Publikationen in Zusammenarbeit mit Forschern von Loughborough University (8)

2022

  1. A Seven-Layer Convolutional Neural Network for Chest CT-Based COVID-19 Diagnosis Using Stochastic Pooling

    IEEE Sensors Journal, Vol. 22, Núm. 18, pp. 17573-17582

2021

  1. Advances in data preprocessing for bio-medical data fusion: An overview of the methods, challenges, and prospects

    Information Fusion

  2. Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network

    Information Fusion, Vol. 67, pp. 208-229

  3. Explainable diagnosis of secondary pulmonary tuberculosis by graph rank-based average pooling neural network

    Journal of Ambient Intelligence and Humanized Computing

  4. IEEE Access Special Section Editorial: Emerging Deep Learning Theories and Methods for Biomedical Engineering

    IEEE Access

  5. Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

    Information Processing and Management, Vol. 58, Núm. 2

  6. Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling

    Complex and Intelligent Systems, Vol. 7, Núm. 3, pp. 1295-1310

2020

  1. Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

    Information Fusion, Vol. 64, pp. 149-187