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Results 1-10 of 21 (Search time: 0.006 seconds).
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PreviewIssue DateTitleAuthor(s)
2011Semi-supervised self-training model for the segmentation of the left ventricle of the heart from ultrasound dataCarneiro, G.; Nascimento, J.; Freitas, A.; IEEE International Symposium on Biomedical Imaging (8th : 2011 : Chicago, IL)
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)
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)
2012On-line re-training and segmentation with reduction of the training set: application to the left ventricle detection in ultrasound imagingNascimento, J.; Carneiro, G.; IEEE International Conference on Image Processing (19th : 2012 : Orlando, Florida)
2012The segmentation of the left ventricle of the heart from ultrasound data using deep learning architectures and derivative-based search methodsCarneiro, G.; Nascimento, J.; Freitas, A.
2018Training medical image analysis systems like radiologistsMaicas Suso, G.; Bradley, A.; Nascimento, J.; Reid, I.; Carneiro, G.; 21st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2018) (16 Sep 2018 - 20 Sep 2018 : Granada)
2010Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architecturesCarneiro, G.; Nascimento, J.; IEEE Conference on Computer Vision and Pattern Recognition (23rd : 2010 : San Francisco, CA)
2015Unregistered multiview mammogram analysis with pre-trained deep learning modelsCarneiro, G.; Nascimento, J.; Bradley, A.; 18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015) (05 Oct 2015 - 09 Oct 2015 : Munich, GERMANY)
2013Combining multiple dynamic models and deep learning architectures for tracking the left ventricle endocardium in ultrasound dataCarneiro, G.; Nascimento, J.
2016Multi-atlas segmentation using manifold learning with deep belief networksNascimento, J.; Carneiro, G.; 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016) (13 Apr 2016 - 16 Apr 2016 : Prague, Czech Republic)