Výsledky vyhledávání - "Yuanjing Feng"

Akademický článek

Bundle-specific tractogram distribution estimation using higher-order streamline differential equation

Autor: Yuanjing Feng, Lei Xie, Jingqiang Wang, Qiyuan Tian, Jianzhong He, Qingrun Zeng, Fei Gao

Publikováno v: NeuroImage, Vol 298, Iss , Pp 120766- (2024)

Streamline tractography locally traces peak directions extracted from fiber orientation distribution (FOD) functions, lacking global information about the trend of the whole fiber bundle. Therefore, it is prone to producing erroneous tracks while mis

Externí odkaz: https://doaj.org/article/39cf3b9f38944b5cb1cf8d1886bde62b

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Akademický článek

Metabolic and functional substrates of impulsive decision-making in individuals with heroin addiction after prolonged methadone maintenance treatment

Autor: Qian Lv, Miao Zhang, Haifeng Jiang, Yilin Liu, Shaoling Zhao, Xiaomin Xu, Wenlei Zhang, Tianzhen Chen, Hang Su, Jiangtao Zhang, Heqiu Wang, Jianmin Zhang, Yuanjing Feng, Yongqiang Li, Biao Li, Min Zhao, Zheng Wang

Publikováno v: NeuroImage, Vol 283, Iss , Pp 120421- (2023)

Elevated impulsivity has been frequently reported in individuals with opioid addiction receiving methadone maintenance therapy (MMT), but the underlying neural mechanisms and cognitive subprocesses are not fully understood. We acquired functional mag

Externí odkaz: https://doaj.org/article/aca20d6deb094bfaad21f54a06474ee5

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Akademický článek

MSSTNet: Multi-scale facial videos pulse extraction network based on separable spatiotemporal convolution and dimension separable attention

Autor: Changchen Zhao, Hongsheng Wang, Yuanjing Feng

Publikováno v: Virtual Reality & Intelligent Hardware, Vol 5, Iss 2, Pp 124-141 (2023)

Background: Using remote photoplethysmography (rPPG) to estimate blood volume pulse in a non-contact way is an active research topic in recent years. Existing methods are mainly based on the single-scale region of interest (ROI). However, some noise

Externí odkaz: https://doaj.org/article/e60640fa98e24b0f8dd56048e31891df

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Akademický článek

Robust image compression‐encryption via scrambled block bernoulli sampling with diffusion noise

Autor: Zan Chen, Chaocheng Ma, Tao Wang, Yuanjing Feng, Xingsong Hou, Xueming Qian

Publikováno v: IET Image Processing, Vol 17, Iss 5, Pp 1478-1492 (2023)

Abstract This paper proposed an image compression‐encryption scheme based on compressive sensing theory, which achieves high security, strong robustness, and high rate‐distortion performance. First, the denoising preprocessing strategy is applied

Externí odkaz: https://doaj.org/article/4a45834442a34724af7db19d78d7bbc2

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Akademický článek

Mapping brain-wide excitatory projectome of primate prefrontal cortex at submicron resolution and comparison with diffusion tractography

Autor: Mingchao Yan, Wenwen Yu, Qian Lv, Qiming Lv, Tingting Bo, Xiaoyu Chen, Yilin Liu, Yafeng Zhan, Shengyao Yan, Xiangyu Shen, Baofeng Yang, Qiming Hu, Jiangli Yu, Zilong Qiu, Yuanjing Feng, Xiao-Yong Zhang, He Wang, Fuqiang Xu, Zheng Wang

Publikováno v: eLife, Vol 11 (2022)

Resolving trajectories of axonal pathways in the primate prefrontal cortex remains crucial to gain insights into higher-order processes of cognition and emotion, which requires a comprehensive map of axonal projections linking demarcated subdivisions

Externí odkaz: https://doaj.org/article/d68b3e49470745a0b8688d78eb40af33

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Akademický článek

The challenge of mapping the human connectome based on diffusion tractography

Autor: Klaus H. Maier-Hein, Peter F. Neher, Jean-Christophe Houde, Marc-Alexandre Côté, Eleftherios Garyfallidis, Jidan Zhong, Maxime Chamberland, Fang-Cheng Yeh, Ying-Chia Lin, Qing Ji, Wilburn E. Reddick, John O. Glass, David Qixiang Chen, Yuanjing Feng, Chengfeng Gao, Ye Wu, Jieyan Ma, Renjie He, Qiang Li, Carl-Fredrik Westin, Samuel Deslauriers-Gauthier, J. Omar Ocegueda González, Michael Paquette, Samuel St-Jean, Gabriel Girard, François Rheault, Jasmeen Sidhu, Chantal M. W. Tax, Fenghua Guo, Hamed Y. Mesri, Szabolcs Dávid, Martijn Froeling, Anneriet M. Heemskerk, Alexander Leemans, Arnaud Boré, Basile Pinsard, Christophe Bedetti, Matthieu Desrosiers, Simona Brambati, Julien Doyon, Alessia Sarica, Roberta Vasta, Antonio Cerasa, Aldo Quattrone, Jason Yeatman, Ali R. Khan, Wes Hodges, Simon Alexander, David Romascano, Muhamed Barakovic, Anna Auría, Oscar Esteban, Alia Lemkaddem, Jean-Philippe Thiran, H. Ertan Cetingul, Benjamin L. Odry, Boris Mailhe, Mariappan S. Nadar, Fabrizio Pizzagalli, Gautam Prasad, Julio E. Villalon-Reina, Justin Galvis, Paul M. Thompson, Francisco De Santiago Requejo, Pedro Luque Laguna, Luis Miguel Lacerda, Rachel Barrett, Flavio Dell’Acqua, Marco Catani, Laurent Petit, Emmanuel Caruyer, Alessandro Daducci, Tim B. Dyrby, Tim Holland-Letz, Claus C. Hilgetag, Bram Stieltjes, Maxime Descoteaux

Publikováno v: Nature Communications, Vol 8, Iss 1, Pp 1-13 (2017)

Though tractography is widely used, it has not been systematically validated. Here, authors report results from 20 groups showing that many tractography algorithms produce both valid and invalid bundles.

Externí odkaz: https://doaj.org/article/67c5930443f649148e606525891370e8

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Akademický článek

Author Correction: The challenge of mapping the human connectome based on diffusion tractography

Publikováno v: Nature Communications, Vol 10, Iss 1, Pp 1-2 (2019)

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Externí odkaz: https://doaj.org/article/f972a1b598e3406699ae946bfe04f380

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Akademický článek

A Novel Richardson-Lucy Model with Dictionary Basis and Spatial Regularization for Isolating Isotropic Signals.

Autor: Tiantian Xu, Yuanjing Feng, Ye Wu, Qingrun Zeng, Jun Zhang, Jianzhong He, Qichuan Zhuge

Publikováno v: PLoS ONE, Vol 12, Iss 1, p e0168864 (2017)

Diffusion-weighted magnetic resonance imaging is a non-invasive imaging method that has been increasingly used in neuroscience imaging over the last decade. Partial volume effects (PVEs) exist in sampling signal for many physical and actual reasons,

Externí odkaz: https://doaj.org/article/aff06b381382473c8ea9e00951cfaf40

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Akademický článek

Accurate calibration of stereo cameras for machine vision

Autor: Liangfu Li, Zuren Feng, Yuanjing Feng

Publikováno v: Journal of Computer Science and Technology, Vol 4, Iss 03, Pp 147-151 (2004)

Camera calibration is an important task for machine vision, whose goal is to obtain the internal and external parameters of each camera. With these parameters, the 3D positions of a scene point, which is identified and matched in two stereo images, c

Externí odkaz: https://doaj.org/article/d7a1d94b6e5f4d6db749aa4e4b80b33a

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