive Labeling Strategy., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2024)Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI., , , , , , , , , and 2 other author(s). CoRR, (2022)Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging., , , and . CoRR, (2021)A hand pose tracking benchmark from stereo matching., , , , , and . ICIP, page 982-986. IEEE, (2017)Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains., , , , and . Medical Image Anal., (2020)