Golnaz Jalalahmadi, María Helguera, Cristian A. Linte. A machine leaning approach for abdominal aortic aneurysm severity assessment using geometric, biomechanical, and patient-specific historical clinical features. In Andrzej Król, Barjor S. Gimi, editors, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, Houston, TX, USA, February 15-20, 2020. Volume 11317 of SPIE Proceedings, pages 1131713, SPIE, 2020. [doi]
@inproceedings{JalalahmadiHL20, title = {A machine leaning approach for abdominal aortic aneurysm severity assessment using geometric, biomechanical, and patient-specific historical clinical features}, author = {Golnaz Jalalahmadi and María Helguera and Cristian A. Linte}, year = {2020}, doi = {10.1117/12.2549277}, url = {https://doi.org/10.1117/12.2549277}, researchr = {https://researchr.org/publication/JalalahmadiHL20}, cites = {0}, citedby = {0}, pages = {1131713}, booktitle = {Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, Houston, TX, USA, February 15-20, 2020}, editor = {Andrzej Król and Barjor S. Gimi}, volume = {11317}, series = {SPIE Proceedings}, publisher = {SPIE}, isbn = {9781510634015}, }