Stefano Diciotti

Orcid: 0000-0001-8778-7819

According to our database1, Stefano Diciotti authored at least 24 papers between 2003 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Early prediction of Autism Spectrum Disorders through interaction analysis in home videos and explainable artificial intelligence.
Comput. Hum. Behav., November, 2023

2022
Longitudinal study of the effect of a 5-year exercise intervention on structural brain complexity in older adults. A Generation 100 substudy.
NeuroImage, 2022

Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets.
CoRR, 2022

2021
Deep Learning for Virus-Spreading Forecasting: a Brief Survey.
CoRR, 2021

Fractal Analysis of MRI Data at 7 T: How Much Complex Is the Cerebral Cortex?
IEEE Access, 2021

2020
3D Convolutional Neural Networks for Diagnosis of Alzheimer's Disease via Structural MRI.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2017
Development of digital phantoms based on a finite element model to simulate low-attenuation areas in CT imaging for pulmonary emphysema quantification.
Int. J. Comput. Assist. Radiol. Surg., 2017

Resting-state brain correlates of cardiovascular complexity.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Resting-state brain correlates of instantaneous autonomic outflow.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Prediction of Impaired Performance in Trail Making Test in MCI Patients With Small Vessel Disease Using DTI Data.
IEEE J. Biomed. Health Informatics, 2016

Assessment of spontaneous cardiovascular oscillations in Parkinson's disease.
Biomed. Signal Process. Control., 2016

Forecasting nanoparticle toxicity using nonlinear predictive regressor learning systems.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Development and analysis of a finite element model to simulate pulmonary emphysema in CT imaging.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Multimodal MRI classification in vascular mild cognitive impairment.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Lower Instantaneous Entropy of Heartbeat Dynamics Characterizes Cognitive Impairment in Parkinson's Disease.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
Increased Instability of Heartbeat Dynamics in Parkinson's Disease.
Proceedings of the Computing in Cardiology, 2013

2012
Identification of Mild Alzheimer's Disease through automated classification of structural MRI features.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Automated Segmentation Refinement of Small Lung Nodules in CT Scans by Local Shape Analysis.
IEEE Trans. Biomed. Eng., 2011

2010
The LoG Characteristic Scale: A Consistent Measurement of Lung Nodule Size in CT Imaging.
IEEE Trans. Medical Imaging, 2010

2008
3-D Segmentation Algorithm of Small Lung Nodules in Spiral CT Images.
IEEE Trans. Inf. Technol. Biomed., 2008

2007
Self-paced frequency of a simple motor task and brain activation: An fMRI study in healthy subjects using an on-line monitor device.
NeuroImage, 2007

Technology to Assist the Sick, the Elderly and People with Disabilities.
ERCIM News, 2007

2004
Matching of medical images by self-organizing neural networks.
Pattern Recognit. Lett., 2004

2003
Neural networks for computer-aided diagnosis: detection of lung nodules in chest radiograms.
IEEE Trans. Inf. Technol. Biomed., 2003


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