Gavino Faa

According to our database, Gavino Faa authored at least 9 papers between 2007 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Attention mechanisms in UNet variants for medical/non-medical image segmentation: A comprehensive and state-of-the-art narrative review.

Siddharth Gupta, Yogendra Chhetri, Amit Pandey, Akansha Singh, Mrinalini Bhagawati, Suneet K. Gupta, Neha Gupta, Surbhi Verma, Ekta Tiwari, Mustafa Al-Maini, Mostafa M. Fouda, Gavino Faa, Esma R. Isenovic, Andrew Laine, Luca Saba, Jasjit S. Suri

Comput. Biol. Medicine, 2026

Identification of high-risk genes and classification of acute myocardial infarction patients utilizing deep learning in a restricted cohort.

Krish Chaudhary, Narendra N. Khanna, Pankaj Kumar Jain, Rajesh Singh, Laura E. Mantella, Amer M. Johri, Gavino Faa, Mohamed Abbas, John R. Laird, Mustafa Al-Maini, Esma R. Isenovic, Luca Saba, Jasjit S. Suri

Comput. Biol. Medicine, 2026

2024

An Unsupervised Learning Tool for Plaque Tissue Characterization in Histopathological Images.

Matteo Fraschini, Massimo Castagnola, Luigi Barberini, Roberto Sanfilippo, Ferdinando Coghe, Luca Didaci, Riccardo Cau, Claudio Frongia, Mario Scartozzi, Luca Saba, Gavino Faa

Sensors, August, 2024

The Quest for the Application of Artificial Intelligence to Whole Slide Imaging: Unique Prospective from New Advanced Tools.

Gavino Faa, Massimo Castagnola, Luca Didaci, Fernando Coghe, Mario Scartozzi, Luca Saba, Matteo Fraschini

Algorithms, June, 2024

2022

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review.

Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul, Athanasios Protogeron, Petros P. Sfikakis, George D. Kitas, Narendra N. Khanna, Zoltan Ruzsa, Aditya M. Sharma, Sanjay Saxena, Gavino Faa, Kosmas I. Paraskevas, John R. Laird, Amer M. Johri, Luca Saba, Manudeep S. Kalra

Comput. Biol. Medicine, 2022

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.

Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri

Comput. Biol. Medicine, 2022

2021

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence.

Jasjit S. Suri, Sushant Agarwal, Suneet K. Gupta, Anudeep Puvvula, Mainak Biswas, Luca Saba, Arindam Bit, Gopal S. Tandel, Mohit Agarwal, Anubhav Patrick, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Paramjit S. Chadha, Amer M. Johri, J. Miguel Sanches, Narendra N. Khanna, D. Subbaram Naidu

Comput. Biol. Medicine, 2021

2020

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review.

Jasjit S. Suri, Anudeep Puvvula, Mainak Biswas, Misha Majhail, Luca Saba, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Paramjit S. Chadha, Amer M. Johri, J. Miguel Sanches, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, D. Subbaram Naidu

Comput. Biol. Medicine, 2020

2007

Texture Analysis of Liver Steatosis using GLCM and K-means Clustering.

Matteo Fraschini, Luigi Barberini, Pier Paolo Coni, Daniela Fanni, Gavino Faa, Luca Pilloni

Proceedings of the 2007 International Conference on Image Processing, 2007