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On the Viability of Diffusion MRI-Based Microstructural Biomarkers in Ischemic Stroke

Frontiers in neuroscience, 2018-02, Vol.12, p.92-92

2018

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XAI-Based Assessment of the AMURA Model for Detecting Amyloid-β and Tau Microstructural Signatures in Alzheimer's Disease

IEEE journal of translational engineering in health and medicine, 2024, Vol.12, p.569-579

2024

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Thalamus Segmentation Using Deep Learning with Diffusion MRI Data: An Open Benchmark

Applied sciences, 2023-04, Vol.13 (9), p.5284

2023

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Microstructural MRI Correlates of Cognitive Impairment in Multiple Sclerosis: The Role of Deep Gray Matter

Diagnostics (Basel), 2021-06, Vol.11 (6), p.1103

2021

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Monte Carlo Simulations of Water Exchange Through Myelin Wraps: Implications for Diffusion MRI

IEEE transactions on medical imaging, 2019-06, Vol.38 (6), p.1438-1445

2019

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A Systematic Review on Motor-Imagery Brain-Connectivity-Based Computer Interfaces

IEEE transactions on human-machine systems, 2021-12, Vol.51 (6), p.725-733

2021

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Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer’s Disease

Journal of biomedical informatics, 2024-01, Vol.149, p.104569-104569, Article 104569

2024

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What lies beneath? Diffusion EAP-based study of brain tissue microstructure

Medical image analysis, 2016-08, Vol.32, p.145-156

2016

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Investigating Explainable Artificial Intelligence for MRI-based Classification of Dementia: a New Stability Criterion for Explainable Methods

2022 IEEE International Conference on Image Processing (ICIP), 2022, p.4003-4007

2022

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Interpretable Deep Learning as a mean for decrypting disease signature in Multiple Sclerosis

Journal of neural engineering, 2021-07

2021

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Unraveling the MRI‐Based Microstructural Signatures Behind Primary Progressive and Relapsing–Remitting Multiple Sclerosis Phenotypes

Journal of magnetic resonance imaging, 2022-01, Vol.55 (1), p.154-163

2022

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Ensemble average propagator-based detection of microstructural alterations after stroke

International journal for computer assisted radiology and surgery, 2016-09, Vol.11 (9), p.1585-1597

2016

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Multivariate Data Analysis Suggests The Link Between Brain Microstructure And Cognitive Impairment In Multiple Sclerosis

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, p.685-688

2021

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Explainable 3D-CNN for Multiple Sclerosis Patients Stratification

Pattern Recognition. ICPR International Workshops and Challenges, p.103-114

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Can Diffusion MRI Reveal Stroke-Induced Microstructural Changes in GM?

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.464-471

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Microstructural Modulations in the Hippocampus Allow to Characterizing Relapsing-Remitting Versus Primary Progressive Multiple Sclerosis

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.70-79

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Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015, p.199-206

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Multi-Tensor MAPMRI: How to Estimate Microstructural Information from Crossing Fibers

Computational Diffusion MRI, p.65-74

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Motor-imagery EEG signal decoding using multichannel-empirical wavelet transform for brain computer interfaces

2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2022, p.1-4

2022

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Assessing Tissue Heterogeneity by non-Gaussian Measures in a Permeable Environment

2018 26th European Signal Processing Conference (EUSIPCO), 2018, Vol.2018-September, p.1147-1151

2018

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Explainable deep learning for decrypting disease signatures in multiple sclerosis

Explainable Deep Learning AI, 2023

2023

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Microstructural Description of Cerebral Tissues from Diffusion Spectrum Imaging Data

2014 IEEE International Conference on Healthcare Informatics, 2014, p.373-373

2014

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Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges

IEEE signal processing magazine, 2022-03, Vol.39 (2), p.99-116

2022

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On the Viability of Diffusion MRI-Based Microstructural Biomarkers in Ischemic Stroke

XAI-Based Assessment of the AMURA Model for Detecting Amyloid-β and Tau Microstructural Signatures in Alzheimer's Disease

Thalamus Segmentation Using Deep Learning with Diffusion MRI Data: An Open Benchmark

Microstructural MRI Correlates of Cognitive Impairment in Multiple Sclerosis: The Role of Deep Gray Matter

Monte Carlo Simulations of Water Exchange Through Myelin Wraps: Implications for Diffusion MRI

A Systematic Review on Motor-Imagery Brain-Connectivity-Based Computer Interfaces

Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer’s Disease

What lies beneath? Diffusion EAP-based study of brain tissue microstructure

Investigating Explainable Artificial Intelligence for MRI-based Classification of Dementia: a New Stability Criterion for Explainable Methods

Interpretable Deep Learning as a mean for decrypting disease signature in Multiple Sclerosis

Unraveling the MRI‐Based Microstructural Signatures Behind Primary Progressive and Relapsing–Remitting Multiple Sclerosis Phenotypes

Ensemble average propagator-based detection of microstructural alterations after stroke

Multivariate Data Analysis Suggests The Link Between Brain Microstructure And Cognitive Impairment In Multiple Sclerosis

Explainable 3D-CNN for Multiple Sclerosis Patients Stratification

Can Diffusion MRI Reveal Stroke-Induced Microstructural Changes in GM?

Microstructural Modulations in the Hippocampus Allow to Characterizing Relapsing-Remitting Versus Primary Progressive Multiple Sclerosis

Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke

Multi-Tensor MAPMRI: How to Estimate Microstructural Information from Crossing Fibers

Motor-imagery EEG signal decoding using multichannel-empirical wavelet transform for brain computer interfaces

Assessing Tissue Heterogeneity by non-Gaussian Measures in a Permeable Environment

Explainable deep learning for decrypting disease signatures in multiple sclerosis

Microstructural Description of Cerebral Tissues from Diffusion Spectrum Imaging Data

Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges

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