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Disambiguation of "Misawa, Kazunari"

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3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation.

, , , , , , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 222-230. Springer, (2017)

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Station number assignment to abdominal lymph node for assisting gastric cancer surgery., , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 9 (4): 357-362 (2021)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)Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning., , , , , and . SASHIMI@MICCAI, volume 11827 of Lecture Notes in Computer Science, page 90-99. Springer, (2019)A semantic segmentation method for laparoscopic images using semantically similar groups., , , , , and . Medical Imaging: Image-Guided Procedures, volume 12466 of SPIE Proceedings, SPIE, (2023)Context encoder guided self-supervised siamese depth estimation based on stereo laparoscopic images., , , , , and . Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)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)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)Employing Weak Annotations for Medical Image Analysis Problems., , , , , , and . CoRR, (2017)Automatic abdominal lymph node detection method based on local intensity structure analysis from 3D x-ray CT images., , , , , , , , , and 1 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86701K. SPIE, (2013)DRINet for Medical Image Segmentation., , , , , and . IEEE Trans. Med. Imaging, 37 (11): 2453-2462 (2018)