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PreviewIssue DateTitleAuthor(s)
2013Artistic image analysis using graph-based learning approachesCarneiro, G.
2013Combining multiple dynamic models and deep learning architectures for tracking the left ventricle endocardium in ultrasound dataCarneiro, G.; Nascimento, J.
2013Top-down segmentation of non-rigid visual objects using derivative-based search on sparse manifoldsNascimento, J.; Carneiro, G.; IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon)
2013Fuzzy clustering based encoding for visual object classificationDell'Agnello, D.; Carneiro, G.; Chin, T.; Castellano, G.; Fanelli, A.; Pedrycz, W.; Reformat, M.Z.; Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting (2013 : Edmonton, Canada)
2013Closed-loop deep visionCarneiro, G.; Liao, Z.; Chin, T.; DeSouza, P.; Engelke, U.; Rahman, A.; International Conference on Digital Image Computing: Techniques and Applications (2013 : Hobart, Tasmania)
2013Point correspondence validation under unknown radial distortionLiu, W.; Chin, T.; Carneiro, G.; Suter, D.; DeSouza, P.; Engelke, U.; Rahman, A.; International Conference on Digital Image Computing: Techniques and Applications (2013 : Hobart, Tasmania)
2013Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imageryNascimento, J.; Carneiro, G.; International Conference on Image Processing (20th : 2013 : Melbourne)
2013Automated nucleus and cytoplasm segmentation of overlapping cervical cellsLu, Z.; Carneiro, G.; Bradley, A.; Mori, K.; Sakuma, I.; Sato, Y.; Barillot, C.; Navab, N.; International Conference on Medical Image Computing and Computer-Assisted Intervention (16th : 2013 : Nagoya, Japan)
2013Left Ventricle Segmentation from Cardiac MRI Combining Level Set Methods with Deep Belief Networks.Ngo, T.; Carneiro, G.; International Conference on Image Processing (20th : 2013 : Melbourne)

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