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Artificial Intelligence in Medicine
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April 24, 2024
Stable feature selection utilizing Graph Convolutional Neural Network and Layer-wise Relevance Propagation for biomarker discovery in breast cancer
Hryhorii Chereda, Andreas Leha, Tim Beißbarth
Plos One
|
October 15, 2021
Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning tasks
Halima Alachram, Hryhorii Chereda, Tim Beißbarth, et al.
Studies in Health Technology and Informatics
|
September 5, 2019
Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer
Hryhorii Chereda, Annalen Bleckmann, Frank Kramer, et al.
Bioinformatics (Oxford, England)
|
November 21, 2023
Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification
Bastian Pfeifer, Hryhorii Chereda, Roman Martin, et al.
Genome Medicine
|
March 12, 2021
Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer
Hryhorii Chereda, Annalen Bleckmann, Kerstin Menck, et al.
NPJ Digital Medicine
|
February 6, 2026
xGNN4MI: explainability of graph neural networks in 12-lead electrocardiography for cardiovascular disease classification
Miriam Cindy Maurer, Philip Hempel, Kristin Elisabeth Steinhaus, et al.
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Search research articles
Search
Showing results (1-10 of 6) with videos related to
Sort By:
Page
of 1
Artificial Intelligence in Medicine
|
April 24, 2024
Stable feature selection utilizing Graph Convolutional Neural Network and Layer-wise Relevance Propagation for biomarker discovery in breast cancer
Hryhorii Chereda, Andreas Leha, Tim Beißbarth
Plos One
|
October 15, 2021
Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning tasks
Halima Alachram, Hryhorii Chereda, Tim Beißbarth, et al.
Studies in Health Technology and Informatics
|
September 5, 2019
Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer
Hryhorii Chereda, Annalen Bleckmann, Frank Kramer, et al.
Bioinformatics (Oxford, England)
|
November 21, 2023
Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification
Bastian Pfeifer, Hryhorii Chereda, Roman Martin, et al.
Genome Medicine
|
March 12, 2021
Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer
Hryhorii Chereda, Annalen Bleckmann, Kerstin Menck, et al.
NPJ Digital Medicine
|
February 6, 2026
xGNN4MI: explainability of graph neural networks in 12-lead electrocardiography for cardiovascular disease classification
Miriam Cindy Maurer, Philip Hempel, Kristin Elisabeth Steinhaus, et al.
Page
of 1