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Your search keyword '"Liu, Wenjin"' showing total 457 results
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457 results on '"Liu, Wenjin"'

3. Heterogeneous Graph-Based Multimodal Brain Network Learning

Author

Shi, Gen, Zhu, Yifan, Liu, Wenjin, Yao, Quanming, and Li, Xuesong

Subjects
Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Quantitative Biology - Neurons and Cognition
Abstract

Graph neural networks (GNNs) provide powerful insights for brain neuroimaging technology from the view of graphical networks. However, most existing GNN-based models assume that the neuroimaging-produced brain connectome network is a homogeneous graph with single types of nodes and edges. In fact, emerging studies have reported and emphasized the significance of heterogeneity among human brain activities, especially between the two cerebral hemispheres. Thus, homogeneous-structured brain network-based graph methods are insufficient for modelling complicated cerebral activity states. To overcome this problem, in this paper, we present a heterogeneous graph neural network (HebrainGNN) for multimodal brain neuroimaging fusion learning. We first model the brain network as a heterogeneous graph with multitype nodes (i.e., left and right hemispheric nodes) and multitype edges (i.e., intra- and interhemispheric edges). Then, we propose a self-supervised pretraining strategy based on a heterogeneous brain network to address the potential overfitting problem caused by the conflict between a large parameter size and a small medical data sample size. Our results show the superiority of the proposed model over other existing methods in brain-related disease prediction tasks. Ablation experiments show that our heterogeneous graph-based model attaches more importance to hemispheric connections that may be neglected due to their low strength by previous homogeneous graph models. Other experiments also indicate that our proposed model with a pretraining strategy alleviates the problem of limited labelled data and yields a significant improvement in accuracy.

Published
2021

4. Deep Open Snake Tracker for Vessel Tracing

Author

Chen, Li, Liu, Wenjin, Balu, Niranjan, Mossa-Basha, Mahmud, Hatsukami, Thomas S., Hwang, Jenq-Neng, and Yuan, Chun

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Vessel tracing by modeling vascular structures in 3D medical images with centerlines and radii can provide useful information for vascular health. Existing algorithms have been developed but there are certain persistent problems such as incomplete or inaccurate vessel tracing, especially in complicated vascular beds like the intracranial arteries. We propose here a deep learning based open curve active contour model (DOST) to trace vessels in 3D images. Initial curves were proposed from a centerline segmentation neural network. Then data-driven machine knowledge was used to predict the stretching direction and vessel radius of the initial curve, while the active contour model (as human knowledge) maintained smoothness and intensity fitness of curves. Finally, considering the nonloop topology of most vasculatures, individually traced vessels were connected into a tree topology by applying a minimum spanning tree algorithm on a global connection graph. We evaluated DOST on a Time-of-Flight (TOF) MRA intracranial artery dataset and demonstrated its superior performance over existing segmentation-based and tracking-based vessel tracing methods. In addition, DOST showed strong adaptability on different imaging modalities (CTA, MR T1 SPACE) and vascular beds (coronary arteries)., Comment: MICCAI 2021

Published
2021

21. Landscape of somatic alterations in large-scale solid tumors from an Asian population

Author

Wu, Liqun, Yao, Herui, Chen, Hui, Wang, Aodi, Guo, Kun, Gou, Wenli, Yu, Yanfei, Li, Xiang, Yao, Ming, Yuan, Shaohua, Pang, Fei, Hu, Jinwei, Chen, Lijuan, Liu, Wenjin, Yao, Jicheng, Zhang, Shuirong, Dong, Xiaowei, Wang, Weifeng, Hu, Jing, Ling, Qi, Ding, Songming, Wei, Yan, Li, Qiang, Cao, Weichun, Wang, Shuang, Di, Yang, Feng, Feiling, Zhao, Gang, Zhang, Jian, Huang, Ling, Xu, Jia, Yan, Wangjun, Tong, Zhongsheng, Jiang, Da, Ji, Tao, Li, Qiao, Xu, Ling, He, Huiying, Shang, Liang, Liu, Jin, Wang, Kefeng, Wu, Duoguang, Shen, Jingnan, Liu, Ye, Zhang, Ting, Liang, Chaojie, Wang, Yusheng, Shang, Yanhong, Guo, Jianji, Liang, Guanbiao, Xu, Shifeng, Liu, Junfeng, Wang, Kai, and Wang, Minghui

Published
2022
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23. Experimental and Numerical Simulation of Ejecta Size and Velocity of Hypervelocity Impact Rubble-Pile Asteroid.

Author

Liu, Wenjin, Zhang, Qingming, Long, Renrong, Ren, Jiankang, Li, Juncheng, Gong, Zizheng, Wu, Qiang, and Ren, Siyuan

Abstract

Rubble-pile asteroids may be the type of near-Earth object most likely to threaten Earth in a future collision event. Small-scale impact experiments and numerical simulations for large-scale impacts were conducted to clarify the size ratio of the boulder/projectile diameter effects on ejecta size–velocity distribution. A series of small-scale impact cratering experiments were performed on porous gypsum–basalt targets at velocities of 2.3 to 5.5 km·s−1. Three successive ejection processes were observed by high-speed and ultra-high-speed cameras. The momentum transfer coefficient and cratering size were measured. A three-dimensional numerical model reflecting the random distribution of the interior boulders of the rubble-pile structure asteroid is established. The size ratio (length to diameter) of the boulder size inside the asteroid to the projectile diameter changed from 0.25 to 1.7. We conducted a smoothed particle hydrodynamics numerical simulation in the AUTODYN software to study the boulder size effect on the ejecta size–velocity distribution. Simulation results suggest that the microscopic porosity on regolith affects the propagation of shock waves and reduces the velocity of ejecta. Experiments and numerical simulation results suggest that both excavation flow and spalling ejection mechanism can eject boulders (0.12–0.72 m) out of the rubble-pile asteroid. These experiments and simulation results help us select the potential impact site in a planetary defense scenario and reduce deflection risk. are comprised primarily of boulders of a range of sizes. [ABSTRACT FROM AUTHOR]

Published
2024
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29. A Fast Tacho-Less Order Tracking Method for Gear Fault Diagnosis Under Large Rotational Speed Variation Conditions Based on Multi-stage Generalized Demodulation

Author

Zhou, Qi, Liu, Wenjin, Wu, Chaoqun, Ceccarelli, Marco, Series Editor, Hernandez, Alfonso, Editorial Board Member, Huang, Tian, Editorial Board Member, Takeda, Yukio, Editorial Board Member, Corves, Burkhard, Editorial Board Member, Agrawal, Sunil, Editorial Board Member, and Tan, Jianrong, editor

Published
2020
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49. Genomic characterization and immunotherapy for microsatellite instability-high in cholangiocarcinoma.

Author

Yang, Xu, Lian, Baofeng, Zhang, Nan, Long, Junyu, Li, Yiran, Xue, Jingnan, Chen, Xiangqi, Wang, Yunchao, Wang, Yanyu, Xun, Ziyu, Piao, Mingjian, Zhu, Chenpei, Wang, Shanshan, Sun, Huishan, Song, Zhijian, Lu, Leilei, Dong, Xiaowei, Wang, Aodi, Liu, Wenjin, and Pan, Jie

Subjects
PROGRAMMED cell death 1 receptors, MICROSATELLITE repeats, CHOLANGIOCARCINOMA, IMMUNOTHERAPY, NUCLEOTIDE sequencing, PROGRAMMED death-ligand 1
Abstract

Background: Microsatellite instability-high (MSI-H) is a unique genomic status in many cancers. However, its role in the genomic features and immunotherapy in cholangiocarcinoma (CCA) is unclear. This study aimed to systematically investigate the genomic characterization and immunotherapy efficacy of MSI-H patients with CCA. Methods: We enrolled 887 patients with CCA in this study. Tumor samples were collected for next-generation sequencing. Differences in genomic alterations between the MSI-H and microsatellite stability (MSS) groups were analyzed. We also investigated the survival of PD-1 inhibitor-based immunotherapy between two groups of 139 patients with advanced CCA. Results: Differential genetic alterations between the MSI-H and MSS groups included mutations in ARID1A, ACVR2A, TGFBR2, KMT2D, RNF43, and PBRM1 which were enriched in MSI-H groups. Patients with an MSI-H status have a significantly higher tumor mutation burden (TMB) (median 41.7 vs. 3.1 muts/Mb, P < 0.001) and more positive programmed death ligand 1 (PD-L1) expression (37.5% vs. 11.9%, P < 0.001) than those with an MSS status. Among patients receiving PD-1 inhibitor-based therapy, those with MSI-H had a longer median overall survival (OS, hazard ratio (HR) = 0.17, P = 0.001) and progression-free survival (PFS, HR = 0.14, P < 0.001) than patients with MSS. Integrating MSI-H and PD-L1 expression status (combined positive score ≥ 5) could distinguish the efficacy of immunotherapy. Conclusions: MSI-H status was associated with a higher TMB value and more positive PD-L1 expression in CCA tumors. Moreover, in patients with advanced CCA who received PD-1 inhibitor-based immunotherapy, MSI-H and positive PD-L1 expression were associated with improved both OS and PFS. Trial registration: This study was registered on ClinicalTrials.gov on 07/01/2017 (NCT03892577). [ABSTRACT FROM AUTHOR]

Published
2024
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