Lorenza Brusini

Orcid: 0000-0001-5357-5180

Affiliations:
  • University of Verona, Italy


According to our database1, Lorenza Brusini authored at least 20 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer's Disease.
J. Biomed. Informatics, January, 2024

Multimodal MRI-based Detection of Amyloid Status in Alzheimer's Disease Continuum.
CoRR, 2024

Diffusion MRI Allows Capturing the Amyloid-β and τ Proteins Status in Alzheimer's Disease Continuum.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2022
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges.
IEEE Signal Process. Mag., 2022

Investigating Explainable Artificial Intelligence for MRI-based Classification of Dementia: a New Stability Criterion for Explainable Methods.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Motor-imagery EEG signal decoding using multichannel-empirical wavelet transform for brain computer interfaces.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
A Systematic Review on Motor-Imagery Brain-Connectivity-Based Computer Interfaces.
IEEE Trans. Hum. Mach. Syst., 2021

Diffusion MRI and silver standard masks to improve CNN-based thalamus segmentation.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Multivariate Data Analysis Suggests The Link Between Brain Microstructure And Cognitive Impairment In Multiple Sclerosis.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Explainable 3D-CNN for Multiple Sclerosis Patients Stratification.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Microstructural Modulations in the Hippocampus Allow to Characterizing Relapsing-Remitting Versus Primary Progressive Multiple Sclerosis.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Monte Carlo Simulations of Water Exchange Through Myelin Wraps: Implications for Diffusion MRI.
IEEE Trans. Medical Imaging, 2019

Can Single Shell Diffusion MRI Detect Synaptic Plasticity in Mice?
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Can Diffusion MRI Reveal Stroke-Induced Microstructural Changes in GM?
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Assessing Tissue Heterogeneity by non-Gaussian Measures in a Permeable Environment.
Proceedings of the 26th European Signal Processing Conference, 2018

2016
What lies beneath? Diffusion EAP-based study of brain tissue microstructure.
Medical Image Anal., 2016

Ensemble average propagator-based detection of microstructural alterations after stroke.
Int. J. Comput. Assist. Radiol. Surg., 2016

Shore-based biomarkers allow patient versus control classification in stroke.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014
Microstructural Description of Cerebral Tissues from Diffusion Spectrum Imaging Data.
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014


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