DeLTA-BIT: an open-source probabilistic tractography-based deep learning framework for thalamic targeting in functional neurological disorders

Authors: Romeo, Mattia, Gagliardo, Cesare, Collura, Giorgio, Bruno, Eleonora, D'Oca, Maria Cristina, Midiri, Massimo, Lizzi, Francesca, Postuma, Ian, Lascialfari, Alessandro, Retico, Alessandra, Marrale, Maurizio

Subject Terms: Physics - Medical Physics

Access URL: http://arxiv.org/abs/2312.15462

Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders

Authors: Barzaghi, Leonardo, Brero, Francesca, Cabini, Raffaella Fiamma, Paoletti, Matteo, Monforte, Mauro, Lizzi, Francesca, Santini, Francesco, Deligianni, Xeni, Bergsland, Niels, Ravaglia, Sabrina, Cavagna, Lorenzo, Diamanti, Luca, Bonizzoni, Chiara, Lascialfari, Alessandro, Figini, Silvia, Ricci, Enzo, Postuma, Ian, Pichiecchio, Anna

Source: In Computer Methods and Programs in Biomedicine November 2024 256

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

Authors: Lizzi, Francesca, Agosti, Abramo, Brero, Francesca, Cabini, Raffaella Fiamma, Fantacci, Maria Evelina, Figini, Silvia, Lascialfari, Alessandro, Laruina, Francesco, Oliva, Piernicola, Piffer, Stefano, Postuma, Ian, Rinaldi, Lisa, Talamonti, Cinzia, Retico, Alessandra

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Physics - Medical Physics

Access URL: http://arxiv.org/abs/2105.02566

Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

Authors: Allahabadi, Himanshi, Amann, Julia, Balot, Isabelle, Beretta, Andrea, Binkley, Charles, Bozenhard, Jonas, Bruneault, Frederick, Brusseau, James, Candemir, Sema, Cappellini, Luca Alessandro, Chakraborty, Subrata, Cherciu, Nicoleta, Cociancig, Christina, Coffee, Megan, Ek, Irene, Espinosa-Leal, Leonardo, Farina, Davide, Fieux-Castagnet, Genevieve, Frauenfelder, Thomas, Gallucci, Alessio, Giuliani, Guya, Golda, Adam, van Halem, Irmhild, Hildt, Elisabeth, Holm, Sune, Kararigas, Georgios, Krier, Sebastien A., Kuhne, Ulrich, Lizzi, Francesca, Madai, Vince I., Markus, Aniek F., Masis, Serg, Mathez, Emilie Wiinblad, Mureddu, Francesco, Neri, Emanuele, Osika, Walter, Ozols, Matiss, Panigutti, Cecilia, Parent, Brendan, Pratesi, Francesca, Moreno-Sanchez, Pedro A., Sartor, Giovanni, Savardi, Mattia, Signoroni, Alberto, Sormunen, Hanna-Maria, Spezzatti, Andy, Srivastava, Adarsh, Stephansen, Annette F., Theng, Lau Bee, Tithi, Jesmin Jahan, Tuominen, Jarno, Umbrello, Steven, Vaccher, Filippo, Vetter, Dennis, Westerlund, Magnus, Wurth, Renee, Zicari, Roberto V.

Source: IEEE Transactions on Technology and Society. 3(4):272-289

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100168860902.0x000001&indx=1&recIds=ETOCvdc_100168860902.0x000001

Residual Convolutional Neural Networks to Automatically Extract Significant Breast Density Features
Computer analysis of images and patterns (International workshops)

Authors: Lizzi, Francesca, Laruina, Francesco, Oliva, Piernicola, Retico, Alessandra, Fantacci, Maria Evelina

Source: Communications in computer and information science. 1089:28-35

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN605465934&indx=1&recIds=ETOCCN605465934

Convolutional Neural Networks for Breast Density Classification: Performance and Explanation Insights.

Authors: Lizzi, Francesca^1,2,3, camilla.scapicchio@phd.unipi.itfrancesca.lizzi@sns.it, Scapicchio, Camilla^2,3, francesco.laruina@pi.infn.it, Laruina, Francesco^2,3, maria.evelina.fantacci@unipi.it, Retico, Alessandra², alessandra.retico@pi.infn.it, Fantacci, Maria Evelina^2,3

Source: Applied Sciences (2076-3417); Jan2022, Vol. 12 Issue 1, p148, 15p

Increasing toxicity of enrofloxacin over four generations of Daphnia magna

Authors: Dalla Bona, Mirco, Lizzi, Francesca, Borgato, Arianna, De Liguoro, Marco

Source: In Ecotoxicology and Environmental Safety October 2016 132:397-402

Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders.

Authors: Saponaro, Sara, Lizzi, Francesca, Serra, Giacomo, Mainas, Francesca, Oliva, Piernicola, Giuliano, Alessia, Calderoni, Sara, Retico, Alessandra

Source: Brain Informatics; 1/9/2024, Vol. 11 Issue 1, p1-13, 13p

Subject Terms: AUTISM spectrum disorders, DEEP learning, DEFAULT mode network, RECEIVER operating characteristic curves, FUNCTIONAL magnetic resonance imaging

A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia.

Authors: Scapicchio, Camilla, Chincarini, Andrea, Ballante, Elena, Berta, Luca, Bicci, Eleonora, Bortolotto, Chandra, Brero, Francesca, Cabini, Raffaella Fiamma, Cristofalo, Giuseppe, Fanni, Salvatore Claudio, Fantacci, Maria Evelina, Figini, Silvia, Galia, Massimo, Gemma, Pietro, Grassedonio, Emanuele, Lascialfari, Alessandro, Lenardi, Cristina, Lionetti, Alice, Lizzi, Francesca, Marrale, Maurizio

Source: European Radiology Experimental; 4/10/2023, Vol. 7 Issue 1, p1-14, 14p

Subject Terms: DEEP learning, COVID-19, RECEIVER operating characteristic curves, LUNGS, PNEUMONIA, SYSTEMATIZED Nomenclature of Medicine

EXPLAINING THE BEHAVIOUR OF A CONVOLUTIONAL NEURAL NETWORK FOR BREAST DENSITY ASSESSMENT

Authors: Scapicchio, Camilla, Retico, Alessandra, Lizzi, Francesca, Fantacci, Maria Evelina

Source: Physica medica. 104(S1):S42-S42

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100177857191.0x000001&indx=1&recIds=ETOCvdc_100177857191.0x000001

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.

Authors: Lizzi, Francesca, Agosti, Abramo, Brero, Francesca, Cabini, Raffaella Fiamma, Fantacci, Maria Evelina, Figini, Silvia, Lascialfari, Alessandro, Laruina, Francesco, Oliva, Piernicola, Piffer, Stefano, Postuma, Ian, Rinaldi, Lisa, Talamonti, Cinzia, Retico, Alessandra

Source: International Journal of Computer Assisted Radiology & Surgery; Feb2022, Vol. 17 Issue 2, p229-237, 9p

293 - EXPLAINING THE BEHAVIOUR OF A CONVOLUTIONAL NEURAL NETWORK FOR BREAST DENSITY ASSESSMENT

Authors: Scapicchio, Camilla, Retico, Alessandra, Lizzi, Francesca, Fantacci, Maria Evelina

Source: In Physica Medica December 2022 104 Supplement 1:S42-S42