Search Results - "Generative autoencoder"

GAME-Net: an ensemble deep learning framework integrating Generative Autoencoders and attention mechanisms for automated brain tumor segmentation in MRI

Authors: Ihtisham Ul Haq Abid Iqbal Muhammad Anas et al.

Source: Frontiers in Computational Neuroscience, Vol 19 (2025)

Subject Terms: brain tumor segmentation, Generative Autoencoder, attention mechanism, ensemble deep learning, magnetic resonance imaging (MRI), Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fncom.2025.1702902/full; https://doaj.org/toc/1662-5188

Access URL: https://doaj.org/article/31bdc5d7a2c24e8ab32e3d029dcc7c4d

Component-aware generative autoencoder for structure hybrid and shape completion

Authors: Fan Zhang Qiang Fu Yang Liu et al.

Source: Graphical Models, Vol 129, Iss , Pp 101185- (2023)

Subject Terms: Generative autoencoder, Structure hybrid, Shape completion, 3D modeling, Science, Technology (General), T1-995

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1524070323000152; https://doaj.org/toc/1524-0703

Access URL: https://doaj.org/article/85ab1d36d15541b6aabfb1966b6ec099

Generating sequential electronic health records using dual adversarial autoencoder

Authors: Dongha Lee Hwanjo Yu Xiaoqian Jiang et al.

Contributors: Dongha Lee Hwanjo Yu Xiaoqian Jiang et al.

Source: Journal of the American Medical Informatics Association. 27:1411-1419

Subject Terms: generative autoencoder, generative adversarial networks (GANs), 02 engineering and technology, 01 natural sciences, 3. Good health, Machine Learning, electornic health records (EHRs), differential privacy, 0202 electrical engineering, electronic engineering, information engineering, Electronic Health Records, Humans, Computer Simulation, Neural Networks, Computer, sequential data generation, Confidentiality, Software, 0105 earth and related environmental sciences

Access URL: https://europepmc.org/articles/pmc7647348?pdf=render
https://pubmed.ncbi.nlm.nih.gov/32989459
https://dblp.uni-trier.de/db/journals/jamia/jamia27.html#LeeYJRGTZX20
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647348
https://pubmed.ncbi.nlm.nih.gov/32989459/
https://oasis.postech.ac.kr/handle/2014.oak/104685
https://www.ncbi.nlm.nih.gov/pubmed/32989459
https://doi.org/10.1093/jamia/ocaa119

AI-Driven De Novo Design and Molecular Modeling for Discovery of Small-Molecule Compounds as Potential Drug Candidates Targeting SARS-CoV-2 Main Protease

Authors: Alexander M. Andrianov Mikita A. Shuldau Konstantin V. Furs et al.

Source: International Journal of Molecular Sciences, Vol 24, Iss 9, p 8083 (2023)

Subject Terms: SARS-CoV-2, main protease, deep learning, generative autoencoder, virtual screening, molecular docking, Biology (General), QH301-705.5, Chemistry, QD1-999

Relation: https://www.mdpi.com/1422-0067/24/9/8083; https://doaj.org/toc/1661-6596; https://doaj.org/toc/1422-0067; https://doaj.org/article/9112b600c1b94046a10a89af361a6b2d

Availability: https://doi.org/10.3390/ijms24098083
https://doaj.org/article/9112b600c1b94046a10a89af361a6b2d

Component-Aware Generative Autoencoder for Structure Hybrid and Shape Completion

Authors: Fan Zhang Qiang Fu Yang Liu et al.

Source: Graphical Models, Vol 129, Iss, Pp 101185-(2023)

Subject Terms: Science, T1-995, Generative autoencoder, Structure hybrid, Shape completion, Technology (General), 3D modeling

Access URL: https://doaj.org/article/85ab1d36d15541b6aabfb1966b6ec099