c3dlab.it | Rosato A

Scientific Reports 2023; 13: 17448. DOI: 10.1038/s41598-023-44568-8

Lumped-parameter model as a non-invasive tool to assess coronary blood flow in AAOCA patients
Cesarani V, Lo Rito M, Agnifili ML, Pascaner AF, Rosato A, Anglese S, De Amici M, Negri J, Corrado C, Bedogni F, Secchi F, Lombardi M, Auricchio F, Frigiola A, Conti M
Applied Sciences 2023; 13(20): 11185. DOI: 10.3390/app132011185

Assessment of Intramural Segment Compression in Anomalous Coronary Arteries through Patient Specific Finite Element Modeling
Rosato A, Lo Rito M, Anglese S, Ceserani V, Pascaner AF, Secchi F, Conti M
Expert Reviews of Medical Devices 2024; 21(12):1121-1130. DOI: 10.1080/17434440.2024.2431724

Planning the use of endografts in the endovascular repair of complex abdominal and thoraco-abdominal aortic lesions leveraging 3D printing
Mazzaccaro M, Sturla F, Rosato A, Righini P, Nano G
Journal of Imaging Informatics in Medicine 2024; 37: 884–891. DOI: 10.1007/s10278-023-00950-6

Automatic 3D Segmentation and Identification of Anomalous Aortic Origin of the Coronary Arteries Combining Multi-view 2D Convolutional Neural Networks
Pascaner AF, Rosato A, Fantazzini A, Vincenzi E, Basso C, Secchi F, Lo Rito M, Conti M

Rosato A