Publikationen in Zusammenarbeit mit Forschern von Deakin University (21)

2024

  1. A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm

    CAAI Transactions on Intelligence Technology

  2. Automated detection and forecasting of COVID-19 using deep learning techniques: A review

    Neurocomputing

  3. ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration

    Physiological Measurement, Vol. 45, Núm. 5

  4. GAN-MD: A myocarditis detection using multi-channel convolutional neural networks and generative adversarial network-based data augmentation

    CAAI Transactions on Intelligence Technology

  5. Hypertrophic Cardiomyopathy Diagnosis Using Deep Learning Techniques

    Human-centric Computing and Information Sciences, Vol. 14, pp. 1-21

  6. Using Data Mining Techniques to Analyze Facial Expression Motion Vectors

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  7. What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors

    Information Systems Frontiers

2023

  1. Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review

    Computers in Biology and Medicine, Vol. 160

  2. Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression

    Cognitive Neurodynamics, Vol. 17, Núm. 6, pp. 1501-1523

  3. Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review

    Information Fusion

2022

  1. An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works

    Computers in Biology and Medicine, Vol. 146

  2. An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

    Computers in Biology and Medicine, Vol. 149

  3. Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

    Frontiers in Molecular Neuroscience, Vol. 15

  4. Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies

    Biomedical Signal Processing and Control, Vol. 73

  5. Editorial: Intelligent Recognition and Detection in Neuroimaging

    Frontiers in Neuroscience

2021

  1. Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review

    Computers in Biology and Medicine, Vol. 136

  2. Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

    Frontiers in Neuroinformatics, Vol. 15

  3. Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

    Scientific Reports, Vol. 11, Núm. 1

  4. Medical images encryption based on adaptive-robust multi-mode synchronization of chen hyper-chaotic systems

    Sensors, Vol. 21, Núm. 11

  5. Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

    Results in Physics, Vol. 27