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Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape prior.

P. Morais, S. Queiros, C. Pereira, A. Moreira, M. Baptista, N. Rodrigues, J. D'hooge, D. Barbosa, and J. Vilaça. Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491F. SPIE, (2019)

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Gil dos Santos Guerreiro João

João Barros

João Fonseca

João Carreira

João Matos

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Fast left ventricle tracking in CMR images using localized anatomical affine optical flow.S. Queiros, J. Vilaça, P. Morais, J. Fonseca, J. D'hooge, and D. Barbosa. Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 941306. SPIE, (2015)Pectus excavatum postsurgical outcome based on preoperative soft body dynamics simulation.A. Moreira, P. Rodrigues, J. Fonseca, A. Pinho, N. Rodrigues, J. Correia-Pinto, and J. Vilaça. Medical Imaging: Image-Guided Procedures, volume 8316 of SPIE Proceedings, page 83160K. SPIE, (2012)Deep learning-based detection of anthropometric landmarks in 3D infants head models.H. Torres, B. Oliveira, F. Veloso, M. Ruediger, W. Burkhardt, A. Moreira, N. Dias, P. Morais, J. Fonseca, and J. Vilaça. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095034. SPIE, (2019)Aortic Valve Tract Segmentation From 3D-TEE Using Shape-Based B-Spline Explicit Active Surfaces.S. Queiros, A. Papachristidis, D. Barbosa, K. Theodoropoulos, J. Fonseca, M. Monaghan, J. Vilaça, and J. D'hooge. IEEE Trans. Medical Imaging, 35 (9): 2015-2025 (2016)Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation.M. Fernández-Rodríguez, B. Silva, S. Queirós, H. Torres, B. Oliveira, P. Morais, L. Buschle, J. Correia-Pinto, E. Lima, and J. Vilaça. CoRR, (2024)Fast automatic myocardial segmentation in 4D cine CMR datasets.S. Queiros, D. Barbosa, B. Heyde, P. Morais, J. Vilaça, D. Friboulet, O. Bernard, and J. D'hooge. Medical Image Anal., 18 (7): 1115-1131 (2014)CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.C. Nwoye, D. Alapatt, T. Yu, A. Vardazaryan, F. Xia, Z. Zhao, T. Xia, F. Jia, Y. Yang, H. Wang and 52 other author(s). CoRR, (2022)Fully Automatic 3-D-TEE Segmentation for the Planning of Transcatheter Aortic Valve Implantation.S. Queiros, A. Papachristidis, P. Morais, K. Theodoropoulos, J. Fonseca, M. Monaghan, J. Vilaça, and J. D'hooge. IEEE Trans. Biomed. Eng., 64 (8): 1711-1720 (2017)Characterization of the Workspace and Limits of Operation of Laser Treatments for Vascular Lesions of the Lower Limbs.B. Oliveira, P. Morais, H. Torres, A. Baptista, J. Fonseca, and J. Vilaça. Sensors, 22 (19): 7481 (2022)Exploring current communication frameworks for medical teleoperation.V. Oliveira, P. Morais, B. Oliveira, J. Vilaça, and A. Moreira. SEGAH, page 1-6. IEEE, (2021)

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Disambiguation of "Vilaça, João L."

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Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape prior.

Please choose a person to relate this publication to

Gil dos Santos Guerreiro João

João Barros

João Fonseca

João Carreira

João Matos

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Vilaça, João L."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape prior.

Please choose a person to relate this publication to

Gil dos Santos Guerreiro João

João Barros

João Fonseca

João Carreira

João Matos

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape prior.