Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Farnaz Farokhian"'
Autor:
Olivier Potvin, April Khademi, Isabelle Chouinard, Farnaz Farokhian, Louis Dieumegarde, Ilana Leppert, Rick Hoge, Maria Natasha Rajah, Pierre Bellec, Simon Duchesne, the CIMA-Q group, the CCNA group
Publikováno v:
Frontiers in Neurology, Vol 10 (2019)
Major hardware/software changes to MRI platforms, either planned or unplanned, will almost invariably occur in longitudinal studies. Our objective was to assess the resulting variability on relevant imaging measurements in such context, specifically
Externí odkaz:
https://doaj.org/article/0ee67dbba13e490cacb54a35444ec636
Publikováno v:
Frontiers in Neurology, Vol 9 (2018)
The presentation and distribution of gray matter (GM) and white matter (WM) abnormalities in temporal lobe epilepsy (TLE) have been widely studied. Here, we investigated the GM and WM abnormalities in TLE patients with and without hippocampal scleros
Externí odkaz:
https://doaj.org/article/4cf41df9119c405cb3d71efb5b9b6d79
Autor:
the CCNA group, the CIMA-Q group, Simon Duchesne, Pierre Bellec, Maria Natasha Rajah, Rick Hoge, Ilana Leppert, Louis Dieumegarde, Farnaz Farokhian, Isabelle Chouinard, April Khademi, Olivier Potvin
Major hardware/software changes to MRI platforms, either planned or unplanned, will almost invariably occur in longitudinal studies. Our objective was to assess the resulting variability on relevant imaging measurements in such context, specifically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ccffffaa0fce7c0cf762c0a8424ba0e
https://doi.org/10.32920/21287934
https://doi.org/10.32920/21287934
Publikováno v:
Frontiers in Neurology, Vol 8 (2017)
The identification of the brain morphological alterations that play important roles in neurodegenerative/neurological diseases will contribute to our understanding of the causes of these diseases. Various automated software programs are designed to p
Externí odkaz:
https://doaj.org/article/21178d47e9954555a1eea8e215e6ddaa
Autor:
Pierre Bellec, Arnaud Boré, Isabelle Chouinard, Christian Beaulieu, Maxime Descoteaux, Olivier Potvin, Jean-Christophe Houde, Farnaz Farokhian, AmanPreet Badhwar, Louis Dieumegarde, Pascal Tétreault, Simon Duchesne
Publikováno v:
Scientific Data, Vol 6, Iss 1, Pp 1-9 (2019)
Scientific Data
Scientific Data
We present MRI data from a single human volunteer consisting in over 599 multi-contrast MR images (T1-weighted, T2-weighted, proton density, fluid-attenuated inversion recovery, T2* gradient-echo, diffusion, susceptibility-weighted, arterial-spin lab
Publikováno v:
Biocybernetics and Biomedical Engineering. 37:246-254
Retinal images play an important role in the early diagnosis of diseases such as diabetes. In the present study, an automatic image processing technique is proposed to segment retinal blood vessels in fundus images. The technique includes the design
Publikováno v:
Journal of Biomedical Science and Engineering. :180-186
Hippocampus, an area of cortex that plays an important role in thinking, planning and remembering. In Alzheimer’s disease (AD), the hippocampus is one of the first areas of the brain to become shriveled and this leads to the memory less, damage in
Publikováno v:
Aging and Disease
Normal aging is associated with both structural changes in many brain regions and functional declines in several cognitive domains with advancing age. Advanced neuroimaging techniques enable explorative analyses of structural alterations that can be
Autor:
Shaoqing Wang, Xiancun Yang, Meixia Su, Qiang Liu, Tao Gong, Qi Mao, Shuguang Zhao, Fang Han, Keming Mao, Yixian Liu, Yanchun Zhu, Shuo Li, Jie Yang, Nan Fu, Shaode Yu, Rongmao Li, Jing Xiong, Yaoqin Xie, Shuihua Wang, Sidan Du, Zhimin Chen, Preetha Phillips, Shuwen Chen, Zeyuan Lu, Ping Sun, Zhengchao Dong, Yudong Zhang, Jingwen Zhuang, Junzheng Zheng, Mei Bai, Ning Mao, Xinnuan Mu, Cong Xu, Yulu Song, Xiaolei Song, Bin Wang, Haizhu Xie, Ke Gan, Daisheng Luo, Zhuofu Deng, Zhenghao Shi, Jiejue Ma, Minghua Zhao, Yonghong Liu, Yongchao Wang, Song Gao, Yaping Wang, Guixue Liu, Wensheng Li, Changyu Tu, Lei Li, Ailong Cai, Linyuan Wang, Haibing Bu, Bin Yan, Junghua Ho, Yin Chang, Ioannis Manousakas, Chiehhsuan Wei, Xiaolong Sun, Juyoung Park, Soyeun Kim, Kyungtae Kang, Jingke Zhang, Feng Zhao, Guanyu Li, Yijie Ren, Yupei Chen, Xuming Zhang, Zhen Yu, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang, Baiying Lei, Y. F. Li, Lanhua Zhang, Chengxin Yan, Huihui Yang, Baoliang Sun, Yanhui Ding, Yongxin Zhang, Yafeng Zhan, Yuxiang Wu, Zhenghua Huang, Tianxu Zhang, Hao Fang, Yan Zhang, Zhijian Song, Manning Wang, Wan Li, Chunlan Yang, Feng Shi, Qun Wang, Shuicai Wu, Wangsheng Lu, Shaowu Li, Farnaz Farokhian, Yingnan Nie, Xin Zhang, Qingchun Li, Dongyan Yang, Yun Liang, Shihou Sheng, Xianbin Cheng, Baodong Gai, Binquan Li, Xiaohui Hu, Iman Beheshti, Hasan Demirel, Jiechuan Ren, Fuwen Lai, Mingwu Jin, Yifei Liu, Mingyue Ding, Yanhong Zhou, Huihong Gong, Wei Peng, Wenyu Liang, Lili Zhao, Kuan Li, Jianping Yin, Mao Wang, Wei Liu, ZhiJun Gao, LiSha Tan, Shaoyin Duan, Simin Lin, Hua Zhong, Shaomao Lv, Haijun Lei, Jian Zhang, Zhang Yang
Publikováno v:
BMC Medical Imaging. 16
Structural MRI-based detection of Alzheimer's disease using feature ranking and classification error
Publikováno v:
Computer methods and programs in biomedicine. 137
Background and objective This paper presents an automatic computer-aided diagnosis (CAD) system based on feature ranking for detection of Alzheimer's disease (AD) using structural magnetic resonance imaging (sMRI) data. Methods The proposed CAD syste