Publications (95) Publications in which a researcher has participated

filter_list Artificial Intelligence

2024

  1. 2D and 3D segmentation of organs using artificial intelligence

    Advances in Artificial Intelligence: Biomedical Engineering Applications in Signals and Imaging (Elsevier), pp. 437-490

  2. A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test

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

  3. A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson’s Disease

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

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

    CAAI Transactions on Intelligence Technology, Vol. 9, Núm. 6, pp. 1347-1360

  5. Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions

    Expert Systems with Applications, Vol. 255

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

    Neurocomputing

  7. Bridging Imaging and Clinical Scores in Parkinson's Progression via Multimodal Self-Supervised Deep Learning

    International Journal of Neural Systems, Vol. 34, Núm. 8

  8. Deep learning for personalized health monitoring and prediction: A review

    Computational Intelligence, Vol. 40, Núm. 3

  9. Deep learning in crowd counting: A survey

    CAAI Transactions on Intelligence Technology, Vol. 9, Núm. 5, pp. 1043-1077

  10. Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI

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

  11. Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models

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

  12. 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

  13. Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm

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

  14. Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications

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

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

    CAAI Transactions on Intelligence Technology, Vol. 9, Núm. 4, pp. 866-878

  16. Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier

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

  17. Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis

    Human Brain Mapping, Vol. 45, Núm. 5

  18. Stationary Wavelet Entropy and Cat Swarm Optimization to Detect COVID-19

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

  19. Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis

    Interdisciplinary Sciences - Computational Life Sciences, Vol. 16, Núm. 4, pp. 1005-1018

2023

  1. A non-parametric statistical inference framework for Deep Learning in current neuroimaging

    Information Fusion, Vol. 91, pp. 598-611