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Results 41-50 of 80 (Search time: 0.006 seconds).
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PreviewIssue DateTitleAuthor(s)
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)
2017Automated analysis of unregistered multi-view mammograms with deep learningCarneiro, G.; Nascimento, J.; Bradley, A.
2017Smart mining for deep metric learningHarwood, B.; Kumar, V.; Carneiro, G.; Reid, I.; Drummond, T.; IEEE International Conference on Computer Vision (ICCV 2017) (22 Oct 2017 - 29 Oct 2017 : Venice, ITALY)
2017Evaluation of three algorithms for the segmentation of overlapping cervical cellsLu, Z.; Carneiro, G.; Bradley, A.; Ushizima, D.; Nosrati, M.; Bianchi, A.; Carneiro, C.; Hamarneh, G.
2017Deep reinforcement learning for active breast lesion detection from DCE-MRIMaicas, G.; Carneiro, G.; Bradley, A.; Nascimento, J.; Reid, I.; International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (11 Sep 2017 - 13 Sep 2017 : Quebec City, Canada)
2018Bayesian semantic instance segmentation in open set worldPham, T.; Vijay Kumar, B.; Do, T.; Carneiro, G.; Reid, I.; European Conference on Computer Vision (ECCV) (08 Sep 2018 - 14 Sep 2018 : Munich)
2017Deep learning on sparse manifolds for faster object segmentationNascimento, J.; Carneiro, G.
2015Deep structured learning for mass segmentation from mammogramsDhungel, N.; Carneiro, G.; Bradley, A.; 2015 IEEE International Conference on Image Processing (ICIP 2015) (27 Sep 2015 - 30 Sep 2015 : Quebec City, CANADA)
2011Incremental on-line semi-supervised learning for segmenting the left ventricle of the heart from ultrasound dataCarneiro, G.; Nascimento, J.; International Conference on Computer Vision (13th : 2011 : Barcelona, Spain)
2012The use of on-line co-training to reduce the training set size in pattern recognition methods: application to left ventricle segmentation in ultrasoundCarneiro, G.; Nascimento, J.; IEEE Conference on Computer Vision and Pattern Recognition (25th : 2012 : Providence, Rhode Island)