Dr. Pedro G. Morais Profile

Dr. Pedro G. Morais

at Applied Artificial Intelligence Lab.

SPIE Involvement:

Author

Publications (13)

Proceedings Article | 29 March 2024 Poster + Paper

Evaluating unsupervised optical flow for keypoint tracking in laparoscopic videos

Bruno Silva, Sandro Queirós, Marcos Fernández-Rodríguez, Bruno Oliveira, Helena Torres, Pedro Morais, Lukas Buschle, Jorge Correia-Pinto, Estevão Lima, João Vilaça

Proceedings Volume 12928, 129281V (2024) https://doi.org/10.1117/12.3006405

KEYWORDS: Video, Optical flow, Laparoscopy, 3D tracking, Surgery, Optical tracking, Tissues

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Proceedings Article | 29 March 2024 Poster + Paper

Exploring optical flow inclusion into nnU-Net framework for surgical instrument segmentation

Marcos Fernández-Rodríguez, Bruno Silva, Sandro Queirós, Helena Torres, Bruno Oliveira, Pedro Morais, Lukas Buschle, Jorge Correia-Pinto, Estevão Lima, João Vilaça

Proceedings Volume 12928, 1292827 (2024) https://doi.org/10.1117/12.3006855

KEYWORDS: Deep learning, Robotic surgery, Artificial neural networks, Optical flow, Laparoscopy, Image segmentation, Video, Motion estimation

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Fetal head circumference delineation using convolutional neural networks with registration-based ellipse fitting

Helena Torres, Bruno Oliveira, Pedro Morais, Anne Fritze, Cahit Birdir, Mario Rüdiger, Jaime Fonseca, João Vilaça

Proceedings Volume 12032, 120323L (2022) https://doi.org/10.1117/12.2611150

KEYWORDS: Head, Fetus, Skull, Image segmentation, Convolutional neural networks, Computer programming, Ultrasonography, Tissues, Gaussian filters, Data modeling

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Proceedings Article | 4 April 2022 Presentation + Paper

3D segmentation of the left atrial appendage in computed tomography for planning of transcatheter occlusion

Pedro Morais, Dominik Nelles, Jan Wilko Schrickel, Georg Nickenig, Jan D’hooge, Alexander Sedaghat, João Vilaça

Proceedings Volume 12034, 120340Q (2022) https://doi.org/10.1117/12.2610705

KEYWORDS: Image segmentation, 3D modeling, Computed tomography, 3D image processing, 3D metrology, Atrial fibrillation, 3D acquisition, Blood, 3D printing, Performance modeling

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Proceedings Article | 15 March 2019 Presentation + Paper

Semi-automatic aortic valve tract segmentation in 3D cardiac magnetic resonance images using shape-based B-spline explicit active surfaces

Sandro Queirós, Pedro Morais, Jaime Fonseca, Jan D'hooge, João Vilaça

Proceedings Volume 10949, 1094918 (2019) https://doi.org/10.1117/12.2512777

KEYWORDS: Image segmentation, Cardiovascular magnetic resonance imaging, 3D image processing, Magnetism, Magnetic resonance imaging, 3D metrology, Echocardiography, Statistical modeling, Detection and tracking algorithms, Databases

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Proceedings Article | 15 March 2019 Presentation + Paper

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

Pedro Morais, Sandro Queirós, Carla Pereira, António H. Moreira, Maria Baptista, Nuno Rodrigues, Jan D'hooge, Daniel Barbosa, João Vilaça

Proceedings Volume 10949, 109491F (2019) https://doi.org/10.1117/12.2512759

KEYWORDS: Image segmentation, Magnetic resonance imaging, Image fusion, Ultrasonography, Data modeling, Image processing, Databases, Chemical vapor deposition, Heart, 3D image processing

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Proceedings Article | 13 March 2019 Presentation + Paper

Automatic strategy for extraction of anthropometric measurements for the diagnostic and evaluation of deformational plagiocephaly from infant’s head models

Bruno Oliveira, Helena Torres, Fernando Veloso, Estela Vilhena, Nuno Rodrigues, Jaime Fonseca, Pedro Morais, João Vilaça

Proceedings Volume 10950, 109500A (2019) https://doi.org/10.1117/12.2512782

KEYWORDS: Head, 3D modeling, Databases, Diagnostics, Skull, Statistical analysis, Error analysis, Detection and tracking algorithms

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Proceedings Article | 13 March 2019 Paper

Deep learning-based detection of anthropometric landmarks in 3D infants head models

Helena Torres, Bruno Oliveira, Fernando Veloso, Mario Ruediger, Wolfram Burkhardt, António Moreira, Nuno Dias, Pedro Morais, Jaime Fonseca, João Vilaça

Proceedings Volume 10950, 1095034 (2019) https://doi.org/10.1117/12.2512196

KEYWORDS: Head, 3D modeling, Error analysis, Data modeling, Statistical analysis, Distortion, Skull, Databases, Network architectures

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