JAVIER
RAMÍREZ PÉREZ DE INESTROSA
CATEDRÁTICO DE UNIVERSIDAD
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University of Cambridge
Cambridge, Reino UnidoPublicaciones en colaboración con investigadores/as de University of Cambridge (25)
2023
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A non-parametric statistical inference framework for Deep Learning in current neuroimaging
Information Fusion, Vol. 91, pp. 598-611
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Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects
Pharmacological Research, Vol. 197
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Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information Fusion, Vol. 100
2022
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A Connection between Pattern Classification by Machine Learning and Statistical Inference with the General Linear Model
IEEE Journal of Biomedical and Health Informatics, Vol. 26, Núm. 11, pp. 5332-5343
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Quantifying Differences between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images
International Journal of Neural Systems, Vol. 32, Núm. 5
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Standardization of Agnostic Learning Techniques in Neuroimaging: a Case Study in EEG
2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
2021
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Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities
Information Fusion, Vol. 66, pp. 198-212
2020
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Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation
Information Fusion, Vol. 64, pp. 149-187
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Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Neurocomputing, Vol. 410, pp. 237-270
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Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning
Information Fusion, Vol. 58, pp. 153-167
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Granger causality-based information fusion applied to electrical measurements from power transformers
Information Fusion, Vol. 57, pp. 59-70
2019
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A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms
International Journal of Neural Systems, Vol. 29, Núm. 7
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On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging
Pattern Recognition, Vol. 93, pp. 1-13
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Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression
Integrated Computer-Aided Engineering, Vol. 26, Núm. 4, pp. 411-426
2018
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Assessing mild cognitive impairment progression using a spherical brain mapping of magnetic resonance imaging
Journal of Alzheimer's Disease, Vol. 65, Núm. 3, pp. 713-729
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Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?
International Journal of Neural Systems, Vol. 28, Núm. 10
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Discriminative sparse features for alzheimer’s disease diagnosis using multimodal image data
Current Alzheimer Research, Vol. 15, Núm. 1, pp. 67-79
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Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares
Journal of Neuroscience Methods, Vol. 302, pp. 47-57
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Machine-learning neuroimaging challenge for automated diagnosis of mild cognitive impairment: Lessons learnt
Journal of Neuroscience Methods
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Multivariate approaches in neuroimaging: Assessing the connectome of Alzheimer's disease
Journal of Alzheimer's Disease