Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Lin, Hongxiang"'
Autor:
Lin, Hongxiang, Figini, Matteo, D'Arco, Felice, Ogbole, Godwin, Tanno, Ryutaro, Blumberg, Stefano B., Ronan, Lisa, Brown, Biobele J., Carmichael, David W., Lagunju, Ikeoluwa, Cross, Judith Helen, Fernandez-Reyes, Delmiro, Alexander, Daniel C.
Low-field (<1T) magnetic resonance imaging (MRI) scanners remain in widespread use in low- and middle-income countries (LMICs) and are commonly used for some applications in higher income countries e.g. for small child patients with obesity, claustro
Externí odkaz:
http://arxiv.org/abs/2304.13385
Large Vision Model (LVM) has recently demonstrated great potential for medical imaging tasks, potentially enabling image enhancement for sparse-view Cone-Beam Computed Tomography (CBCT), despite requiring a substantial amount of data for training. Me
Externí odkaz:
http://arxiv.org/abs/2203.12476
Autor:
Blumberg, Stefano B., Lin, Hongxiang, Grussu, Francesco, Zhou, Yukun, Figini, Matteo, Alexander, Daniel C.
We present PROSUB: PROgressive SUBsampling, a deep learning based, automated methodology that subsamples an oversampled data set (e.g. multi-channeled 3D images) with minimal loss of information. We build upon a recent dual-network approach that won
Externí odkaz:
http://arxiv.org/abs/2203.09268
Autor:
Xiao, Ting, Lin, Hongxiang, Tang, Can, Li, Xiuru, Mei, Yuting, Gao, Lin, Jiang, Lihua, Xiang, Peng, Ni, Shibing, Xiao, Yequan, Tan, Xinyu
Publikováno v:
In Chemical Engineering Journal 15 October 2024 498
Autor:
Xiao, Ting, Sun, Xiaowen, Wei, Chong, Gao, Lin, Lin, Hongxiang, Tang, Can, Li, Xiuru, Mei, Yuting, Jiang, Lihua, Ni, Shibing, Xiao, Yequan, Tan, Xinyu
Publikováno v:
In Electrochimica Acta 10 December 2024 507
Publikováno v:
In Mechanical Systems and Signal Processing 1 November 2024 220
Recently, self-supervised representation learning gives further development in multimedia technology. Most existing self-supervised learning methods are applicable to packaged data. However, when it comes to streamed data, they are suffering from a c
Externí odkaz:
http://arxiv.org/abs/2107.01776
Autor:
Zhou, Yukun, Xu, Moucheng, Hu, Yipeng, Lin, Hongxiang, Jacob, Joseph, Keane, Pearse A., Alexander, Daniel C.
Accurate multi-class segmentation is a long-standing challenge in medical imaging, especially in scenarios where classes share strong similarity. Segmenting retinal blood vessels in retinal photographs is one such scenario, in which arteries and vein
Externí odkaz:
http://arxiv.org/abs/2104.12138
Autor:
Wu, Jinfeng, Zhu, Suqin, Lin, Rongcheng, Cai, Wanghai, Lin, Hongxiang, Wu, Jiayue, Ye, Liefu, Wei, Yongbao
Publikováno v:
In Gene 30 January 2024 893
Autor:
Figini, Matteo, Lin, Hongxiang, Ogbole, Godwin, Arco, Felice D, Blumberg, Stefano B., Carmichael, David W., Tanno, Ryutaro, Kaden, Enrico, Brown, Biobele J., Lagunju, Ikeoluwa, Cross, Helen J., Fernandez-Reyes, Delmiro, Alexander, Daniel C.
1.5T or 3T scanners are the current standard for clinical MRI, but low-field (<1T) scanners are still common in many lower- and middle-income countries for reasons of cost and robustness to power failures. Compared to modern high-field scanners, low-
Externí odkaz:
http://arxiv.org/abs/2003.07216