activity
20162023
most citedLearning Implicit Brain MRI Manifolds with Deep Learning

145 citations · 282 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2023★ 2 cited

Robust Fiber Orientation Distribution Function Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI

Tianyuan Yao, Francois Rheault, Leon Y Cai +11

Diffusion-weighted magnetic resonance imaging (DW-MRI) is a critical imaging method for capturing and modeling tissue microarchitecture at a millimeter scale. A common practice to…

eess.IV2023

Rapid Brain Meninges Surface Reconstruction with Layer Topology Guarantee

Peiyu Duan, Yuan Xue, Shuo Han +8

The meninges, located between the skull and brain, are composed of three membrane layers: the pia, the arachnoid, and the dura. Reconstruction of these layers can aid in studying v…

q-bio.QM2023★ 3 cited

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering

Zhijian Yang, Junhao Wen, Ahmed Abdulkadir +25

Disease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases. Many diseases can display multipl…

eess.IV2022★ 1 cited

HACA3: A Unified Approach for Multi-site MR Image Harmonization

Lianrui Zuo, Yihao Liu, Yuan Xue +10

The lack of standardization is a prominent issue in magnetic resonance (MR) imaging. This often causes undesired contrast variations in the acquired images due to differences in ha…

eess.IV2022

Disentangling A Single MR Modality

Lianrui Zuo, Yihao Liu, Yuan Xue +5

Disentangling anatomical and contrast information from medical images has gained attention recently, demonstrating benefits for various image analysis tasks. Current methods learn…

q-bio.NC2021

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics

Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun +22

Late-life depression (LLD) is characterized by considerable heterogeneity in clinical manifestation. Unraveling such heterogeneity would aid in elucidating etiological mechanisms a…