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Page 1
Unsupervised Learning of Disentangled Representation via Auto-Encoding: A Survey.
Sensors (Basel). 2023 Feb 20;23(4):2362. doi: 10.3390/s23042362.
Sensors (Basel). 2023.
PMID: 36850960
Free PMC article.
Review.
Multiscale brain MRI super-resolution using deep 3D convolutional networks.
Pham CH, Tor-Díez C, Meunier H, Bednarek N, Fablet R, Passat N, Rousseau F.
Pham CH, et al.
Comput Med Imaging Graph. 2019 Oct;77:101647. doi: 10.1016/j.compmedimag.2019.101647. Epub 2019 Aug 14.
Comput Med Imaging Graph. 2019.
PMID: 31493703
Item in Clipboard
SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI.
Delannoy Q, Pham CH, Cazorla C, Tor-Díez C, Dollé G, Meunier H, Bednarek N, Fablet R, Passat N, Rousseau F.
Delannoy Q, et al. Among authors: pham ch.
Comput Biol Med. 2020 May;120:103755. doi: 10.1016/j.compbiomed.2020.103755. Epub 2020 Apr 11.
Comput Biol Med. 2020.
PMID: 32421654
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Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption.
Pham CH, Huynh-The T, Sedgh-Gooya E, El-Bouz M, Alfalou A.
Pham CH, et al.
Comput Methods Programs Biomed. 2024 Jan;243:107854. doi: 10.1016/j.cmpb.2023.107854. Epub 2023 Oct 16.
Comput Methods Programs Biomed. 2024.
PMID: 37865060
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