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2020 – today
- 2023
[j3]Daniele M. Papetti
, Kirsten van Abeelen, Rhodri H. Davies, Roberto Menè, Francesca Heilbron, Francesco P. Perelli, Jessica Artico, Andreas Seraphim, James C. Moon, Gianfranco Parati, Hui Xue, Peter Kellman, Luigi P. Badano, Daniela Besozzi, Marco S. Nobile, Camilla Torlasco:
An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. Comput. Methods Programs Biomed. 229: 107321 (2023)- [j2]Marco S. Nobile, Giulia Capitoli, Virgil Sowirono, Francesca Clerici, Isabella Piga, Kirsten van Abeelen, Fulvio Magni, Fabio Pagni, Stefania Galimberti, Paolo Cazzaniga, Daniela Besozzi:
Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies. Expert Syst. Appl. 215: 119296 (2023) - [j1]Luca Neri, Matt T. Oberdier, Kirsten van Abeelen, Luca Menghini, Ethan Tumarkin, Hemantkumar Tripathi, Sujai Jaipalli, Alessandro Orro, Nazareno Paolocci, Ilaria Gallelli, Massimo Dall'Olio, Amir Beker, Richard T. Carrick, Claudio Borghi, Henry R. Halperin:
Electrocardiogram Monitoring Wearable Devices and Artificial-Intelligence-Enabled Diagnostic Capabilities: A Review. Sensors 23(10): 4805 (2023)
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