Publications (35) JAVIER RAMÍREZ PÉREZ DE INESTROSA publications

filter_list Computer Vision and Pattern Recognition

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. 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. Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression

    Applied Soft Computing, Vol. 134

  2. Statistical significance maps based on machine learning. On the use of data-dependent upper bounds

    Proceedings - 2023 8th International Conference on Information and Network Technologies, ICINT 2023

2022

  1. 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)

  2. Tiled Sparse Coding in Eigenspaces for Image Classification

    International Journal of Neural Systems, Vol. 32, Núm. 3

  3. Uncertainty-driven ensembles of multi-scale deep architectures for image classification

    Information Fusion, Vol. 89, pp. 53-65

2021

  1. Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy

    Neurocomputing, Vol. 452, pp. 424-434

  2. Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities

    Information Fusion, Vol. 66, pp. 198-212

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

  2. Spatial Registration of Neuroimaging Data: Analysis of the Convenience of Performing Non-Affine Transformations

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

  3. Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 1, pp. 17-26

2019

  1. Assisted diagnosis of parkinsonism based on the striatal morphology

    International Journal of Neural Systems, Vol. 29, Núm. 9

  2. Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson’s Disease Dataset: A DaTSCAN Study

    Advances in Intelligent Systems and Computing

  3. Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling

    International Journal of Neural Systems

  4. Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis

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

  5. Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes

    Neurocomputing, Vol. 330, pp. 162-171

  6. On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging

    Pattern Recognition, Vol. 93, pp. 1-13

  7. Parkinson's disease detection using isosurfaces-based features and convolutional neural networks

    Frontiers in Neuroinformatics, Vol. 13

  8. Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder

    Advances in Intelligent Systems and Computing