deep neural networks (dnns) for predictive modeling Search Results


candidate architectures  (Genovis Inc)
93
Genovis Inc candidate architectures
Candidate Architectures, supplied by Genovis Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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candidate architectures - by Bioz Stars, 2026-04
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neural network toolbox  (MathWorks Inc)
96
MathWorks Inc neural network toolbox
Neural Network Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 96 stars, based on 1 article reviews
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deep neural network tool  (Neurophet Inc)
90
Neurophet Inc deep neural network tool
Deep Neural Network Tool, supplied by Neurophet Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ultrasound images  (Johns Hopkins HealthCare)
90
Johns Hopkins HealthCare ultrasound images
Ultrasound Images, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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convolutional neural network  (Deep Space Industries)
90
Deep Space Industries convolutional neural network
Summary of AI methods in Spatial Transcriptomics Analysis.
Convolutional Neural Network, supplied by Deep Space Industries, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
convolutional neural network - by Bioz Stars, 2026-04
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deep neural network  (Baier labs)
90
Baier labs deep neural network
Summary of AI methods in Spatial Transcriptomics Analysis.
Deep Neural Network, supplied by Baier labs, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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essidor and kaggle datasets  (Kaggle Inc)
90
Kaggle Inc essidor and kaggle datasets
Summary of AI methods in Spatial Transcriptomics Analysis.
Essidor And Kaggle Datasets, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
essidor and kaggle datasets - by Bioz Stars, 2026-04
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spectro-temporal deep neural network  (SPECTRO Analytical)
90
SPECTRO Analytical spectro-temporal deep neural network
Summary of AI methods in Spatial Transcriptomics Analysis.
Spectro Temporal Deep Neural Network, supplied by SPECTRO Analytical, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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3tp u-net deep convolutional neural network  (Marrone Bio Innovations)
90
Marrone Bio Innovations 3tp u-net deep convolutional neural network
Summary of AI methods in Spatial Transcriptomics Analysis.
3tp U Net Deep Convolutional Neural Network, supplied by Marrone Bio Innovations, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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3tp u-net deep convolutional neural network - by Bioz Stars, 2026-04
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deep neural network program alphago  (Deepmind Technologies Ltd)
90
Deepmind Technologies Ltd deep neural network program alphago
Summary of AI methods in Spatial Transcriptomics Analysis.
Deep Neural Network Program Alphago, supplied by Deepmind Technologies Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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deep convolutional neural networks  (Multimed Inc)
90
Multimed Inc deep convolutional neural networks
Summary of AI methods in Spatial Transcriptomics Analysis.
Deep Convolutional Neural Networks, supplied by Multimed Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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convolutional neural network  (SoftMax Inc)
90
SoftMax Inc convolutional neural network
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
Convolutional Neural Network, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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Image Search Results


Summary of AI methods in Spatial Transcriptomics Analysis.

Journal: Computational and Structural Biotechnology Journal

Article Title: Emerging artificial intelligence applications in Spatial Transcriptomics analysis

doi: 10.1016/j.csbj.2022.05.056

Figure Lengend Snippet: Summary of AI methods in Spatial Transcriptomics Analysis.

Article Snippet: DeepSpaCE is a semi-supervised learning method that imputes spatial gene expression from H&E images and enhances the resolution of ST data using convolutional neural networks.

Techniques: Software, Gene Expression, Comparison, Expressing, Generated, Introduce

General schematic of (a) the fully connected neural network, (b) the convolutional neural network, (c) the graph convolutional neural network, and (d) the autoencoder.

Journal: Computational and Structural Biotechnology Journal

Article Title: Emerging artificial intelligence applications in Spatial Transcriptomics analysis

doi: 10.1016/j.csbj.2022.05.056

Figure Lengend Snippet: General schematic of (a) the fully connected neural network, (b) the convolutional neural network, (c) the graph convolutional neural network, and (d) the autoencoder.

Article Snippet: DeepSpaCE is a semi-supervised learning method that imputes spatial gene expression from H&E images and enhances the resolution of ST data using convolutional neural networks.

Techniques:

Comparison of the proposed CNN model with other works in terms of accuracy of the recognition rate.

Journal: PeerJ Computer Science

Article Title: An efficient multi-factor authentication scheme based CNNs for securing ATMs over cognitive-IoT

doi: 10.7717/peerj-cs.381

Figure Lengend Snippet: Comparison of the proposed CNN model with other works in terms of accuracy of the recognition rate.

Article Snippet: Iris recognition using deep Convolutional Neural Network (CNN) as a feature extractor and fully connected neural network (FCNN), with the Softmax layer as a classifier, is presented.

Techniques: Comparison, Extraction, Isolation