Adversary-Aware Multimodal Neural Networks for Cancer Susceptibility Prediction From Multiomics Data

Author:

Karim Md. Rezaul1ORCID,Islam Tanhim1ORCID,Lange Christoph1,Rebholz-Schuhmann Dietrich2ORCID,Decker Stefan1

Affiliation:

1. Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, Germany

2. ZB MED - Information Centre for Life Sciences, Cologne, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach;Expert Systems with Applications;2024-07

2. Multi-modality approaches for medical support systems: A systematic review of the last decade;Information Fusion;2024-03

3. MAF-CDR: Multi-Omics Data Integration for Cancer-Drug Response Prediction Model;2023 4th International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI);2023-08-04

4. A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion;Information Fusion;2023-08

5. Lung Cancer Stage Prediction Using Multi-Layer Perceptron and Deep Learning Classifier;2023 5th International Conference on Energy, Power and Environment: Towards Flexible Green Energy Technologies (ICEPE);2023-06-15

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