Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Bui, Toan Duc"'
Medical image segmentation has played an important role in medical analysis and widely developed for many clinical applications. Deep learning-based approaches have achieved high performance in semantic segmentation but they are limited to pixel-wise
Externí odkaz:
http://arxiv.org/abs/2012.02463
Image synthesis from corrupted contrasts increases the diversity of diagnostic information available for many neurological diseases. Recently the image-to-image translation has experienced significant levels of interest within medical research, begin
Externí odkaz:
http://arxiv.org/abs/2012.01777
Autor:
Sun, Yue, Gao, Kun, Wu, Zhengwang, Lei, Zhihao, Wei, Ying, Ma, Jun, Yang, Xiaoping, Feng, Xue, Zhao, Li, Phan, Trung Le, Shin, Jitae, Zhong, Tao, Zhang, Yu, Yu, Lequan, Li, Caizi, Basnet, Ramesh, Ahmad, M. Omair, Swamy, M. N. S., Ma, Wenao, Dou, Qi, Bui, Toan Duc, Noguera, Camilo Bermudez, Landman, Bennett, Gotlib, Ian H., Humphreys, Kathryn L., Shultz, Sarah, Li, Longchuan, Niu, Sijie, Lin, Weili, Jewells, Valerie, Li, Gang, Shen, Dinggang, Wang, Li
Publikováno v:
IEEE Transactions on Medical Imaging, 40(5), 1363-1376, 2021
To better understand early brain growth patterns in health and disorder, it is critical to accurately segment infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). Deep learning-based met
Externí odkaz:
http://arxiv.org/abs/2007.02096
Autor:
Wei, Jie, Wu, Zhengwang, Wang, Li, Bui, Toan Duc, Qu, Liangqiong, Yap, Pew-Thian, Xia, Yong, Li, Gang, Shen, Dinggang
Publikováno v:
In Pattern Recognition April 2022 124
In the isointense stage, the accurate volumetric image segmentation is a challenging task due to the low contrast between tissues. In this paper, we propose a novel very deep network architecture based on a densely convolutional network for volumetri
Externí odkaz:
http://arxiv.org/abs/1709.03199
Publikováno v:
In Biomedical Signal Processing and Control September 2019 54
Publikováno v:
In Artificial Intelligence In Medicine June 2019 97:1-8
Publikováno v:
In Digital Signal Processing October 2016 57:13-33
Autor:
Wang, Li, Nie, Dong, Thung, Kim-Han, Bui, Toan Duc, Shin, Jitae, Zeng, Guodong, Zheng, Guoyan, Fonov, Vladimir S, Doyle, Andrew, Xu, Yongchao, Moeskops, Pim, Pluim, Josien P W, Li, Guannan, Desrosiers, Christian, Ayed, Ismail Ben, Sanroma Güell, Gerard, Benkarim, Oualid M, Casamitjana, Adria, Vilaplana, Veronica, Lin, Weili, Li, Gang, Shen, Dinggang, Puybareau, Elodie, Dolz, Jose, Zhang, Qian, Wang, Fan, Xia, Jing, Wu, Zhengwang, Chen, Jiawei
Publikováno v:
IEEE Trans Med Imaging
IEEE transactions on medical imaging 38(9), 2219-2230 (2019). doi:10.1109/TMI.2019.2901712
IEEE transactions on medical imaging 38(9), 2219-2230 (2019). doi:10.1109/TMI.2019.2901712
Accurate segmentation of infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is an indispensable foundation for early studying of brain growth patterns and morphological changes in neuro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::2446763c1652c239e2c7be81270e04de
https://pubmed.ncbi.nlm.nih.gov/30835215
https://pubmed.ncbi.nlm.nih.gov/30835215