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Beibei Hou

2 accepted papers

2020

Acu-Net: A 3D Attention Context U-Net for Multiple Sclerosis Lesion Segmentation

ICASSP 2020accepted

Multiple Sclerosis (MS) lesion segmentation from MR images is important for neuroimaging analysis. MS is diffuse, multifocal, and tend to involve peripheral brain structures such as the white matter, corpus callosum, and brainstem. Recently, U-Net has made great achievements in medical image segment…

Cited by 0SourceScholar
2019

A New Fusion Framework for Multimodal Medical Image Based on GRWT

ICASSP 2019accepted

Hypertension is one of the most important contributors to heart disease and stroke. Multimodality medical image fusion plays an important role in the precise diagnosis, treatment planning and follow-up studies of various diseases. In this paper, we propose an image fusion framework in patients with…

Cited by 0SourceScholar