Maria Evelina Fantacci

Orcid: 0000-0003-2130-4372

According to our database1, Maria Evelina Fantacci authored at least 49 papers between 1998 and 2024.

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

Timeline

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Bibliography

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

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

Characterization and Quantification of Image Quality in CT Imaging Systems: A Phantom Study.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
Deep Learning and Medical Image Analysis: Epistemology and Ethical Issues.
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

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

Voxelized Breast Phantoms for Dosimetry in Mammography.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020
Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study.
Artif. Intell. Medicine, 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

Image Quality Comparison between Synthetic 2D Mammograms Obtained with 15º and 40º X-ray Tube Angular Range: A Quantitative Phantom Study.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019
Deep-Learning Based Analyses of Mammograms to Improve the Estimation of Breast Cancer Risk.
ERCIM News, 2019

MRIndex: A tool for evaluating muscle involvement in neuromuscular diseases from MRI images.
Proceedings of the IEEE 23rd International Symposium on Consumer Technologies, 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

Monte Carlo Methods for Assessment of the Mean Glandular Dose in Mammography: Simulations in Homogeneous Phantoms.
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

Residual Convolutional Neural Networks for Breast Density Classification.
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

Image Quality Comparison between Digital and Synthetic 2D Mammograms: A Qualitative and Quantitative Phantom Study.
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

InGene: a multimodal approach to the genotype-phenotype association in neuromuscular diseases.
Proceedings of the 8th IEEE International Conference on Consumer Electronics - Berlin, 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

Evaluation of the Adaptive Statistical Iterative Reconstruction Algorithm in Chest CT (Computed Tomography) - A Preliminary Study toward Its Employment in Low Dose Applications, Also in Conjunction with CAD (Computer Aided Detection).
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
Medical Image Anal., 2017

ARIANNA: A research environment for neuroimaging studies in autism spectrum disorders.
Comput. Biol. Medicine, 2017

A Web- and Cloud- based Service for the Clinical Use of a CAD (Computer Aided Detection) System - Automated Detection of Lung Nodules in Thoracic CTs (Computed Tomographies).
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

Evaluation of the Imaging Properties of a CT Scanner with the Adaptive Statistical Iterative Reconstruction Algorithm - Noise, Contrast and Spatial Resolution Properties of CT Images Reconstructed at Different Blending Levels.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - Volume 1: BIODEVICES, Porto, 2017

2016
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge.
CoRR, 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

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
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
Combination of computer-aided detection algorithms for automatic lung nodule identification.
Int. J. Comput. Assist. Radiol. Surg., 2012

Fully automated hippocampus segmentation with virtual ant colonies.
Proceedings of CBMS 2012, 2012

2010
3-D object segmentation using ant colonies.
Pattern Recognit., 2010

Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study.
Medical Image Anal., 2010

2009
Pleural nodule identification in low-dose and thin-slice lung computed tomography.
Comput. Biol. Medicine, 2009

A voxel-based neural approach (VBNA) to identify lung nodules in the ANODE09 study.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008
Lung nodule detection in low-dose and thin-slice computed tomography.
Comput. Biol. Medicine, 2008

2007
Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier.
Comput. Biol. Medicine, 2007

An automated system for lung nodule detection in low-dose computed tomography.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007

2006
GPCALMA: An Italian Mammographic Database of Digitized Images for Research.
Proceedings of the Digital Mammography, 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

2002
Search of microcalcification clusters with the CALMA CAD station.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

1998
The Calma Project.
Proceedings of the Digital Mammography, 1998


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