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Deep k-Space Partition-Based Convolutional Networks for Fast Multimodal MRI Reconstruction.

, , , , and . BIBM, page 1280-1285. IEEE, (2023)

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Towards Interpretable Feature Representation for Domain Adaptation Problem., , , and . ICTAI, page 61-68. IEEE, (2022)Fast MRI Reconstruction via Boosting Filter Diversity of Deep Cascading Networks., , , , and . BIBM, page 2421-2426. IEEE, (2023)Accelerating Deeply Cascaded Convolutional Networks for MRI Reconstruction via Pixel-Unshuffle Caused Feature Squeezing., , , , and . BIBM, page 1505-1510. IEEE, (2022)Joint Feature Learning for Cell Segmentation Based on Multi-scale Convolutional U-Net., , , , , and . BIBM, page 1580-1585. IEEE, (2022)A Channel-Spatial Hybrid Attention Mechanism using Channel Weight Transfer Strategy., , , , and . ICPR, page 2524-2531. IEEE, (2022)Generative Adversarial Networks in Medical Image augmentation: A review., , , , , , , , , and . Comput. Biol. Medicine, (2022)Residual-Recursion Autoencoder for Shape Illustration Images., , , , , and . CoRR, (2020)Elucidating genetic and molecular basis of altered higher-order brain structure-function coupling in major depressive disorder., , , , , , , , , and . NeuroImage, (2024)TDRConv: Exploring the Trade-off Between Feature Diversity and Redundancy for a Compact CNN Module., , , , , and . ICIC (4), volume 14089 of Lecture Notes in Computer Science, page 333-344. Springer, (2023)Adaptively Customizing Activation Functions for Various Layers., , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (9): 6096-6107 (September 2023)