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Improving Registration Robustness for Image-Guided Liver Surgery in a Novel Human-to-Phantom Data Framework.

, , , , , , и . IEEE Trans. Med. Imaging, 36 (7): 1502-1510 (2017)

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William Pierson

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Emulation of the laparoscopic environment for image-guided liver surgery via an abdominal phantom system with anatomical ligamenture., , , , , , , и . Medical Imaging: Image-Guided Procedures, том 10135 из SPIE Proceedings, стр. 101352W. SPIE, (2017)Improving Registration Robustness for Image-Guided Liver Surgery in a Novel Human-to-Phantom Data Framework., , , , , , и . IEEE Trans. Med. Imaging, 36 (7): 1502-1510 (2017)Comparing regularized Kelvinlet functions and the finite element method for registration of medical images to sparse organ data., , , , , и . Medical Image Anal., (2024)Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary., , , , , , , , , и 2 other автор(ы). CoRR, (2019)The sparse data extrapolation problem: strategies for soft-tissue correction for image-guided liver surgery., , , , и . Medical Imaging: Image-Guided Procedures, том 7964 из SPIE Proceedings, стр. 79640C. SPIE, (2011)Comparison study of sparse data-driven soft tissue registration: preliminary results from the image-to-physical liver registration sparse data challenge., , , , и . Medical Imaging: Image-Guided Procedures, том 12466 из SPIE Proceedings, SPIE, (2023)Technical note: Nonrigid registration for laparoscopic liver surgery using sparse intraoperative data., , , , , , , , и . Medical Imaging: Image-Guided Procedures, том 10576 из SPIE Proceedings, стр. 105760D. SPIE, (2018)Texture feature analysis for prediction of postoperative liver failure prior to surgery., , , , и . Medical Imaging: Image Processing, том 9034 из SPIE Proceedings, стр. 903414. SPIE, (2014)Image guidance improves localization of sonographically occult colorectal liver metastases., , , , , и . Medical Imaging: Image-Guided Procedures, том 9415 из SPIE Proceedings, стр. 94151L. SPIE, (2015)Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers., , , , и . MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, том 14394 из Lecture Notes in Computer Science, стр. 311-321. Springer, (2023)