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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

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Usefulness of Cardiac Computed Tomography in Coronary Risk Prediction : A Five-Year Follow-Up of the SPICA Study (Secure Prevention with Imaging of the Coronary Arteries)

Autor: Viladés Medel, David, Degano, Irene R., Subirana, Isaac, Descalzo, Martin, Padilla, Mireia, Mundet-Tudurí, Xavier, Carreras Costa, Francesc, Alomar Serrallach, Xavier, Camps-Vilaró, Anna, Elosua, Roberto, Marrugat, Jaume, Leta, Rubén, Universitat Autònoma de Barcelona

Publikováno v: Journal of Clinical Medicine
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
instname
Journal of Clinical Medicine, Vol 11, Iss 533, p 533 (2022)
Journal of Clinical Medicine; Volume 11; Issue 3; Pages: 533
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona

Accurate identification of individuals at high coronary risk would reduce acute coronary syndrome incidence and morbi-mortality. We analyzed the effect on coronary risk prediction of adding coronary artery calcification (CAC) and Segment Involvement

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6ee2697a7907a1c1f9cc9455b14f3b3
https://ddd.uab.cat/record/256040