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Your search keyword '"Lyu, Wenjiao"' showing total 15 results
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15 results on '"Lyu, Wenjiao"'

2. Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning

Author

Chen, Xiaoyang, Wu, Jinjian, Lyu, Wenjiao, Zou, Yicheng, Thung, Kim-Han, Liu, Siyuan, Wu, Ye, Ahmad, Sahar, and Yap, Pew-Thian

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Automatic segmentation of brain MR images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is critical for tissue volumetric analysis and cortical surface reconstruction. Due to dramatic structural and appearance changes associated with developmental and aging processes, existing brain tissue segmentation methods are only viable for specific age groups. Consequently, methods developed for one age group may fail for another. In this paper, we make the first attempt to segment brain tissues across the entire human lifespan (0-100 years of age) using a unified deep learning model. To overcome the challenges related to structural variability underpinned by biological processes, intensity inhomogeneity, motion artifacts, scanner-induced differences, and acquisition protocols, we propose to use contrastive learning to improve the quality of feature representations in a latent space for effective lifespan tissue segmentation. We compared our approach with commonly used segmentation methods on a large-scale dataset of 2,464 MR images. Experimental results show that our model accurately segments brain tissues across the lifespan and outperforms existing methods.

Published
2023

11. Convolutional Neural Networks for Classification of T2DM Cognitive Impairment Based on Whole Brain Structural Features

Author

Tan, Xin, primary, Wu, Jinjian, additional, Ma, Xiaomeng, additional, Kang, Shangyu, additional, Yue, Xiaomei, additional, Rao, Yawen, additional, Li, Yifan, additional, Huang, Haoming, additional, Chen, Yuna, additional, Lyu, Wenjiao, additional, Qin, Chunhong, additional, Li, Mingrui, additional, Feng, Yue, additional, Liang, Yi, additional, and Qiu, Shijun, additional

Published
2022
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12. Altered Functional Network Connectivity of Precuneus and Executive Control Networks in Type 2 Diabetes Mellitus Without Cognitive Impairment

Author

Wu, Jinjian, primary, Kang, Shangyu, additional, Su, Jianpo, additional, Liu, Kai, additional, Fan, Liangwei, additional, Ma, Xiaomeng, additional, Tan, Xin, additional, Huang, Haoming, additional, Feng, Yue, additional, Chen, Yuna, additional, Lyu, Wenjiao, additional, Zeng, Lingli, additional, Qiu, Shijun, additional, and Hu, Dewen, additional

Published
2022
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13. Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging

Author

Chen, Yuna, primary, Pan, Yongsheng, additional, Kang, Shangyu, additional, Lu, Junshen, additional, Tan, Xin, additional, Liang, Yi, additional, Lyu, Wenjiao, additional, Li, Yifan, additional, Huang, Haoming, additional, Qin, Chunhong, additional, Zhu, Zhangzhi, additional, Li, Saimei, additional, and Qiu, Shijun, additional

Published
2021
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15. The Growing Little Brain: Cerebellar Functional Development from Cradle to School.

Author

Lyu W, Thung KH, Huynh KM, Wang L, Lin W, Ahmad S, and Yap PT

Abstract

Despite the cerebellum's crucial role in brain functions, its early development, particularly in relation to the cerebrum, remains poorly understood. Here, we examine cerebellocortical connectivity using over 1,000 high-quality resting-state functional MRI scans of children from birth to 60 months. By mapping cerebellar topography with fine temporal detail for the first time, we show the hierarchical and contralateral organization of cerebellocortical connectivity from birth. We observe dynamic shifts in cerebellar network gradients, which become more focal with age while maintaining stable anchor points similar to adults, highlighting the cerebellum's evolving yet stable role in functional integration during early development. Our findings provide the first evidence of cerebellar connections to higher-order networks at birth, which generally strengthen with age, emphasizing the cerebellum's early role in cognitive processing beyond sensory and motor functions. Our study provides insights into early cerebellocortical interactions, reveals functional asymmetry and sexual dimorphism in cerebellar development, and lays the groundwork for future research on cerebellum-related disorders in children., Competing Interests: Competing Interests The authors declare that they have no competing financial interests.

Published
2024
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