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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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Daniel Queirós

Sandro Valle

(_1hn1_1hn2_1hn3I)-ADAM und (_1hn9_1hn9_1hnmTc)-TRODAT-1: szintigraphische In-vivo-Darstellung der serotonergen und dopaminergen Transportersysteme anhand von Micro-SPECT im ZNS von RattenS. Valle. Uni München, (2009)

Sandro Limbach

Sandro Casagrande

Sandro Wefel

Other publications of authors with the same name

Cardiac Motion and Deformation Estimation from Tagged MRI Sequences Using a Temporal Coherent Image Registration Framework.P. Morais, B. Heyde, D. Barbosa, S. Queiros, P. Claus, and J. D'hooge. FIMH, volume 7945 of Lecture Notes in Computer Science, page 316-324. Springer, (2013)Semi-automatic aortic valve tract segmentation in 3D cardiac magnetic resonance images using shape-based B-spline explicit active surfaces.S. Queiros, P. Morais, J. Fonseca, J. D'hooge, and J. Vilaça. Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 1094918. SPIE, (2019)Instrumented vest for postural reeducation.P. Carvalho, S. Queiros, A. Moreira, J. Brito, F. Veloso, M. Terroso, N. Rodrigues, and J. Vilaça. SeGAH, page 1-8. IEEE Computer Society, (2017)Segmentation of kidney and renal collecting system on 3D computed tomography images.B. Oliveira, H. Torres, S. Queiros, P. Morais, J. Fonseca, J. D'hooge, N. Rodrigues, and J. Vilaça. SeGAH, page 1-8. IEEE, (2018)Sensor Fusion Approach for Multiple Human Motion Detection for Indoor Surveillance Use-Case.A. Abbasi, S. Queirós, N. da Costa, J. Fonseca, and J. Borges. Sensors, 23 (8): 3993 (2023)Automatic Assessment of Pectus Excavatum Severity From CT Images Using Deep Learning.B. Silva, I. Pessanha, J. Correia-Pinto, J. Fonseca, and S. Queiros. IEEE J. Biomed. Health Informatics, 26 (1): 324-333 (2022)Right Ventricular Segmentation in Multi-view Cardiac MRI Using a Unified U-net Model.S. Queiros. STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 287-295. Springer, (2021)Voxel-based registration of simulated and real patient CBCT data for accurate dental implant pose estimation.A. Moreira, S. Queiros, P. Morais, N. Rodrigues, A. Correia, V. Fernandes, A. Pinho, J. Fonseca, and J. Vilaça. Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94143H. SPIE, (2015)MITT: Medical Image Tracking Toolbox.S. Queiros, P. Morais, D. Barbosa, J. Fonseca, J. Vilaça, and J. D'hooge. IEEE Trans. Medical Imaging, 37 (11): 2547-2557 (2018)A novel multi-atlas strategy with dense deformation field reconstruction for abdominal and thoracic multi-organ segmentation from computed tomography.B. Oliveira, S. Queiros, P. Morais, H. Torres, J. Fonseca, J. Fonseca, and J. Vilaça. Medical Image Anal., (2018)

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Disambiguation of "Queiros, Sandro F."

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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

Daniel Queirós

Sandro Valle

Sandro Limbach

Sandro Casagrande

Sandro Wefel

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Queiros, Sandro F."

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

Daniel Queirós

Sandro Valle

Sandro Limbach

Sandro Casagrande

Sandro Wefel

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
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

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