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Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes., , , , , , , , and . MCV@MICCAI, volume 9601 of Lecture Notes in Computer Science, page 47-56. Springer, (2015)Deep learning and its application to medical image segmentation., , , , , , and . CoRR, (2018)Evaluation of deformation accuracy of a virtual pneumoperitoneum method based on clinical trials for patient-specific laparoscopic surgery simulator., , , , , and . Medical Imaging: Image-Guided Procedures, volume 8316 of SPIE Proceedings, page 83160G. SPIE, (2012)Automated abdominal lymph node segmentation based on RST analysis and SVM., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 90352U. SPIE, (2014)Supervoxel Classification Forests for Estimating Pairwise Image Correspondences., , , , , , and . MLMI, volume 9352 of Lecture Notes in Computer Science, page 94-101. Springer, (2015)Self-supervised learning for medical image analysis using image context restoration., , , , , and . Medical Image Analysis, (2019)Discriminative dictionary learning for abdominal multi-organ segmentation., , , , , , , , and . Medical Image Analysis, 23 (1): 92-104 (2015)On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks., , , , , , and . CoRR, (2018)Hierarchical 3D fully convolutional networks for multi-organ segmentation., , , , , , , and . CoRR, (2017)Progressive internal landmark registration for surgical navigation in laparoscopic gastrectomy for gastric cancer., , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (5): 837-845 (2016)