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

Pharmacological research, 2023-11, Vol.197, p.106984-106984, Article 106984

2023

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Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review

Journal of medical Internet research, 2023-10, Vol.25 (6), p.e47346-e47346

2023

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Neural representation of current and intended task sets during sequential judgements on human faces

NeuroImage (Orlando, Fla.), 2020-01, Vol.204, p.116219-116219, Article 116219

2020

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Data fusion based on Searchlight analysis for the prediction of Alzheimer’s disease

Expert systems with applications, 2021-12, Vol.185, p.115549, Article 115549

2021

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Representational Organization of Novel Task Sets during Proactive Encoding

The Journal of neuroscience, 2019-10, Vol.39 (42), p.8386-8397

2019

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Transient and Sustained Control Mechanisms Supporting Novel Instructed Behavior

Cerebral cortex (New York, N.Y. 1991), 2019-08, Vol.29 (9), p.3948-3960

2019

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

International journal of neural systems, 2023-04, Vol.33 (4), p.2350019

2023

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Tiled Sparse Coding in Eigenspaces for Image Classification

International journal of neural systems, 2022-03, Vol.32 (3), p.2250007

2022

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Neural representations of social valence bias economic interpersonal choices

Neuropsychologia, 2020-10, Vol.147, p.107584-107584, Article 107584

2020

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Influence of activation pattern estimates and statistical significance tests in fMRI decoding analysis

Journal of neuroscience methods, 2018-10, Vol.308, p.248-260

2018

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Encoding, preparation and implementation of novel complex verbal instructions

NeuroImage (Orlando, Fla.), 2017-03, Vol.148, p.264-273

2017

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Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern

International journal of neural systems, 2023-04, Vol.33 (4), p.2350015

2023

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

Interdisciplinary sciences : computational life sciences, 2024-12, Vol.16 (4), p.1005-1018

2024

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Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data

Neuroinformatics (Totowa, N.J.), 2020-04, Vol.18 (2), p.219-236

2020

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Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification

IEEE transactions on emerging topics in computational intelligence, 2023-10, Vol.7 (5), p.1-11

2023

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

Artificial Intelligence for Neuroscience and Emotional Systems, 2024, Vol.14674, p.118-127

2024

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

Artificial Intelligence for Neuroscience and Emotional Systems, 2024, Vol.14674, p.78-87

2024

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

Artificial Intelligence for Neuroscience and Emotional Systems, 2024, Vol.14674, p.191-200

2024

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

Applied soft computing, 2023-02, Vol.134, p.109991, Article 109991

2023

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

Information fusion, 2023-01, Vol.89, p.53-65

2023

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Identifying HRV patterns in ECG signals as early markers of dementia

Expert systems with applications, 2024-06, Vol.243, p.122934, Article 122934

2024

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Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data

ACM transactions on multimedia computing communications and applications, 2021-10, Vol.17 (3s), p.1-24, Article 104

2021

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CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources

Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022, p.23-33

2022

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

Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022, p.156-165

2022

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Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease

Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022, p.166-175

2022

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

Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review

Neural representation of current and intended task sets during sequential judgements on human faces

Data fusion based on Searchlight analysis for the prediction of Alzheimer’s disease

Representational Organization of Novel Task Sets during Proactive Encoding

Transient and Sustained Control Mechanisms Supporting Novel Instructed Behavior

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

Tiled Sparse Coding in Eigenspaces for Image Classification

Neural representations of social valence bias economic interpersonal choices

Influence of activation pattern estimates and statistical significance tests in fMRI decoding analysis

Encoding, preparation and implementation of novel complex verbal instructions

Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern

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

Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data

Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification

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

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

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

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

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

Identifying HRV patterns in ECG signals as early markers of dementia

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data

CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources

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

Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease

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