156 related articles for article (PubMed ID: 29060840)
1. Using convolutional neural networks to explore the microbiome.
Reiman D; Metwally A; Yang Dai
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():4269-4272. PubMed ID: 29060840
[TBL] [Abstract][Full Text] [Related]
2. Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network Approach.
Reiman D; Farhat AM; Dai Y
Methods Mol Biol; 2021; 2190():249-266. PubMed ID: 32804370
[TBL] [Abstract][Full Text] [Related]
3. PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype From Metagenomic Data.
Reiman D; Metwally AA; Sun J; Dai Y
IEEE J Biomed Health Inform; 2020 Oct; 24(10):2993-3001. PubMed ID: 32396115
[TBL] [Abstract][Full Text] [Related]
4. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
Huang W; Xue Y; Wu Y
PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
[TBL] [Abstract][Full Text] [Related]
5. TMTCPT: The Tree Method based on the Taxonomic Categorization and the Phylogenetic Tree for fine-grained categorization.
Bameri F; Pourreza HR; Taherinia AH; Aliabadian M; Mortezapour HR; Abdilzadeh R
Biosystems; 2020 Jul; 195():104137. PubMed ID: 32360318
[TBL] [Abstract][Full Text] [Related]
6. Phylogenetic convolutional neural networks in metagenomics.
Fioravanti D; Giarratano Y; Maggio V; Agostinelli C; Chierici M; Jurman G; Furlanello C
BMC Bioinformatics; 2018 Mar; 19(Suppl 2):49. PubMed ID: 29536822
[TBL] [Abstract][Full Text] [Related]
7. Classification of Mammogram Images Using Multiscale all Convolutional Neural Network (MA-CNN).
Agnes SA; Anitha J; Pandian SIA; Peter JD
J Med Syst; 2019 Dec; 44(1):30. PubMed ID: 31838610
[TBL] [Abstract][Full Text] [Related]
8. A novel deep learning method for predictive modeling of microbiome data.
Wang Y; Bhattacharya T; Jiang Y; Qin X; Wang Y; Liu Y; Saykin AJ; Chen L
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32406914
[TBL] [Abstract][Full Text] [Related]
9. Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification.
Younghak Shin ; Balasingham I
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3277-3280. PubMed ID: 29060597
[TBL] [Abstract][Full Text] [Related]
10. Low-Rank Deep Convolutional Neural Network for Multitask Learning.
Su F; Shang HY; Wang JY
Comput Intell Neurosci; 2019; 2019():7410701. PubMed ID: 31236107
[TBL] [Abstract][Full Text] [Related]
11. Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI.
Fahimi F; Zhang Z; Goh WB; Lee TS; Ang KK; Guan C
J Neural Eng; 2019 Apr; 16(2):026007. PubMed ID: 30524056
[TBL] [Abstract][Full Text] [Related]
12. MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks.
Lo C; Marculescu R
BMC Bioinformatics; 2019 Jun; 20(Suppl 12):314. PubMed ID: 31216991
[TBL] [Abstract][Full Text] [Related]
13. Joint multiple fully connected convolutional neural network with extreme learning machine for hepatocellular carcinoma nuclei grading.
Li S; Jiang H; Pang W
Comput Biol Med; 2017 May; 84():156-167. PubMed ID: 28365546
[TBL] [Abstract][Full Text] [Related]
14. Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images.
Hu W; Zhang Y; Li L
Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31426516
[TBL] [Abstract][Full Text] [Related]
15. Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.
Banerjee I; Ling Y; Chen MC; Hasan SA; Langlotz CP; Moradzadeh N; Chapman B; Amrhein T; Mong D; Rubin DL; Farri O; Lungren MP
Artif Intell Med; 2019 Jun; 97():79-88. PubMed ID: 30477892
[TBL] [Abstract][Full Text] [Related]
16. Deep Convolutional Neural Network for Ulcer Recognition in Wireless Capsule Endoscopy: Experimental Feasibility and Optimization.
Wang S; Xing Y; Zhang L; Gao H; Zhang H
Comput Math Methods Med; 2019; 2019():7546215. PubMed ID: 31641370
[TBL] [Abstract][Full Text] [Related]
17. Classification of foodborne bacteria using hyperspectral microscope imaging technology coupled with convolutional neural networks
Kang R; Park B; Eady M; Ouyang Q; Chen K
Appl Microbiol Biotechnol; 2020 Apr; 104(7):3157-3166. PubMed ID: 32047991
[TBL] [Abstract][Full Text] [Related]
18. Design of deep convolutional networks for prediction of image rapid serial visual presentation events.
Zijing Mao ; Wan Xiang Yao ; Yufe Huang
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():2035-2038. PubMed ID: 29060296
[TBL] [Abstract][Full Text] [Related]
19. Integration of Random Forest Classifiers and Deep Convolutional Neural Networks for Classification and Biomolecular Modeling of Cancer Driver Mutations.
Agajanian S; Oluyemi O; Verkhivker GM
Front Mol Biosci; 2019; 6():44. PubMed ID: 31245384
[TBL] [Abstract][Full Text] [Related]
20. Relative location prediction in CT scan images using convolutional neural networks.
Guo J; Du H; Zhu J; Yan T; Qiu B
Comput Methods Programs Biomed; 2018 Jul; 160():43-49. PubMed ID: 29728245
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]