Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation

Autor: Campello, Victor M., Gkontra, Polyxeni, Izquierdo, Cristian, Martin-Isla, Carlos, Sojoudi, Alireza, Full, Peter M., Maier-Hein, Klaus, Zhang, Yao, He, Zhiqiang, Ma, Jun, Parreno, Mario, Albiol, Alberto, Kong, Fanwei, Shadden, Shawn C., Corral Acero, Jorge, Sundaresan, Vaanathi, Saber, Mina, Elattar, Mustafa, Li, Hongwei, Menze, Bjoern, Khader, Firas, Haarburger, Christoph, Scannell, Cian M., Veta, Mitko, Carscadden, Adam, Punithakumar, Kumaradevan, Liu, Xiao, Tsaftaris, Sotirios A., Huang, Xiaoqiong, Yang, Xin, Li, Lei, Zhuang, Xiahai, Viladés Medel, David, Descalzo, Martin, Guala, Andrea, Mura, Lucía La, Friedrich, Matthias G., Garg, Ria, Lebel, Julie, Henriques, Filipe., Karakas, Mahir, Cavus, Ersin, Petersen, Steffen E., Escalera, Sergio, Segui, Santi, Rodriguez-Palomares, Jose F.., Lekadir, Karim, Universitat Autònoma de Barcelona

Publikováno v: Dipòsit Digital de la UB
Universidad de Barcelona
IEEE Transactions on Medical Imaging, 40(12), 3543-3554. Institute of Electrical and Electronics Engineers
IEEE Transactions on Medical Imaging
IEEE TRANSACTIONS ON MEDICAL IMAGING
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
instname

The emergence of deep learning has considerably advanced the state-of-the-art in cardiac magnetic resonance (CMR) segmentation. Many techniques have been proposed over the last few years, bringing the accuracy of automated segmentation close to human

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8f8c56c4b4fd85369adc4c2a3189522
http://www.scopus.com/inward/record.url?scp=85111157742&partnerID=8YFLogxK

Intra-cardiac pressure drop and flow distribution of bicuspid aortic valve disease in preserved ejection fraction

Autor: Aliabadi, Shirin, Sojoudi, Alireza, Bandali, Murad F., Bristow, Michael S., Lydell, Carmen, Fedak, Paul W. M., White, James A., Garcia, Julio

Publikováno v: Frontiers in Cardiovascular Medicine. 9

BackgroundBicuspid aortic valve (BAV) is more than a congenital defect since it is accompanied by several secondary complications that intensify induced impairments. Hence, BAV patients need lifelong evaluations to prevent severe clinical sequelae. W

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6a6e48ee3656ab5cfdb0cef775ff135
https://doi.org/10.3389/fcvm.2022.903277

Fully-automated deep learning-based flow quantification of 2D CINE phase contrast MRI.

Autor: Pradella, Maurice, Scott, Michael B., Omer, Muhammad, Hill, Seth K., Lockhart, Lisette, Yi, Xin, Amir-Khalili, Alborz, Sojoudi, Alireza, Allen, Bradley D., Avery, Ryan, Markl, Michael

Publikováno v: European Radiology; Mar2023, Vol. 33 Issue 3, p1707-1718, 12p, 1 Black and White Photograph, 1 Diagram, 3 Charts, 4 Graphs

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