Chest X-Ray analysis

 

Unveiling the Lungs through Deep Learning: A Peek into Chest X-ray Analysis Projects

These projects highlight the multifaceted applications of deep learning in chest X-ray analysis, offering promising advancements in various areas of healthcare.

BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset

Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina

Publication date: 2021/7/1
Journal: Medical Image Analysis

Deep learning to detect significant coronary artery disease from plain chest radiographs

G D’Ancona, M Massussi, M Savardi, A Signoroni, L Di Bacco, D Farina, M Metra, R Maroldi, C Muneretto, H Ince, F Marinoni, G Chizzola, S Curello, S Benussi

Publication date: 2023/1/1
Journal: International Journal of Cardiology

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

Mattia Savardi, Alberto Signoroni, Roberto V Zicari, et Al.

Publication date: 2022/7/29
Journal: IEEE transactions on technology and society

Deep learning to detect significant coronary artery disease from plain chest radiographs AI4CAD

Giuseppe D’Ancona, Mauro Massussi, Mattia Savardi, Alberto Signoroni, Lorenzo Di Bacco, Davide Farina, Marco Metra, Roberto Maroldi, Claudio Muneretto, Hüseyin Ince, Davide Costabile, Monica Murero, Giuliano Chizzola, Salvatore Curello, Stefano Benussi

Publication date: 2023/1/1
Journal: International Journal of Cardiology