详细论文列表： https://scholar.google.com/citations?hl=zh-CN&user=soMcNA8AAAAJ
部分论文
[1] Ahmad, S., Wu, Y., Wu, Z., Thung, K. H., Liu, S., Lin, W., ... & Yap, P. T. (2023). Multifaceted atlases of the human brain in its infancy. Nature Methods, 20(1), 55-64.
[2] Maier-Hein K H, Neher P F, Houde J C, etc, Wu Y, et al. The challenge of mapping the human connectome based on diffusion tractography. Nature communications, 2017, 8(1): 1-13. (Highly cited)
[3] Xu T, Wu Y, Hong Y, et al. Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding. Medical Image Analysis, 2022, 81: 102548.
[4] Zhang F, Wu Y, Norton I, et al. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage, 2018, 179: 429-447. (Highly cited)
[5] Zhang F, Wu Y, Norton I, et al. Test–retest reproducibility of white matter parcellation using diffusion MRI tractography fiber clustering. Human brain mapping, 2019, 40(10): 3041-3057.
[6] Wu Y, Zhang F, Makris N, et al. Investigation into local white matter abnormality in emotional processing and sensorimotor areas using an automatically annotated fiber clustering in major depressive disorder. NeuroImage, 2018, 181: 16-29.
[7] Wu Y, Hong Y, Feng Y, et al. Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions. Medical image analysis, 2020, 59: 101543. (Best paper award, Runner-up)
[8] Huynh K M (#), Xu T (#), Wu Y (#), et al. Probing tissue microarchitecture of the baby brain via spherical mean spectrum imaging. IEEE transactions on medical imaging, 2020, 39(11): 3607-3618.
[9] Wu Y, Lin W, Shen D, et al. Asymmetry spectrum imaging for baby diffusion tractography. International Conference on Information Processing in Medical Imaging. Springer, Cham, 2019: 319-331. (Oral presentation, Best conference)
[10] Wu Y, Hong Y, Ahmad S, et al. Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2020: 260-269. (NIH award)
[11] Wu Y, Feng Y, Shen D, et al. A multi-tissue global estimation framework for asymmetric fiber orientation distributions. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2018: 45-52. (Student Travel Award, Oral presentation)
[12] Wu Y, Hong Y, Ahmad S, et al. Active Cortex Tractography. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2021: 467-476.
[13] Wu Y, Feng Y, Shen D, et al. Penalized geodesic tractography for mitigating gyral bias. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2018: 12-19.
[14] Wu, Y., Ahmad, S., Huynh, K.M., et al., An Automated Processing Pipeline for Diffusion MRI in the Baby Connectome Project, ISMRM, May 15-20, 2021. (Summa Cum Laude Merit Award)
[15] Wu, Y., Ahmad, S., Lin, W., et al., White Matter Tract Atlases of a Century of Human Life, in: Annual Meeting of the Organization for Human Brain Mapping (OHBM), Virtual Meeting, 21-25 June, 2021. (Merit Abstract Award)
[16] Wu Y, Hong Y, Ahmad S, et al. Tract dictionary learning for fast and robust recognition of fiber bundles. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2020: 251-259.
[17] Wu Y, Ahmad S, Yap P T. Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2021: 477-486.
[18] Ahmad S, Wu Y, Yap P T. Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2021: 390-399.
[19] Ahmad S, Wu Y, Huynh K M, et al. Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2020: 34-43.
[20] Lyu W (#), Wu Y (#), Huang H, et al. Aberrant dynamic functional network connectivity in type 2 diabetes mellitus individuals[J]. Cognitive Neurodynamics, 2022: 1-15.