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PreviewIssue DateTitleAuthor(s)
2015Deep learning and structured prediction for the segmentation of mass in mammogramsDhungel, N.; Carneiro, G.; Bradley, A.; 18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015) (05 Oct 2015 - 09 Oct 2015 : Munich, GERMANY)
2015Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random ForestsDhungel, N.; Carneiro, G.; Bradley, A.; 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015) (23 Nov 2015 - 25 Nov 2015 : Adelaide, Australia)
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)
2015Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammogramsDhungel, N.; Carneiro, G.; Bradley, A.; 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015) (16 Apr 2015 - 19 Apr 2015 : New York, NY)
2016The automated learning of deep features for breast mass classification from mammogramsDhungel, N.; Carneiro, G.; Bradley, A.; 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016) (17 Oct 2016 - 21 Oct 2016 : Athens, Greece)
2018Mass segmentation in mammograms: a cross-sensor comparison of deep and tailored featuresCardoso, J.; Marques, N.; Dhungel, N.; Carneiro, G.; Bradley, A.; 24th IEEE International Conference on Image Processing (ICIP 2017) (17 Sep 2017 - 20 Sep 2017 : Beijing, CHINA)
2017Fully automated classification of mammograms using deep residual neural networksDhungel, N.; Carneiro, G.; Bradley, A.; IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) (18 Apr 2017 - 21 Apr 2017 : Melbourne, AUSTRALIA)