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Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation.

, , , , , , , , , , and . ABDI@MICCAI, volume 8676 of Lecture Notes in Computer Science, page 139-147. Springer, (2014)

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Graph cut based automatic prostate segmentation using learned semantic information.. ISBI, page 1316-1319. (2013)Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI., , , , , and . ISBI, page 844-847. (2013)A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure., , , , and . J. Digital Imaging, 26 (5): 920-931 (2013)Automatic Cardiac Segmentation Using Semantic Information from Random Forests.. J. Digital Imaging, 27 (6): 794-804 (2014)Cardiac MRI Segmentation Using Mutual Context Information from Left and Right Ventricle.. J. Digital Imaging, 26 (5): 898-908 (2013)Consensus Based Medical Image Segmentation Using Semi-Supervised Learning And Graph Cuts.. CoRR, (2016)Active learning based segmentation of Crohns disease from abdominal MRI., , and . Computer Methods and Programs in Biomedicine, (2016)Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features., , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86693K. SPIE, (2013)Image Registration Based on Autocorrelation of Local Structure., , , , , and . IEEE Trans. Med. Imaging, 35 (1): 63-75 (2016)Visual Saliency Based Active Learning for Prostate MRI Segmentation., and . MLMI, volume 9352 of Lecture Notes in Computer Science, page 9-16. Springer, (2015)