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PreviewIssue DateTitleAuthor(s)
2015Deep learning and structured prediction for the segmentation of mass in mammogramsDhungel, N.; Carneiro, G.; Bradley, A.; Navab, N.; Hornegger, J.; Wells, W.; Frangi, A.; 18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015) (5 Oct 2015 - 9 Oct 2015 : Munich, GERMANY)
2015Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological imagesCarneiro, G.; Peng, T.; Bayer, C.; Navab, N.; IEEE International Conference on Image Processing (ICIP) (27 Sep 2015 - 30 Sep 2015 : Quebec City, CANADA)
2015Unregistered multiview mammogram analysis with pre-trained deep learning modelsCarneiro, G.; Nascimento, J.; Bradley, A.; Navab, N.; Hornegger, J.; Wells, W.; Frangi, A.; 18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015) (5 Oct 2015 - 9 Oct 2015 : Munich, GERMANY)
2015Weakly-supervised structured output learning with flexible and latent graphs using high-order loss functionsCarneiro, G.; Peng, T.; Bayer, C.; Navab, N.; 2015 IEEE International Conference on Computer Vision (ICCV 2015) (11 Dec 2015 - 18 Dec 2015 : Santiago, CHILE)
2015Robust optimization for deep regressionBelagiannis, V.; Rupprecht, C.; Carneiro, G.; Navab, N.; 2015 IEEE International Conference on Computer Vision (ICCV 2015) (11 Dec 2015 - 18 Dec 2015 : Santiago, CHILE)
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)
2017Automatic quantification of tumour hypoxia from multi-modal microscopy images using weakly-supervised learning methodsCarneiro, G.; Peng, T.; Bayer, C.; Navab, N.