Publications (83) Publications in which a researcher has participated

filter_list Medical Physics

2024

  1. 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

  2. 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

  3. 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)

  4. Improved organs at risk segmentation based on modified U-Net with self-attention and consistency regularisation

    CAAI Transactions on Intelligence Technology, Vol. 9, Núm. 4, pp. 850-865

2023

  1. Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects

    Pharmacological Research, Vol. 197

  2. Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning

    Applied Soft Computing, Vol. 144

  3. 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

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

    Information Fusion

  5. Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism

    International Journal of Neural Systems, Vol. 33, Núm. 4

2022

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

    Biomedical Signal Processing and Control, Vol. 73

  2. Quantifying Differences between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images

    International Journal of Neural Systems, Vol. 32, Núm. 5

  3. Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks

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

  4. Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning

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

2021

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

    Information Fusion

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

    Frontiers in Neuroinformatics, Vol. 15

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

    Journal of Ambient Intelligence and Humanized Computing

  4. 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

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

    Sensors, Vol. 21, Núm. 11

  6. Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis

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

2020

  1. Estimating the Severity of Alzheimer's Disease using Convolutional Neural Networks and Magnetic Resonance Imaging Data

    2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020