Journal Papers

[1] David Ribeiro, Jacinto Nascimento, Alexandre Bernardino, Gustavo Carneiro, Improving the performance of pedestrian detectors using convolutional learning, Pattern Recognition, Vol. 61, pp. 641-649, January, 2017
[2] Gustavo Carneiro, Jacinto Nascimento, Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, Issue 11, pp. 2592-2607, 2013
[3] A. Jepson, The Quantitative Characterization of the Distinctiveness and Robustness of Local Image Descriptors, Image and Vision Computing, 27, pp. 1143-1156, 2009
[4] N. Vasconcelos, Minimum Bayes Error Features for Visual Recognition, Image and Vision Computing, 27, pp. 131-140, 2009
[5] I. Zalud, S. Good, Gustavo Carneiro, B. Georgescu, K. Aoki, L. Green, F. Shahrestani, R. Okumura, Fetal Biometry: A Comparison Between Experienced Sonographers and Automated Measurements, The Journal of Maternal-fetal and Neonatal Medicine, 2, 22(1):43-50, 2009

Book Chapters

[6] Gustavo Carneiro, Jacinto Nascimento, A. P. Bradley, Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-view Images and Segmentation Maps of Lesions, in Deep Learning for Medical Image Analysis, S. K. Zhou, H. Greenspan and D. Shen (Eds.), pp. 321-339, Elsevier, 2017
[7] Jacinto Nascimento, Gustavo Carneiro, A. Freitas, Tracking and segmentation of the endocardium of the Left Ventricle in 2D Ultrasound using Deep Learning architectures and Monte Carlo sampling, in Biomedical Image Segmentation: Advances and Trends, A. El-Baz, X. Jiang, J. S. Suri (Eds.), Chapter 17, pp. 387-406, CRC Press, 2016

Conference Papers

[8] David Ribeiro, Gustavo Carneiro, Jacinto Nascimento, Alexandre Bernardino, Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection, Proc. of IbPRIA 2017 - 8th Iberian Conference on Pattern Recognition and Image Analysis Faro, Portugal, 2017
[9] Jacinto Nascimento, Gustavo Carneiro, Towards Reduction of the Training and Search Running Time Complexities for Non-Rigid Object Segmentation., ICIP 2015 - The International Conference on Image Processing, sponsored by the IEEE Signal Processing Society, Canadá, September , 2015
[10] Jacinto Nascimento, Gustavo Carneiro, Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks, Proc. of CVPR 2014 - IEEE Computer Vision and Pattern Recognition, Ohio, USA, 2014 - PDF
[11] Gustavo Carneiro, Nuno Pinho da Silva, Alessio Del Bue, João Paulo Costeira, Artistic image classification: An analysis on the PRINTART database, Proc. of ECCV 2012 12th European Conference on Computer Vision, Florence, Italy, pp. 143157, 2012
[12] Ricardo Cabral, João Paulo Costeira, F. De la Torre, Alexandre Bernardino, Gustavo Carneiro, Time and order estimation of paintings based on visual features and expert priors, Proc. of the Conference on Computer Vision and Analysis of Images of Art II, part of the IS&T/SPIE Electronic Imaging 2011, San Francisco, USA, 2011 - PDF
[13] Nuno Pinho da Silva, Manuel Marques, Gustavo Carneiro, João Paulo Costeira, Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history, Proc. of the Conference on Computer Vision and Analysis of Images of Art II, part of the IS&T/SPIE Electronic Imaging 2011, San Francisco, USA, 2011
[14] Gustavo Carneiro, João Paulo Costeira, The Automatic Annotation and Retrieval of Digital Images of Prints and Tile Panels using Network Link Analysis Algorithms, Proc. of the Conference on Computer Vision and Analysis of Images of Art II, part of the IS&T/SPIE Electronic Imaging 2011, San Francisco, USA, 2011
[15] Gustavo Carneiro, A Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors, Proc. of ICPR 2010 - 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010 - PDF
[16] Gustavo Carneiro, A Comparison Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors, Proc. of ICPR 2010 - IEEE International Conference on Pattern Recognition, Istanbul, Turkey, 2010
[17] Gustavo Carneiro, Jacinto Nascimento, The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking, Proc. of ICPR 2010 - 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010 - PDF
[18] Gustavo Carneiro, Jacinto Nascimento, A. Freitas, Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods, Proc. of ISBI 2010 - IEEE International Symposium on Biomedical Imaging, Rotterdam, The Netherlands, 2010
[19] Gustavo Carneiro, Jacinto Nascimento, Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures, Proc. of CVPR 2010 - IEEE International Conference on Computer Vision Pattern Recognition, San Francisco, USA, 2010
[20] Gustavo Carneiro, The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors, Proc. of CVPR 2010 - IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, USA, 2010
[21] Jacinto Nascimento, Gustavo Carneiro, Efficient search methods and Deep belief Networks with particle filtering for non-rigid tracking: Application to lip tracking, Proc. of ICIP 2010 - IEEE International Conference on Image Processing, pp. 3817-3820, Hong-Kong, 2010
[22] Gustavo Carneiro, Detection of the Left Ventricle of the Heart in Ultrasound Images using Deep Neural Networks, Proc. of RecPad 2009 - 15th edition of the Portuguese Conference on Pattern Recognition, Aveiro, Portugal, 2009
[23] M. Wels, Y. Zhang, Gustavo Carneiro, M. Huber, J. Hornegger, D. Comaniciu, Fast and Robust 3-D MRI Brain Structure Segmentation, Proc. of MICCAI 2009 - 12th International Conference on Medical Image Computing and Computer Assisted Intervention, London, UK, 2009

Technical Reports

[24] Gustavo Carneiro, Jacinto Nascimento, A. Freitas, The Detection and Segmentation of the Left Ventricle of the Heart from Ultrasound Data using Deep Learning Architectures and Efficient Search Methods, Technical Report, Institute for Systems and Robotics, Instituto Superior Tecnico, 2011 - PDF
[1] David Ribeiro, Jacinto Nascimento, Alexandre Bernardino, Gustavo Carneiro, Improving the performance of pedestrian detectors using convolutional learning, Pattern Recognition, Vol. 61, pp. 641-649, January, 2017
[2] Gustavo Carneiro, Jacinto Nascimento, Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, Issue 11, pp. 2592-2607, 2013
[3] A. Jepson, The Quantitative Characterization of the Distinctiveness and Robustness of Local Image Descriptors, Image and Vision Computing, 27, pp. 1143-1156, 2009
[4] N. Vasconcelos, Minimum Bayes Error Features for Visual Recognition, Image and Vision Computing, 27, pp. 131-140, 2009
[5] I. Zalud, S. Good, Gustavo Carneiro, B. Georgescu, K. Aoki, L. Green, F. Shahrestani, R. Okumura, Fetal Biometry: A Comparison Between Experienced Sonographers and Automated Measurements, The Journal of Maternal-fetal and Neonatal Medicine, 2, 22(1):43-50, 2009
[1] Gustavo Carneiro, Jacinto Nascimento, A. P. Bradley, Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-view Images and Segmentation Maps of Lesions, in Deep Learning for Medical Image Analysis, S. K. Zhou, H. Greenspan and D. Shen (Eds.), pp. 321-339, Elsevier, 2017
[2] Jacinto Nascimento, Gustavo Carneiro, A. Freitas, Tracking and segmentation of the endocardium of the Left Ventricle in 2D Ultrasound using Deep Learning architectures and Monte Carlo sampling, in Biomedical Image Segmentation: Advances and Trends, A. El-Baz, X. Jiang, J. S. Suri (Eds.), Chapter 17, pp. 387-406, CRC Press, 2016
[1] David Ribeiro, Gustavo Carneiro, Jacinto Nascimento, Alexandre Bernardino, Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection, Proc. of IbPRIA 2017 - 8th Iberian Conference on Pattern Recognition and Image Analysis Faro, Portugal, 2017
[2] Jacinto Nascimento, Gustavo Carneiro, Towards Reduction of the Training and Search Running Time Complexities for Non-Rigid Object Segmentation., ICIP 2015 - The International Conference on Image Processing, sponsored by the IEEE Signal Processing Society, Canadá, September , 2015
[3] Jacinto Nascimento, Gustavo Carneiro, Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks, Proc. of CVPR 2014 - IEEE Computer Vision and Pattern Recognition, Ohio, USA, 2014 - PDF
[4] Gustavo Carneiro, Nuno Pinho da Silva, Alessio Del Bue, João Paulo Costeira, Artistic image classification: An analysis on the PRINTART database, Proc. of ECCV 2012 12th European Conference on Computer Vision, Florence, Italy, pp. 143157, 2012
[5] Ricardo Cabral, João Paulo Costeira, F. De la Torre, Alexandre Bernardino, Gustavo Carneiro, Time and order estimation of paintings based on visual features and expert priors, Proc. of the Conference on Computer Vision and Analysis of Images of Art II, part of the IS&T/SPIE Electronic Imaging 2011, San Francisco, USA, 2011 - PDF
[6] Nuno Pinho da Silva, Manuel Marques, Gustavo Carneiro, João Paulo Costeira, Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history, Proc. of the Conference on Computer Vision and Analysis of Images of Art II, part of the IS&T/SPIE Electronic Imaging 2011, San Francisco, USA, 2011
[7] Gustavo Carneiro, João Paulo Costeira, The Automatic Annotation and Retrieval of Digital Images of Prints and Tile Panels using Network Link Analysis Algorithms, Proc. of the Conference on Computer Vision and Analysis of Images of Art II, part of the IS&T/SPIE Electronic Imaging 2011, San Francisco, USA, 2011
[8] Gustavo Carneiro, A Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors, Proc. of ICPR 2010 - 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010 - PDF
[9] Gustavo Carneiro, A Comparison Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors, Proc. of ICPR 2010 - IEEE International Conference on Pattern Recognition, Istanbul, Turkey, 2010
[10] Gustavo Carneiro, Jacinto Nascimento, The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking, Proc. of ICPR 2010 - 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010 - PDF
[11] Gustavo Carneiro, Jacinto Nascimento, A. Freitas, Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods, Proc. of ISBI 2010 - IEEE International Symposium on Biomedical Imaging, Rotterdam, The Netherlands, 2010
[12] Gustavo Carneiro, Jacinto Nascimento, Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures, Proc. of CVPR 2010 - IEEE International Conference on Computer Vision Pattern Recognition, San Francisco, USA, 2010
[13] Gustavo Carneiro, The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors, Proc. of CVPR 2010 - IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, USA, 2010
[14] Jacinto Nascimento, Gustavo Carneiro, Efficient search methods and Deep belief Networks with particle filtering for non-rigid tracking: Application to lip tracking, Proc. of ICIP 2010 - IEEE International Conference on Image Processing, pp. 3817-3820, Hong-Kong, 2010
[15] Gustavo Carneiro, Detection of the Left Ventricle of the Heart in Ultrasound Images using Deep Neural Networks, Proc. of RecPad 2009 - 15th edition of the Portuguese Conference on Pattern Recognition, Aveiro, Portugal, 2009
[16] M. Wels, Y. Zhang, Gustavo Carneiro, M. Huber, J. Hornegger, D. Comaniciu, Fast and Robust 3-D MRI Brain Structure Segmentation, Proc. of MICCAI 2009 - 12th International Conference on Medical Image Computing and Computer Assisted Intervention, London, UK, 2009

In the same group

Agni Mantouka
Sérgio Agostinho
Pedro Aguiar
Inês Borges de Almeida
José Miguel Antunes
Lucas Balthazar
Helena Barros
Victor Barroso
Marko Beko
João Quartin Borges
Rogério Calazan
Francisco Calisto
Pedro Cardoso
João Carvalho
Ivo Cortez
João Paulo Costeira
Hans Du Buf
Paulo Felisberto
Ricardo Fernandes
Beatriz Ferreira
João Pedro Gomes
Pedro Guerreiro
Pedro Guerreiro
Qiwei Han
Sérgio Jesus
Pusheng Ji
Roberto Lam
Isabel Lourtie
Vasco Ludovico
Lussac Maia
Zita Marinho
Manuel Marques
Bernardo Marques
Nelson Martins
Celestino Martins
Dmytro Maslov
Alexandre Matos
Inês Pereira de Matos
Daniela Medley
Manuel Melo
Jacinto Nascimento
Filipa Oliveira
João Rodrigues
Orlando Rodriguez
Mário Saleiro
Carlos Santiago
Paulo Santos
Ana Bela Santos
João Saúde
Joao Semedo
António Silva
Luís Silva
Silva
Catarina Silva
Margarida Silveira
António Simões
Cristiano Soares
Cláudia Soares
Brian Swenson
Miguel Araújo Vasques
Jayakorn Vongkulbhisal
João Xavier
Ehsan Zamanizadeh
Sabina Zejnilović
ShanghangZhang