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Rueben Banalagay

Showing results (1-10 of 3) with videos related to

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Neuroinformatics|June 8, 2014
Resource estimation in high performance medical image computingRueben Banalagay, Kelsie Jade Covington, D M Wilkes, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 2, 2021
Hybrid active shape and deep learning method for the accurate and robust segmentation of the intracochlear anatomy in clinical head CT and CBCT imagesYubo Fan, Dongqing Zhang, Rueben Banalagay, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 2, 2019
Two-level Training of a 3d U-Net for Accurate Segmentation of the Intra-cochlear Anatomy in Head CTs with Limited Ground Truth Training DataDongqing Zhang, Rueben Banalagay, Jianing Wang, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Neuroinformatics|June 8, 2014
Resource estimation in high performance medical image computingRueben Banalagay, Kelsie Jade Covington, D M Wilkes, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 2, 2021
Hybrid active shape and deep learning method for the accurate and robust segmentation of the intracochlear anatomy in clinical head CT and CBCT imagesYubo Fan, Dongqing Zhang, Rueben Banalagay, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 2, 2019
Two-level Training of a 3d U-Net for Accurate Segmentation of the Intra-cochlear Anatomy in Head CTs with Limited Ground Truth Training DataDongqing Zhang, Rueben Banalagay, Jianing Wang, et al.
Pageof 1