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  1. No Access

    Chapter and Conference Paper

    Deep-Based Super-Angular Resolution for Diffusion Imaging

    High angular resolution diffusion imaging (HARDI) allows for more detailed fiber structures to be obtained by scanning in more directions than conventional diffusion MRI. However, the scanning time of HARDI in...

    Zan Chen, Chenxu Peng, Hao Zhang, Qingrun Zeng… in Pattern Recognition and Computer Vision (2021)

  2. No Access

    Chapter and Conference Paper

    MVP U-Net: Multi-View Pointwise U-Net for Brain Tumor Segmentation

    It is a challenging task to segment brain tumors from multi-modality MRI scans. How to segment and reconstruct brain tumors more accurately and faster remains an open question. The key is to effectively model ...

    Changchen Zhao, Zhiming Zhao, Qingrun Zeng… in Brainlesion: Glioma, Multiple Sclerosis, S… (2021)

  3. No Access

    Chapter and Conference Paper

    Two Parallel Stages Deep Learning Network for Anterior Visual Pathway Segmentation

    The segmentation of the anterior visual pathway(AVP) from MRI sequences is challenging because of the thin long architecture, structural variations along the path, and poor contrast with adjacent anatomic stru...

    Siqi Li, Zan Chen, Wenlong Guo, Qingrun Zeng, Yuan**g Feng in Computational Diffusion MRI (2021)

  4. No Access

    Chapter and Conference Paper

    Spatial Sparse Estimation of Fiber Orientation Distribution Using Deep Alternating Directions Method of Multipliers Network

    Sparse prior information is introduced to improve the accuracy  (FOD) estimation. Spatial continuity is another important aspect of prior information, but it is difficult to directly  in sparse FODs estimati...

    Ridho Akbar, Yuan**g Feng, Fan Zhang, Jianzhong He… in Computational Diffusion MRI (2020)