SIPBA

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 Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia

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

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

   CAAI Transactions on Intelligence Technology

6. 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

7. Artificial Intelligence in Eye Movements Analysis for Alzheimer’s Disease Early Diagnosis

   Current Alzheimer Research, Vol. 21, Núm. 3, pp. 155-165

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

   Neurocomputing

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

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

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

    Computational Intelligence, Vol. 40, Núm. 3

11. 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)

12. 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)

13. Dopamine Pathway and Parkinson's Risk Variants Are Associated with Levodopa-Induced Dyskinesia

    Movement Disorders

14. 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

15. Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model

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

16. Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023

    Applied Intelligence, Vol. 54, Núm. 1, pp. 35-79

17. 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)

18. 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)

19. Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration

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

20. Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders

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