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Reducing the impact of disrupted brain regions in Diffusion Tensor Imaging with inpainting

Author:Zihao Tang  Xinyi Wang  Mariano Cabezas  Lihaowen Zhu  Dongnan Liu  Michael Barnett  Weidong Cai  Chenyu Wang  

Session Type:Oral  

Session Date:Monday, 05 June 2023  

Session Name:Data Analysis & Processing  

Program Number:0075  

Room Session:718B  

Institution :University of Sydney  Sydney Neuroimaging Analysis Centre  

Can HR-VWI pre-operatively predict Postoperative Restenosis of Intracranial Atherosclerotic Disease Treated by Drug-Coated Balloon?

Author:Shu Jiang  Weiqiang Dou  Xinyi Wang  Chao Zhang  

Session Type:Oral  

Session Date:Wednesday, 07 June 2023  

Session Name:Blood Vessels in the Brain  

Program Number:0786  

Room Session:715A/B  

Institution :The First Affiliated Hospital of Shandong First Medical University  GE Healthcare  

FOD-Net 2.0: End-to-end FOD enhancement for low angular diffusion acquisitions using deep learning

Author:Xinyi Wang  Zihao Tang  Mariano Cabezas  Arkiev D’Souza  Fernando Calamante  Dongnan Liu  Michael Barnett  Sicong Tu  Weidong Cai  Chenyu Wang  

Session Type:Power Pitch  

Session Date:Wednesday, 07 June 2023  

Session Name:Pitch: ML/AI Showcase  

Program Number:0952  

Room Session:Power Pitch Theatre 1  

Institution :University of Sydney  

FOD-Net 2.0: End-to-end FOD enhancement for low angular diffusion acquisitions using deep learning

Can combined High-resolution and 3D-Arterial spin labeling MR differentiate moyamoya disease from arteriosclerotic moyamoya syndrome?

Quantitative susceptibility mapping reveals an association between iron load in gray matter nuclei and different cerebral perfusion patterns