8 citations · 13 across the 9 of their papers we have counts for
4 papers · 1 filter
Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans
Haomiao Ni, Yuan Xue, Kelvin Wong +4
Accurate infarct segmentation in non-contrast CT (NCCT) images is a crucial step toward computer-aided acute ischemic stroke (AIS) assessment. In clinical practice, bilateral symme…
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation
Yanglan Ou, Ye Yuan, Xiaolei Huang +4
We present a new encoder-decoder Vision Transformer architecture, Patcher, for medical image segmentation. Unlike standard Vision Transformers, it employs Patcher blocks that segme…
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis
Jiarong Ye, Yuan Xue, Peter Liu +3
Generative models have been applied in the medical imaging domain for various image recognition and synthesis tasks. However, a more controllable and interpretable image synthesis…
LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images
Yanglan Ou, Ye Yuan, Xiaolei Huang +4
Diffusion-weighted (DW) magnetic resonance imaging is essential for the diagnosis and treatment of ischemic stroke. DW images (DWIs) are usually acquired in multi-slice settings wh…