GPCALMA, a mammographic CAD in a GRID connection. - Ubaldo Bottigli; Piergiorgio Cerello; Pasquale Delogu; Maria Evelina Fantacci; Francesco Fauci; Bruno Golosio; Adele Lauria; Ernesto Lopez Torres; Rosario Magro; Giovanni Luca Masala; Piernicola Oliva; Rosa Palmiero; et al. (CARS, 2003)

Computer-aided detection of pulmonary nodules in low-dose CT. - Pasquale Delogu; Maria Evelina Fantacci; Ilaria Gori; A. Preite Martinez; Alessandra Retico (CompIMAGE, 2006)

An automated system for lung nodule detection in low-dose computed tomography. - Ilaria Gori; Maria Evelina Fantacci; A. Preite Martinez; Alessandra Retico (Computer-Aided Diagnosis, 2007)

Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier. - Pasquale Delogu; Maria Evelina Fantacci; Parnian Kasae; Alessandra Retico (Comput. Biol. Medicine, 2007)

Lung nodule detection in low-dose and thin-slice computed tomography. - Alessandra Retico; Pasquale Delogu; Maria Evelina Fantacci; Ilaria Gori; A. Preite Martinez (Comput. Biol. Medicine, 2008)

A voxel-based neural approach (VBNA) to identify lung nodules in the ANODE09 study. - Alessandra Retico; Francesco Bagagli; Niccolò Camarlinghi; Carmela Carpentieri; Maria Evelina Fantacci; Ilaria Gori (Computer-Aided Diagnosis, 2009)

Pleural nodule identification in low-dose and thin-slice lung computed tomography. - Alessandra Retico; Maria Evelina Fantacci; Ilaria Gori; Parnian Kasae; Bruno Golosio; A. Piccioli; Piergiorgio Cerello; Giorgio De Nunzio; Sabina Sonia Tangaro (Comput. Biol. Medicine, 2009)

Selective reduction of CAD false-positive findings. - Niccolò Camarlinghi; Ilaria Gori; Alessandra Retico; Francesco Bagagli (Computer-Aided Diagnosis, 2010)

Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study. - Bram van Ginneken; Samuel G. Armato III; Bartjan de Hoop; Saskia van Amelsvoort-van de Vorst; Thomas Duindam; Meindert Niemeijer; Keelin Murphy; Arnold M. R. Schilham; Alessandra Retico; Maria Evelina Fantacci; Niccolò Camarlinghi; Francesco Bagagli; et al. (Medical Image Anal., 2010)

Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease. - Andrea Chincarini; Paolo Bosco; Piero Calvini; Gianluca Gemme; Mario Esposito; Chiara Olivieri; Luca Rei; Sandro Squarcia; Guido Rodriguez; Roberto Bellotti; Piergiorgio Cerello; Ivan De Mitri; et al. (NeuroImage, 2011)

Combination of computer-aided detection algorithms for automatic lung nodule identification. - Niccolò Camarlinghi; Ilaria Gori; Alessandra Retico; Roberto Bellotti; Paolo Bosco; Piergiorgio Cerello; Gianfranco Gargano; Ernesto Lopez Torres; Rosario Megna; Marco Peccarisi; Maria Evelina Fantacci (Int. J. Comput. Assist. Radiol. Surg., 2012)

Female children with autism spectrum disorder: An insight from mass-univariate and pattern classification analyses. - Sara Calderoni; Alessandra Retico; Laura Biagi; Raffaella Tancredi; Filippo Muratori; Michela Tosetti (NeuroImage, 2012)

Quantitative Scoring of Muscle Involvement in MRI of Neuromuscular Diseases. - Maria Evelina Fantacci; Guja Astrea; Roberta Battini; Alessandra Retico; Chiara Sottocornola; Michela Tosetti (BIOIMAGING, 2015)

A Web-based Computer Aided Detection System for Automated Search of Lung Nodules in Thoracic Computed Tomography Scans. - Maria Evelina Fantacci; Stefano Bagnasco; Niccolò Camarlinghi; Elisa Fiorina; Ernesto Lopez Torres; F. Pennanzio; Cristiana Peroni; Alessandra Retico; Marco Saletta; Chiara Sottocornola; Alberto Traverso; Piergiorgio Cerello (BIOINFORMATICS, 2015)

A non-invasive method for a quantitative evaluation of muscle involvement in MRI of Neuromuscular Diseases. - Maria Evelina Fantacci; Chiara Sottocornola; Alessandra Retico; Guja Astrea; Roberta Battini; Michela Tosetti (MeMeA, 2015)

Automated hippocampus segmentation with the Channeler Ant Model: Results on different datasets. - Elisa Fiorina; Francesco Pennazio; Cristiana Peroni; Ernesto Lopez Torres; Maria Evelina Fantacci; Alessandra Retico; Luca Rei; Andrea Chincarini; Paolo Bosco; Marina Boccardi; Martina Bocchetta; Piergiorgio Cerello (MeMeA, 2015)

Non-invasive assessment of Neuromuscular Disorders by 7 tesla Magnetic Resonance Imaging and Spectroscopy: Dedicated radio-frequency coil development. - Alessandra Retico; Riccardo Stara; Maria Evelina Fantacci; Alessandra Toncelli; Angelo Galante; Tiziana M. Florio; Marcello Alecci; Mirco Cosottini; Guja Astrea; Roberta Battini; Gianluigi Tiberi; Mauro Costagli; et al. (MeMeA, 2015)

A 7T double-tuned (1H/31P) microstrip surface RF coil for the IMAGO7 MR scanner. - Alessandra Retico; Assunta Vitacolonna; Angelo Galante; Tiziana M. Florio; Annamaria Cimini; Riccardo Stara; Gianluigi Tiberi; Michela Tosetti; Nunzia Fontana; Giuliano Manara; Agostino Monorchio; Marcello Alecci (MeMeA, 2015)

Magnetic Resonance Imaging at 7 Tesla with Dedicated Radiofrequency Coils - Application to Cervical Cord and Knee. - Maria Evelina Fantacci; Laura Biagi; Mirco Cosottini; Mauro Costagli; Massimo Marletta; Alessandra Retico; Riccardo Stara; Mark R. Symms; Gianluigi Tiberi; Virna Zampa; Michela Tosetti (BIODEVICES, 2016)

Processing Magnetic Resonance Image Features with One-class Support Vector Machines - Investigation of the Autism Spectrum Disorder Heterogeneity. - Ilaria Gori; Alessia Giuliano; Piernicola Oliva; Michela Tosetti; Filippo Muratori; Sara Calderoni; Alessandra Retico (BIOIMAGING, 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. - Alessandra Retico; Graziella Donatelli; Mauro Costagli; Laura Biagi; Maria Evelina Fantacci; Daniela Frosini; Gloria Tognoni; Mirco Cosottini; Michela Tosetti (BIOIMAGING, 2016)

ARIANNA: A research environment for neuroimaging studies in autism spectrum disorders. - Alessandra Retico; Silvia Arezzini; Paolo Bosco; Sara Calderoni; Alberto Ciampa; Simone Coscetti; Stefano Cuomo; Luca De Santis; Dario Fabiani; Maria Evelina Fantacci; Alessia Giuliano; Enrico Mazzoni; et al. (Comput. Biol. Medicine, 2017)

Evaluation of Dosimetric Properties in Full Field Digital Mammography (FFDM) - Development of a New Dose Index. - Chiara Sottocornola; Antonio Traino; Patrizio Barca; Giacomo Aringhieri; Carolina Marini; Alessandra Retico; Davide Caramella; Maria Evelina Fantacci (BIODEVICES, 2018)

Subject-specific knee SAR prediction using a degenerate birdcage at 7T. - Vito Gagliardi; Alessandra Retico; Laura Biagi; Giacomo Aringhieri; Virna Zampa; Mark R. Symms; Gianluigi Tiberi; Michela Tosetti (MeMeA, 2018)

Double Tuned 1H-23Na Birdcage Coils for MRI at 7 T : Performance evaluation through electromagnetic simulations. - Francesca Maggiorelli; Alessandra Retico; Eddy Boskamp; Fraser Robb; Angelo Galante; Marco Fantasia; Marcello Alecci; Michela Tosetti; Gianluigi Tiberi (MeMeA, 2018)

A new method to evaluate the average absorbed dose in mammography and breast tomosynthesis. - Chiara Sottocornola; Giacomo Aringhieri; Alessandra Retico; Antonio C. Traino; Carolina Marini; Davide Caramella; Patrizio Barca; Maria Evelina Fantacci (MeMeA, 2018)

Residual Convolutional Neural Networks for Breast Density Classification. - Francesca Lizzi; Stefano Atzori; Giacomo Aringhieri; Paolo Bosco; Carolina Marini; Alessandra Retico; Antonio C. Traino; Davide Caramella; Maria Evelina Fantacci (BIOINFORMATICS, 2019)

Residual Convolutional Neural Networks to Automatically Extract Significant Breast Density Features. - Francesca Lizzi; Francesco Laruina; Piernicola Oliva; Alessandra Retico; Maria Evelina Fantacci (CAIP Workshops, 2019)

Radiomic and Dosiomic Profiling of Paediatric Medulloblastoma Tumours Treated with Intensity Modulated Radiation Therapy. - Cinzia Talamonti; Stefano Piffer; Daniela Greto; Monica Mangoni; Antonio Ciccarone; Paolo Dicarolo; Maria Evelina Fantacci; Franco Fusi; Piernicola Oliva; Letizia Palumbo; Claudio Favre; Lorenzo Livi; et al. (CAIP Workshops, 2019)

Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T. - Guido Buonincontri; Laura Biagi; Alessandra Retico; Paolo Cecchi; Mirco Cosottini; Ferdia A. Gallagher; Pedro A. Gómez; Martin J. Graves; Mary A. McLean; Frank Riemer; Rolf F. Schulte; Michela Tosetti; et al. (NeuroImage, 2019)

3D Printing Materials for Physical Breast Phantoms: Monte Carlo Assessment and Experimental Validation. - Raffaele M. Tucciariello; Patrizio Barca; Davide Caramella; Rocco Lamastra; Alessandra Retico; Antonio Traino; Maria Evelina Fantacci (BIODEVICES, 2020)

Assessment of ultra-high-field Magnetic Resonance Imaging safety via temperature increase monitoring with Magnetic Resonance Thermometry. - Laura Biagi; Vito Gagliardi; Alessandra Retico; Massimo Marletta; Giacomo Aringhieri; Gianluigi Tiberi; Francesco Campanella; Michela Tosetti (MeMeA, 2020)

Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study. - Elisa Ferrari; Paolo Bosco; Sara Calderoni; Piernicola Oliva; Letizia Palumbo; Giovanna Spera; Maria Evelina Fantacci; Alessandra Retico (Artif. Intell. Medicine, 2020)

Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI). - Elisa Ferrari; Alessandra Retico; Davide Bacciu (Artif. Intell. Medicine, 2020)

Numerical and Workbench Design of 2.35 T Double-Tuned (¹H/²³Na) Nested RF Birdcage Coils Suitable for Animal Size MRI. - Marco Fantasia; Angelo Galante; Francesca Maggiorelli; Alessandra Retico; Nunzia Fontana; Agostino Monorchio; Marcello Alecci (IEEE Trans. Medical Imaging, 2020)

Voxelized Breast Phantoms for Dosimetry in Mammography. - Raffaele M. Tucciariello; Patrizio Barca; D. Del Sarto; Rocco Lamastra; Giovanni Mettivier; Alessandra Retico; Paolo Russo; Antonio Sarno; Antonio C. Traino; Maria Evelina Fantacci (BIOINFORMATICS, 2021)

Making Data Big for a Deep-learning Analysis: Aggregation of Public COVID-19 Datasets of Lung Computed Tomography Scans. - Francesca Lizzi; Francesca Brero; Raffaella Fiamma Cabini; Maria Evelina Fantacci; Stefano Piffer; Ian Postuma; Lisa Rinaldi; Alessandra Retico (DATA, 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. - Francesca Lizzi; Abramo Agosti; Francesca Brero; Raffaella Fiamma Cabini; Maria Evelina Fantacci; Silvia Figini; Alessandro Lascialfari; Francesco Laruina; Piernicola Oliva; Stefano Piffer; Ian Postuma; Lisa Rinaldi; et al. (CoRR, 2021)

Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T. - Guido Buonincontri; Jan W. Kurzawski; Joshua D. Kaggie; Tomasz Matys; Ferdia A. Gallagher; Matteo Cencini; Graziella Donatelli; Paolo Cecchi; Mirco Cosottini; Nicola Martini; Francesca Frijia; Domenico Montanaro; et al. (NeuroImage, 2021)

Analysis of a Flexible Dual-Channel Octagonal Coil System for UHF MRI. - Nicola Curreli; Matteo Bruno Lodi; Andrea Melis 002; Claudio Puddu; Sergio Casu; Alessandro Fanti; Nikola Djuric; Alessandra Retico; Giuseppe Mazzarella (IEEE Access, 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. - Francesca Lizzi; Abramo Agosti; Francesca Brero; Raffaella Fiamma Cabini; Maria Evelina Fantacci; Silvia Figini; Alessandro Lascialfari; Francesco Laruina; Piernicola Oliva; Stefano Piffer; Ian Postuma; Lisa Rinaldi; et al. (Int. J. Comput. Assist. Radiol. Surg., 2022)

Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report. - Camilla Scapicchio; Elena Ballante; Francesca Brero; Raffaella Fiamma Cabini; Andrea Chincarini; Maria Evelina Fantacci; Silvia Figini; Alessandro Lascialfari; Francesca Lizzi; Ian Postuma; Alessandra Retico (HEALTHINF, 2023)

Deep Learning and Medical Image Analysis: Epistemology and Ethical Issues. - Francesca Lizzi; Alessandra Retico; Maria Evelina Fantacci (IMPROVE, 2023)

Effect of data harmonization of multicentric dataset in ASD/TD classification. - Giacomo Serra; Francesca Mainas; Bruno Golosio; Alessandra Retico; Piernicola Oliva (Brain Informatics, 2023)

Integration and Optimization of XNAT-Based Platforms for the Management of Heterogeneous and Multicenter Data in Biomedical Research. - Camilla Scapicchio; Silvia Arezzini; Maria Evelina Fantacci; Antonino Formuso; Aafke Christine Kraan; Enrico Mazzoni; Sara Saponaro; Maria Irene Tenerani; Alessandra Retico (DATA, 2024)

Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation. - Arman Zafaranchi; Francesca Lizzi; Alessandra Retico; Camilla Scapicchio; Maria Evelina Fantacci (EXPLAINS, 2024)

A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data. - Francesca Lizzi; Francesca Brero; Maria Evelina Fantacci; Alessandro Lascialfari; Gianfranco Paternò; Ian Postuma; Piernicola Oliva; Camilla Scapicchio; Alessandra Retico (IWBBIO (2), 2024)

Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders. - Sara Saponaro; Francesca Lizzi; Giacomo Serra; Francesca Mainas; Piernicola Oliva; Alessia Giuliano; Sara Calderoni; Alessandra Retico (Brain Informatics, 2024)

Deep Learning Denoising of Low-Dose Computed Tomography Using Convolutional Autoencoder: A Phantom Study. - Simone Damiani; Manuela Imbriani; Francesca Lizzi; Mariagrazia Quattrocchi; Alessandra Retico; Sara Saponaro; Camilla Scapicchio; Alessandro Tofani; Arman Zafaranchi; Maria Irene Tenerani; Maria Evelina Fantacci (BIOSTEC (1), 2025)

Use of Radiomics in Low Dose Chest CT: A Proposal for a Phantom Multi-Centric Study. - Maria Irene Tenerani; Silvia Arezzini; Antonino Formuso; Francesca Lizzi; Enrico Mazzoni; Stefania Pallotta; Alessandra Retico; Camilla Scapicchio; Cinzia Talamonti; Maria Evelina Fantacci (BIOSTEC (1), 2025)

2.5D Deep Learning Model with Attention Mechanism for Pancreas Segmentation on CT Scans. - Idriss Cabrel Tsewalo Tondji; Francesca Lizzi; Camilla Scapicchio; Alessandra Retico (BIOSTEC (1), 2025)

Generative super-resolution AI accelerates nanoscale analysis of cells. - Simone Lossano; Simone Capaccioli; Francesca Cella Zanacchi; Eleonora Da Pozzo; Francesca Del Debbio; Maria Evelina Fantacci; Francesca Lizzi; Raffaella Magrassi; Benedetta Noferi; Dario Pisignano; Camilla Scapicchio; Alessandra Retico (Mach. Learn. Sci. Technol., 2025)

Hardware acceleration for ultra-fast Neural Network training on FPGA for MRF map reconstruction. - Mattia Ricchi; Fabrizio Alfonsi; Camilla Marella; Marco Barbieri; Alessandra Retico; Leonardo Brizi; Alessandro Gabrielli; Claudia Testa (CoRR, 2025)