https://mobirise.com/

2017

  • Gustavo Carneiro, Jacinto C. Nascimento and Andrew Bradley. Automated Analysis of Unregistered Multi-view Mammograms with Deep Learning. Paper accepted by IEEE Transactions on Medical Imaging (TMI) in 2017. [pdf]
  • Jacinto C.Nascimento and Gustavo Carneiro. Deep Learning on Sparse Manifolds for Faster Object Segmentation. Paper accepted by IEEE Transactions on Image Processing (TIP) in 2017. [pdf]
  • Luke Oakden-Rayner, Gustavo Carneiro, Taryn Bessen, Jacinto Nascimento, Andrew Peter Bradley, Lyle Palmer. Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework. Paper accepted by Scientific Reports in 2017. [link]
  • Zhibin Liao, Gustavo Carneiro. A Deep Convolutional Neural Network Module that Promotes Competition of Multiple-size Filters. Accepted for publication by Pattern Recognition in 2017. [pdf].
  • Gustavo Carneiro, Tingying Peng, Christine Bayer, and Nassir Navab. Automatic Quantification of Tumour Hypoxia from Multi-modal Microscopy Images using Weakly-Supervised Learning Methods.  Paper accepted for publication by IEEE Transactions on Medical Imaging. 2017.  [pdf]
  • Tuan Anh Ngo, Zhi Lu and Gustavo Carneiro. Combining Deep Learning and Level Set for the Automated Segmentation of the Left Ventricle of the Heart from Cardiac Cine Magnetic Resonance. Medical Image Analysis 35 (2017): 159-171. [pdf]
  • Neeraj Dhungel, Gustavo Carneiro, Andrew Bradley. A Deep Learning Approach for the Analysis of Masses in Mammograms with Minimal User Intervention. Paper accepted for publication on 25-01-2017 by Medical Image Analysis. 2017. [pdf]
  • Toan Minh Tran, Trung Thanh Pham, Gustavo Carneiro, Lyle Palmer, Ian Reid. A Bayesian Data Augmentation Approach for Learning Deep Models. Neural Information Processing Systems (NIPS). 2017 
  • Ben Harwood, Vijay Kumar B G, Gustavo Carneiro, Ian Reid, Tom Drummond. Smart Mining for Deep Metric Learning. International Conference on Computer Vision (ICCV 2017). [pdf]
  • Gabriel Maicas, Gustavo Carneiro, Jacinto Nascimento, Andrew Bradley, Ian Reid. Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. Medical Image Computing and Computer-Assisted Intervention (MICCAI 2017) [pdf]
  • Jaime S. Cardoso, Nuno Marques, Neeraj Dhungel, Gustavo Carneiro, A. P. Bradley. Mass Segmentation in Mammograms: a Cross-sensor Comparison of Deep and Tailored Features. International Conference on Image Processing (ICIP 2017) [pdf]
  • Le Lu, Y. Zheng, G. Carneiro, L. Yang (Editors).  Deep Learning and Convolutional Neural Networks for Medical Image Computing. Springer 2017 (ISBN 978-3-319-42999-1). [link]
  • Tuan Anh Ngo and Gustavo Carneiro. Fully automated Segmentation using Distance Regularized Level Set and Deep-structured Learning and Inference. Book chapter in Deep Learning and Convolutional Neural Networks for Medical Image Computing. Springer 2017 (ISBN 978-3-319-42999-1). [link]
  • Neeraj Dhungel, Gustavo Carneiro and Andrew Bradley. Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms. Book chapter in Deep Learning and Convolutional Neural Networks for Medical Image Computing. Springer 2017 (ISBN 978-3-319-42999-1). [link]
  • Gustavo Carneiro, Jacinto Nascimento and Andrew Bradley. Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-view Images and Segmentation Maps of Lesions. Book chapter in Deep Learning for Medical Image Analysis. Elsevier/Academic Press 2017 (ISBN 9780128104088). [link]
  • Adrian Johnston, Ravi Garg, Gustavo Carneiro, Ian Reid and Anton van den Hengel. Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image. ICCV 2017 Workshop: Geometry Meets Deep Learning. 2017. [pdf]
  • Jerome Williams, Gustavo Carneiro, David Suter. Region of Interest Autoencoders. International Conference on Digital Image Computing: Techniques and Applications (DICTA). 2017. [pdf]
  • David Ribeiro, Gustavo Carneiro, Jacinto C. Nascimento, Alexandre Bernardino. Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection. Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) 2017. [pdf]
  • Gustavo Carneiro, Luke Oakden-Rayner, Andrew Peter Bradley, Jacinto Nascimento, Lyle Palmer. Automated 5-Year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography. International Symposium on Biomedical Imaging (ISBI) 2017. [pdf]
  • Gabriel Maicas Suso, Gustavo Carneiro, Andrew Peter Bradley. Globally Optimal Breast Mass Segmentation from DCE-MRI Using Deep Semantic Segmentation As Shape Prior. International Symposium on Biomedical Imaging (ISBI) 2017. [pdf]
  • Neeraj Dhungel, Gustavo Carneiro, Andrew Peter Bradley. Fully Automated Classification of Mammograms Using Deep Residual Neural Networks. International Symposium on Biomedical Imaging (ISBI) 2017. [pdf]

2016


  • David Ribeiro, Jacinto Nascimento, Alexandre Bernardino and Gustavo Carneiro. Improving the performance of pedestrian detectors using convolutional learning. Paper accepted for publication by Pattern Recognition in May/2016. [pdf]
  • Fernanda A. Andalo, Gustavo Carneiro, Gabriel Taubin, Siome Goldenstein, Luiz Velho. Automatic reconstruction of ancient Portuguese tile panels. Paper accepted for publication by IEEE Computer Graphics and Applications in July/2016. [pdf]
  • Neeraj Dhungel, Gustavo Carneiro and Andrew Bradley. The Automated Learning of Deep Features for Breast Mass Classification from Mammograms. Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016) [pdf]
  • Ravi Garg, Vijay Kumar B G, Gustavo Carneiro, Ian Reid. Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. European Conference on Computer Vision (ECCV 2016) [pdf]
  • Z. Lu, G. Carneiro, A. Bradley, D. Ushizima, M. S. Nosrati, A. Bianchi, C. Carneiro, and G. Hamarneh. "Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells." IEEE Journal of Biomedical and Health Informatics (2016) [pdf]
  • Jacinto Nascimento and Gustavo Carneiro. Tracking and Segmentation of the Endocardium of the Left Ventricle in 2D Ultrasound using Deep Learning Architectures and Monte Carlo Sampling. Book Chapter in Biomedical Image Segmentation: Advances and Trends. Editors: Ayman El-Baz, Xiaoyi Jiang, Jasjit S. Suri. CRC Press, ISBN 9781482258554, 2016. [link]
  • Gustavo Carneiro, Diana Mateus, Peter Loïc, Andrew Bradley, João Manuel Tavares, Vasileios Belagiannis, João Paulo Papa et al., eds. Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Vol. 10008. Springer, 2016. [link]
  • Joao Paulo Costeira, Gustavo Carneiro, and Alessio Del Bue. Proceedings of the Workshop “VISART III – Where Computer Vision Meets Art”. Workshop held in conjunction with the 2016 European Conference on Computer Vision (ECCV). Amsterdam, The Netherlands, 2016.
  • Vijay Kumar, Gustavo Carneiro and Ian Reid. "Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions." Computer Vision and Pattern Recognition (CVPR 2016) [pdf]
  • Jacinto Nascimento and Gustavo Carneiro. "Multi-Atlas Segmentation Using Manifold Learning with Deep Belief Networks." IEEE International Symposium on Biomedical Imaging (ISBI 2016) [pdf]
  • Zhibin Liao and Gustavo Carneiro. "On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units." IEEE Winter Conference on Applications of Computer Vision (WACV 2016) [pdf]
  • H. Lee, A. Weerasinghe, J. Barnes, L. Oakden-Rayner, W. Gale and G. Carneiro. "CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees." International Conference on Intelligent Tutoring Systems (ITS 2016) [pdf]

2015

  • Zhi Lu, Gustavo Carneiro, and Andrew P. Bradley. "An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells." Image Processing, IEEE Transactions on 24, no. 4 (2015): 1261-1272. [pdf]
  • Gustavo Carneiro, Tingying Peng, Christine Bayer, and Nassir Navab. "Weakly-Supervised Structured Output Learning With Flexible and Latent Graphs Using High-Order Loss Functions." In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2015. [pdf][dataset]
  • Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, and Nassir Navab. "Robust Optimization for Deep Regression." In Proceedings of the IEEE International Conference on Computer Vision (ICCV). 2015. [pdf]
  • Gustavo Carneiro, Jacinto Nascimento and Andrew Bradley. Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models. In Proceedings of the Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015. [pdf]
  • Neeraj Dhungel, Gustavo Carneiro and Andrew Bradley. Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms. In Proceedings of the Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015. [pdf]
  • Gustavo Carneiro, Tingying Peng, Christine Bayer and Nassir Navab. Flexible and Latent Structured Output Learning: Application to Histology. In MICCAI Workshop Machine Learning in Medical Imaging (MLMI) 2015. [pdf]
  • Neeraj Dhungel, Gustavo Carneiro and Andrew Bradley. Automated Mass Detection from Mammograms using Deep Learning and Random Forest. In MICCAI Workshop Breast Image Analysis (BIA) 2015. [pdf]
  • Gustavo Carneiro, Tingying Peng, Christine Bayer and Nassir Navab. Automatic Detection of Necrosis, Normoxia and Hypoxia in Tumors from Multimodal Cytological Images. In Proceedings of the International Conference on Image Processing (ICIP) 2015. [pdf] Paper selected among the top 10% of the accepted papers of the conference! 
  • Neeraj Dhungel, Gustavo Carneiro and Andrew Bradley. Deep Structured Learning for Mass Segmentation from Mammograms. In Proceedings of the International Conference on Image Processing (ICIP) 2015. [pdf]  Paper selected among the top 10% of the accepted papers of the conference! 
  • Tuan Anh Ngo and Gustavo Carneiro. Lung Segmentation in Chest Radiographs using Distance Regularized Level Set and Deep-structured Learning and Inference. In Proceedings of the International Conference on Image Processing (ICIP) 2015. [pdf]
  • Zhibin Liao and Gustavo Carneiro. The use of Deep Learning Features in a Hierarchical Classifier Learned with the Minimization of a Non-greedy Loss Function that Delays Gratification. In Proceedings of the International Conference on Image Processing (ICIP) 2015. [pdf]
  • Jacinto Nascimento and Gustavo Carneiro. Towards reduction of the training and search running time complexities for non-rigid object segmentation. In Proceedings of the International Conference on Image Processing (ICIP) 2015. [pdf]
  • Neeraj Dhungel, Gustavo Carneiro and Andrew Bradley. Tree Re-Weighted Belief Propagation Using Deep Learning Potentials for Mass Segmentation from Mammograms. In Proceedings of the International Symposium on Biomedical Imaging (ISBI) 2015. [pdf]
  • Adrian Johnston, Gustavo Carneiro, Ren Ding and Luiz Velho. 3-D Modeling from Concept Sketches of Human Characters with Minimal User Interaction. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2015. [pdf]
  • Neeraj Dhungel, Gustavo Carneiro and Andrew Bradley. Automated Mass Detection from Mammograms using Cascaded Deep Learning and Random Forests. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2015. [pdf]

2014

  • Joao Paulo Costeira, Gustavo Carneiro, and Alessio Del Bue. Proceedings of the Workshop “VISART III – Where Computer Vision Meets Art”. Workshop held in conjunction with the 2014 European Conference on Computer Vision (ECCV). Zurich, Switzerland, 2014.
  • Tuan Anh Ngo and Gustavo Carneiro. Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference. Computer Vision and Pattern Recognition (CVPR) 2014. [pdf] 
  • Jacinto Nascimento and Gustavo Carneiro. Non-rigid Segmentation using Sparse Low dimensional Manifolds and Deep Belief Networks. Computer Vision and Pattern Recognition (CVPR) 2014 [pdf]  
  • Qian Chen and Gustavo Carneiro. Artistic Image Analysis Using the Composition of Human Figures. European Conference on Computer Vision (ECCV) Workshops 2014. [pdf] 
  • Neeraj Dhungel, Gustavo Carneiro and Andrew Bradley. Deep Structured Learning for Mass Segmentation from Mammograms. Arxiv 2014. [pdf] 
  • Gustavo Carneiro and Duarte Lazaro. Book chapter in "Heranca de Santos Simoes - Novas Perspectivas para o Estudo da Azulejaria e da Ceramica". (Book in Portuguese) Ed. Colibri. 2014. [pdf]

2013

  • Gustavo Carneiro, Fernando Amat, Bogdan Georgescu, Sara Good, and Dorin Comaniciu. Automated Fetal Measurements from Three-dimensional Ultrasound Data. US Patent number 8,556,814 B2. 2013. [pdf] 
  • Gustavo Carneiro and 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, No.11, 2013. [pdf] 
  • Gustavo Carneiro. Artistic Image Analysis using Graph-based Learning Approaches. IEEE Transactions on Image Processing. Vol. 22, No. 8, 2013.  [pdf] 
  • Joao Paulo Costeira, Gustavo Carneiro, and Alessio Del Bue. Proceedings of the Workshop “VISART I – Where Computer Vision Meets Art”. Workshop held in conjunction with the 2012 European Conference on Computer Vision (ECCV). Florence, Italy, 2012.
  • Jacinto Nascimento and Gustavo Carneiro. Top-down Segmentation of Non-rigid Visual Objects using Derivative-based Search on Sparse Manifolds. Computer Vision and Pattern Recognition (CVPR) 2013.  [pdf] 
  • Zhi Lu, Gustavo Carneiro and Andrew Bradley. Automated Nucleus and Cytoplasm Segmentation of Overlapping Cervical Cells. In Proceedings of the Medical Image Computing and Computer Assisted Intervention (MICCAI)  2013. [Code and dataset are available from this link].[pdf] 
  • Jacinto Nascimento and Gustavo Carneiro. Combining a Bottom-up and Top-down Classifiers for the Segmentation of the Left Ventricle from Cardiac Imagery. International Conference on Image Processing (ICIP) 2013. [pdf]
  • Tuan Anh Ngo and Gustavo Carneiro. Left Ventricle Segmentation from Cardiac MRI Combining Level Set Methods with Deep Belief Networks.  International Conference on Image Processing (ICIP) 2013. [pdf] Paper selected among the top 10% of the accepted papers of the conference! 
  • Gustavo Carneiro, Zhibin Liao and Tat-Jun Chin. Closed-Loop Deep Vision. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA). 2013. [pdf] 
  • William Liu, Tat-Jun Chin, Gustavo Carneiro and David Suter. Point Correspondence Validation Under Unknown Radial Distortion. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA). 2013. 
  • F.A. Andalo, G. Carneiro, S. Goldenstein, G. Taubin and L. Velho. Image Puzzle Methods Applied to the Automatic Reconstruction of Ancient Portuguese Tile Panels. Technical Report - Instituto de Matematica Pura e Aplicada (IMPA). 2013.  [pdf] 
  • Danilo Dell'Agnello, Gustavo Carneiro, Tat-Jun Chin, Giovanna Castellano and Anna Maria Fanelli. Fuzzy Clustering based Encoding for Visual Object Classification IFSA World Congress. NAFIPS Annual Meeting 2013. 

2012

  • Gustavo Carneiro, Jacinto Nascimento, Antonio Freitas. The Segmentation of the Left Ventricle of the Heart from Ultrasound Data using Deep Learning Architectures and Derivative-based Search Methods. IEEE Transactions on Image Processing. Vol. 21, No. 3. 2012.  [pdf] 
  • Shaohua Kevin Zhou, Feng Guo, Jin-Hyeong Park, Gustavo Carneiro, Constantine Simpoulos, Joanne Otsuki, Dorin Comaniciu, and John Jackson. Method and System for Detection of Deformable Structures in Medical Images. US Patent number 8,150,116 B2. 2012.
  • Gustavo Carneiro, Nuno Pinho da Silva, Alessio Del Bue, and Joao Paulo Costeira. Artistic Image Classification: an Analysis on the PRINTART Database. European Conference on Computer Vision (ECCV) 2012. [pdf] [dataset]
  • Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, and David Suter. In Defence of RANSAC for Outlier Rejection in Deformable Registration. European Conference on Computer Vision (ECCV) 2012. [pdf] 
  • Gustavo Carneiro, Jacinto Nascimento. The Use of On-line Co-training to Reduce the Training Set Size in Pattern Recognition Methods: Application to Left Ventricle Segmentation in Ultrasound. Computer Vision and Pattern Recognition (CVPR) 2012.  [pdf] 
  • Gustavo Carneiro, Jacinto Nascimento. On-line Re-training and Segmentation with Reduction of the Training Set: Application to the Left Ventricle Detection on Ultrasound Imaging. International Conference on Image Processing (ICIP) 2012.   [pdf] 


2011

  • Gustavo Carneiro, Bogdan Georgescu, Sara Good, and Dorin Comaniciu. System and Method for Detection of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree. US Patent number 7,995,820. 2011
  • Gustavo Carneiro, Jacinto C. Nascimento: Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data. International Conference on Computer Vision (ICCV) 2011.[pdf] 
  • Jacinto C. Nascimento, Gustavo Carneiro: Reducing the Training Set Using Semi-Supervised Self-Training Algorithm for Segmenting the Left Ventricle in Ultrasound Images. International Conference on Image Processing (ICIP) 2011. [pdf] 
  • Gustavo Carneiro: Graph-based Methods for the Automatic Annotation and Retrieval of Art Prints. ACM International Conference on Multimedia Retrieval (ICMR) 2011.[pdf] 
  • Gustavo Carneiro, Jacinto C. Nascimento, António Freitas: Semi-supervised self-training model for the segmentationof the left ventricle of the heart from ultrasound data. IEEE International Symposium on Biomedical Imaging (ISBI) 2011.[pdf] 
  • Gustavo Carneiro, João P. Costeira: The automatic annotation and retrieval of digital images of prints and tile panels using network link analysis algorithms. Computer Vision and Image Analysis of Art II (Proceedings of SPIE Volume: 7869) 2011.  [pdf] 
  • Nuno Pinho da Silva, Manuel Marques, Gustavo Carneiro, João P. Costeira: Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history. Computer Vision and Image Analysis of Art II (Proceedings of SPIE Volume: 7869). 2011.
  • Ricardo S. Cabral, João P. Costeira, Fernando de La Torre, Alexandre Bernardino, Gustavo Carneiro: Time and order estimation of paintings based on visual features and expert priors. Computer Vision and Image Analysis of Art II (Proceedings of SPIE Volume: 7869). 2011. 

2010

  • Gustavo Carneiro, Sara Good, Bogdan Georgescu, Paolo Favaro, and Dorin Comaniciu. System and Method for Fetal Biometric Measurements from Ultrasound Data and Fusion of same for Estimation of Fetal Gestational Age. US Patent number 7,783,095. 2010.
  • Michael Wels, Gustavo Carneiro, Martin Huber, Dorin Comaniciu, Yefeng Zheng. Method and System for Segmentation of Brain Structures in 3D Magnetic Resonance Images. US Patent Application number 20100074499. 2010.
  • Michael Wels, Gustavo Carneiro, Martin Huber, Dorin Comaniciu. Method and System for Brain Tumor Segmentation in 3D Magnetic Resonance Images. US Patent Application number 20100027865. 2010.
  • Gustavo Carneiro: The automatic design of feature spaces for local image descriptors using an ensemble of non-linear feature extractors. Computer Vision and Pattern Recognition (CVPR) 2010: 3509-3516. [Matlab code for toy example].[pdf] 
  • Gustavo Carneiro, Jacinto C. Nascimento: Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures. Computer Vision and Pattern Recognition (CVPR) 2010: 2815-2822 . [pdf] 
  • Jacinto C. Nascimento, Gustavo Carneiro: Efficient search methods and deep belief networks with particle filtering for non-rigid tracking: Application to lip tracking. International Conference on IMage Processing (ICIP) 2010: 3817-3820 . [pdf] 
  • Gustavo Carneiro, Jacinto C. Nascimento: The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking. International Conference on Pattern Recognition (ICPR) 2010: 2065-2068.  [pdf] 
  • Gustavo Carneiro: A Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors. International Conference on Pattern Recognition (ICPR) 2010: 3356-3359.  [pdf] 
  • Gustavo Carneiro, Jacinto C. Nascimento, António Freitas: Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods. IEEE International Symposium on Biomedical Imaging (ISBI) 2010: 1085-1088.  [pdf] 

2009

. [pdf] 
  • Gustavo Carneiro, Nuno Vasconcelos: Minimum Bayes error features for visual recognition. Image Vision Comput. 27(1-2): 131-140 (2009). [pdf] 
  • Gustavo Carneiro, Allan D. Jepson: The quantitative characterization of the distinctiveness and robustness of local image descriptors. Image Vision Comput. 27(8): 1143-1156 (2009). [pdf] 
  • 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. 
  • Dorin Comaniciu, Shaohua Kevin Zhou, Feng Guo, Jin-Hyeong Park, Gustavo Carneiro, Constantine Simpoulos, Joanne Otsuki, and John Jackson. Method and System for Detection of Deformable Structures in Medical Images. US Patent Application number 20090010509. 2009.
  • Michael Wels, Yefeng Zheng, Gustavo Carneiro, Martin Huber, Joachim Hornegger, Dorin Comaniciu: Fast and Robust 3-D MRI Brain Structure Segmentation. MICCAI (1) 2009: 575-583 [pdf] 

2008

  • Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dorin Comaniciu: Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree. IEEE Trans. Med. Imaging 27(9): 1342-1355 (2008).[pdf] 
  • Gustavo Carneiro, Fernando Amat, Bogdan Georgescu, Sara Good, Dorin Comaniciu: Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling. CVPR 2008. [pdf] 
  • Michael Wels, Gustavo Carneiro, Alexander Aplas, Martin Huber, Joachim Hornegger, Dorin Comaniciu: A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI. MICCAI (1) 2008: 67-75 . [pdf] 

2007

  • Gustavo Carneiro, Allan D. Jepson: Flexible Spatial Configuration of Local Image Features. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2089-2104 (2007). [pdf] 
  • Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, Nuno Vasconcelos: Supervised Learning of Semantic Classes for Image Annotation and Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 394-410 (2007). [pdf] 
  • Shaohua Kevin Zhou, Feng Guo, Gustavo Carneiro, John Jackson, M. Brendel, Costas Simopoulos, Joanne Otsuki, Dorin Comaniciu: A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure. ICCV 2007: 1-8 . [pdf] 
  • Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dorin Comaniciu: Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree. MICCAI (2) 2007: 571-579 . [pdf] 

2006

  • Manuela Vasconcelos, Nuno Vasconcelos, Gustavo Carneiro: Weakly Supervised Top-down Image Segmentation. CVPR (1) 2006: 1001-1006. [pdf] 
  • Gustavo Carneiro, David Lowe: Sparse Flexible Models of Local Features. ECCV (3) 2006: 29-43. [pdf] 

2005

  • Gustavo Carneiro, Nuno Vasconcelos: Formulating Semantic Image Annotation as a Supervised Learning Problem. CVPR (2) 2005: 163-168. [pdf] 
  • Gustavo Carneiro, Allan D. Jepson: The Distinctiveness, Detectability, and Robustness of Local Image Features. CVPR (2) 2005: 296-301. [pdf] 
  • Gustavo Carneiro, Nuno Vasconcelos: A database centric view of semantic image annotation and retrieval. ACM SIGIR 2005: 559-566. [pdf] 
  • Gustavo Carneiro, Nuno Vasconcelos: Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction. CRV 2005: 253-260. [pdf]  

2004

  • Gustavo Carneiro. (2004). Image Representation Using Phase-based Local Image Descriptors and their Flexible Spatial Configuration. Ph.D. Thesis. University of Toronto. Department of Computer Science. [pdf] 
  • Gustavo Carneiro, Allan D. Jepson: Flexible Spatial Models for Grouping Local Image Features. CVPR (2) 2004: 747-754. [pdf] 
  • Gustavo Carneiro, Allan D. Jepson: Pruning Local Feature Correspondences Using Shape Context. ICPR (3) 2004: 16-19 . [pdf] 

2003

  • Gustavo Carneiro, Allan D. Jepson: Multi-scale Phase-based Local Features. CVPR (1) 2003: 736-743. [pdf] 

2002

  • Gustavo Carneiro, Allan D. Jepson: Phase-Based Local Features. ECCV (1) 2002: 282-296. [pdf] 
  • Nuno Vasconcelos, Gustavo Carneiro: What Is the Role of Independence for Visual Recognition? ECCV (1) 2002: 297-311. [pdf] 

1999

  • Eliana P. L. Aude, Gustavo Carneiro, Henrique Serdeira, Julio Silveira, Mario F. Martins, Ernesto P. Lopes: CONTROLAB MUFA: A Multi-Level Fusion Architecture for Intelligent Navigation of a Telerobot. ICRA 1999: 465-472. [pdf] 
  • Gustavo Carneiro, Eliana Aude, Henrique Serdeira, Julio Silveira, Mario Martins, Ernesto Lopes. An Internet Request Server Architecture for Telecommanding the CONTROLAB AGV through Real Time Data and Image. Proceedings of the 42nd Midwest Symposium on Circuits and Systems. Las Cruces, New Mexico. USA. 1999. [pdf] 
  • Eliana Aude, Gustavo Carneiro, Henrique Serdeira, Julio Silveira, Mario Martins, Ernesto Lopes. Integration of Intelligent Systems and Sensor Fusion within the CONTROLAB AGV.Proceedings of the SPIE Intenational Symposium on Intelligent Systems and Advanced Manufacturing. Program on Mobile Robots and Autonomous Systems. Boston, Massachusetts. 1999. [pdf] 
  • Gustavo Carneiro. (1999). Tratamento de Comandos Remotos e Processamento de Visao para Navegacao de Veiculos Autonomos em Tempo Real. MSc. Thesis. Military Institute of Engineering. [pdf] 

1998

  • Claudio G. Mello , Gustavo H. M. B. Carneiro , Paulo R. Lira Gondim: Setting Up A MBone Node For Distance Learning Purposes. ICEE 98. [pdf]