Patrick Brandao

According to our database, Patrick Brandao authored at least 12 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

NICE polyp feature classification for colonoscopy screening.

Thomas De Carvalho, Rawen Kader, Patrick Brandao, Laurence B. Lovat, Peter Mountney, Danail Stoyanov

Int. J. Comput. Assist. Radiol. Surg., May, 2025

2022

Polyp detection on video colonoscopy using a hybrid 2D/3D CNN.

Juana González-Bueno Puyal, Patrick Brandao, Omer F. Ahmad, Kanwal K. Bhatia, Daniel Toth, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov

Medical Image Anal., 2022

2021

HAPNet: hierarchically aggregated pyramid network for real-time stereo matching.

Patrick Brandao, Dimitris Psychogyios, Evangelos B. Mazomenos, Danail Stoyanov, Mirek Janatka

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

ResNet.

Isabel Amaya-Rodriguez, Javier Civit-Masot, Francisco Luna-Perejon, Lourdes Duran-Lopez, Alexander Rakhlin, Sergey I. Nikolenko, Satoshi Kondo, Pablo Laiz, Jordi Vitrià, Santi Seguí, Patrick Brandao

Proceedings of the Computer-Aided Analysis of Gastrointestinal Videos, 2021

2020

Detecting small polyps using a Dynamic SSD-GAN.

Daniel C. Ohrenstein, Patrick Brandao, Daniel Toth, Laurence B. Lovat, Danail Stoyanov, Peter Mountney

CoRR, 2020

Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN.

Juana González-Bueno Puyal, Kanwal K. Bhatia, Patrick Brandao, Omer F. Ahmad, Daniel Toth, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Widening siamese architectures for stereo matching.

Patrick Brandao, Evangelos B. Mazomenos, Danail Stoyanov

Pattern Recognit. Lett., 2019

2018

Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks.

Patrick Brandao, Odysseas Zisimopoulos, Evangelos B. Mazomenos, Gastone Ciuti, Jorge Bernal, Marco Visentini Scarzanella, Arianna Menciassi, Paolo Dario, Anastasios Koulaouzidis, Alberto Arezzo, David J. Hawkes, Danail Stoyanov

J. Medical Robotics Res., 2018

Towards computer-assisted TTTS: Laser ablation detection for workflow segmentation from fetoscopic video.

Francisco Vasconcelos, Patrick Brandao, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Donald Peebles, Danail Stoyanov

Int. J. Comput. Assist. Radiol. Surg., 2018

2017

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge.

Jorge Bernal, Nima Tajkbaksh, Francisco Javier Sánchez, Bogdan J. Matuszewski, Hao Chen, Lequan Yu, Quentin Angermann, Olivier Romain, Bjorn Rustad, Ilangko Balasingham, Konstantin Pogorelov, Sungbin Choi, Quentin Debard, Lena Maier-Hein, Stefanie Speidel, Danail Stoyanov, Patrick Brandao, Henry Córdova, Cristina Sánchez-Montes, Suryakanth R. Gurudu, Gloria Fernández-Esparrach, Xavier Dray, Jianming Liang, Aymeric Histace

IEEE Trans. Medical Imaging, 2017

Fully convolutional neural networks for polyp segmentation in colonoscopy.

Patrick Brandao, Evangelos B. Mazomenos, Gastone Ciuti, Renato Caliò, Federico Bianchi, Arianna Menciassi, Paolo Dario, Anastasios Koulaouzidis, Alberto Arezzo, Danail Stoyanov

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016

Bayesian constrained local models with depth data.

Pedro Martins, Joao Faro, Patrick Brandao, Jorge Batista

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016