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3D Anatomical Shape Atlas Construction Using Mesh Quality Preserved Deformable Models., , , , , and . MeshMed, volume 7599 of Lecture Notes in Computer Science, page 12-21. Springer, (2012)Scalable Histopathological Image Analysis via Active Learning., , , and . MICCAI (3), volume 8675 of Lecture Notes in Computer Science, page 369-376. Springer, (2014)High- and Low-Level Feature Enhancement for Medical Image Segmentation., , , , and . MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 611-619. Springer, (2019)Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015)., , , , , , , and . MCV@MICCAI, volume 9601 of Lecture Notes in Computer Science, page 3-9. Springer, (2015)Alleviating Exposure Bias via Multi-level Contrastive Learning and Deviation Simulation in Abstractive Summarization., , , and . ACL (Findings), page 9732-9747. Association for Computational Linguistics, (2023)PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation., , , , , and . IEEE Trans. Medical Imaging, 42 (8): 2235-2246 (2023)Leveraging coupled multi-index for scalable retrieval of mammographic masses., , , and . ISBI, page 276-280. IEEE, (2015)Mining histopathological images via hashing-based scalable image retrieval., , and . ISBI, page 1111-1114. IEEE, (2014)Robust and efficient 3D registration via depth map-based feature point matching in image-guided neurosurgery., , , , and . ISBI, page 758-761. IEEE, (2014)A Visual Validation Method Based on Point Mappings for Medical Image Segmentation., , and . EMBC, page 3836-3839. IEEE, (2006)