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Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning., , , , , и . SASHIMI@MICCAI, том 11827 из Lecture Notes in Computer Science, стр. 90-99. Springer, (2019)Tumor Depth and Size Perception Using a Pneumatic Tactile Display in Laparoscopic Surgery., , и . IEEE Access, (2021)Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes., , , , , , , , и . MCV@MICCAI, том 9601 из Lecture Notes in Computer Science, стр. 47-56. Springer, (2015)Automated anatomical labeling method for abdominal arteries extracted from 3D abdominal CT images., , , , , и . Medical Imaging: Image Processing, том 8314 из SPIE Proceedings, стр. 83142F. SPIE, (2012)Multi-atlas pancreas segmentation: Atlas selection based on vessel structure., , , , , , , , и . Medical Image Anal., (2017)A skeleton context-aware 3D fully convolutional network for abdominal artery segmentation., , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 18 (3): 461-472 (марта 2023)Automatic abdominal lymph node detection method based on local intensity structure analysis from 3D x-ray CT images., , , , , , , , , и 1 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 8670 из SPIE Proceedings, стр. 86701K. SPIE, (2013)DRINet for Medical Image Segmentation., , , , , и . IEEE Trans. Med. Imaging, 37 (11): 2453-2462 (2018)Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation., , , , , и . MLMI@MICCAI, том 10541 из Lecture Notes in Computer Science, стр. 79-87. Springer, (2017)Softness measurement by forceps-type tactile sensor using acoustic reflection., , , и . IROS, стр. 3791-3796. IEEE, (2015)