Alessandra Retico
Orcid: 0000-0001-5135-4472
According to our database1,
Alessandra Retico
authored at least 48 papers
between 2003 and 2024.
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Bibliography
2024
Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders.
Brain Informatics, December, 2024
A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data.
Proceedings of the Bioinformatics and Biomedical Engineering, 2024
Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation.
Proceedings of the 1st International Conference on Explainable AI for Neural and Symbolic Methods, 2024
Integration and Optimization of XNAT-Based Platforms for the Management of Heterogeneous and Multicenter Data in Biomedical Research.
Proceedings of the 13th International Conference on Data Science, 2024
2023
Brain Informatics, December, 2023
Proceedings of the 3rd International Conference on Image Processing and Vision Engineering, 2023
Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
2022
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria.
Int. J. Comput. Assist. Radiol. Surg., 2022
IEEE Access, 2022
2021
Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T.
NeuroImage, 2021
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria.
CoRR, 2021
Making Data Big for a Deep-learning Analysis: Aggregation of Public COVID-19 Datasets of Lung Computed Tomography Scans.
Proceedings of the 10th International Conference on Data Science, 2021
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
2020
Numerical and Workbench Design of 2.35 T Double-Tuned (¹H/²³Na) Nested RF Birdcage Coils Suitable for Animal Size MRI.
IEEE Trans. Medical Imaging, 2020
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI).
Artif. Intell. Medicine, 2020
Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study.
Artif. Intell. Medicine, 2020
Assessment of ultra-high-field Magnetic Resonance Imaging safety via temperature increase monitoring with Magnetic Resonance Thermometry.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
3D Printing Materials for Physical Breast Phantoms: Monte Carlo Assessment and Experimental Validation.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
2019
Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T.
NeuroImage, 2019
Radiomic and Dosiomic Profiling of Paediatric Medulloblastoma Tumours Treated with Intensity Modulated Radiation Therapy.
Proceedings of the Computer Analysis of Images and Patterns, 2019
Residual Convolutional Neural Networks to Automatically Extract Significant Breast Density Features.
Proceedings of the Computer Analysis of Images and Patterns, 2019
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019
2018
A new method to evaluate the average absorbed dose in mammography and breast tomosynthesis.
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018
Double Tuned <sup>1</sup>H-<sup>23</sup>Na Birdcage Coils for MRI at 7 T : Performance evaluation through electromagnetic simulations.
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018
Evaluation of Dosimetric Properties in Full Field Digital Mammography (FFDM) - Development of a New Dose Index.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018
2017
ARIANNA: A research environment for neuroimaging studies in autism spectrum disorders.
Comput. Biol. Medicine, 2017
2016
A Semiautomatic Image Processing Tool to Measure Small Structures in Magnetic Resonance Images of the Brain at 7 Tesla - Application to Hippocampus Subfields of Patients with Mild Cognitive Impairment.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016
Processing Magnetic Resonance Image Features with One-class Support Vector Machines - Investigation of the Autism Spectrum Disorder Heterogeneity.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016
Magnetic Resonance Imaging at 7 Tesla with Dedicated Radiofrequency Coils - Application to Cervical Cord and Knee.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016
2015
A 7T double-tuned (<sup>1</sup>H/<sup>31</sup>P) microstrip surface RF coil for the IMAGO7 MR scanner.
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015
Non-invasive assessment of Neuromuscular Disorders by 7 tesla Magnetic Resonance Imaging and Spectroscopy: Dedicated radio-frequency coil development.
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015
Automated hippocampus segmentation with the Channeler Ant Model: Results on different datasets.
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015
A non-invasive method for a quantitative evaluation of muscle involvement in MRI of Neuromuscular Diseases.
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015
A Web-based Computer Aided Detection System for Automated Search of Lung Nodules in Thoracic Computed Tomography Scans.
Proceedings of the BIOINFORMATICS 2015, 2015
Quantitative Scoring of Muscle Involvement in MRI of Neuromuscular Diseases.
Proceedings of the BIOIMAGING 2015, 2015
2012
Female children with autism spectrum disorder: An insight from mass-univariate and pattern classification analyses.
NeuroImage, 2012
Combination of computer-aided detection algorithms for automatic lung nodule identification.
Int. J. Comput. Assist. Radiol. Surg., 2012
2011
Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease.
NeuroImage, 2011
2010
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study.
Medical Image Anal., 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
2009
Comput. Biol. Medicine, 2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
Comput. Biol. Medicine, 2008
2007
Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier.
Comput. Biol. Medicine, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
2006
Computer-aided detection of pulmonary nodules in low-dose CT.
Proceedings of the Computational Modeling of Objects Represented in Images-Fundamentals, 2006
2003
GPCALMA, a mammographic CAD in a GRID connection.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003