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Jack H Noble

Showing results (11-20 of 118) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 2, 2019
Automatic classification of cochlear implant electrode cavity positioningJack H Noble, Robert F Labadie, Benoit M Dawant
Simulation and Synthesis in Medical Imaging : ... International Workshop, SASHIMI ..., Held in Conjunction with MICCAI ..., Proceedings. SASHIMI (Workshop)|April 1, 2024
Super-resolution segmentation network for inner-ear tissue segmentationZiteng Liu, Yubo Fan, Ange Lou, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 21, 2023
Validation of active shape model techniques for intracochlear anatomy segmentation in computed tomography imagesRueben A Banalagay, Robert F Labadie, Jack H Noble
Journal of Medical Imaging (Bellingham, Wash.)|November 29, 2017
Automatic selection of landmarks in T1-weighted head MRI with regression forests for image registration initializationJianing Wang, Yuan Liu, Jack H Noble, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 18, 2021
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based ConstraintDongqing Zhang, Jianing Wang, Jack H Noble, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 30, 2019
Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the EarJianing Wang, Yiyuan Zhao, Jack H Noble, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 9, 2020
Preoperative prediction of angular insertion depth of lateral wall cochlear implant electrode arraysMohammad M R Khan, Robert F Labadie, Jack H Noble
Medical Image Analysis|February 17, 2020
HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTsDongqing Zhang, Jianing Wang, Jack H Noble, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 19, 2017
Localizing landmark sets in head CTs using random forests and a heuristic search algorithm for registration initializationDongqing Zhang, Yuan Liu, Jack H Noble, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 16, 2017
Automatic localization of landmark sets in head CT images with regression forests for image registration initializationDongqing Zhang, Yuan Liu, Jack H Noble, et al.
Pageof 12

Showing results (11-20 of 118) with videos related to

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Pageof 12
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 2, 2019
Automatic classification of cochlear implant electrode cavity positioningJack H Noble, Robert F Labadie, Benoit M Dawant
Simulation and Synthesis in Medical Imaging : ... International Workshop, SASHIMI ..., Held in Conjunction with MICCAI ..., Proceedings. SASHIMI (Workshop)|April 1, 2024
Super-resolution segmentation network for inner-ear tissue segmentationZiteng Liu, Yubo Fan, Ange Lou, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 21, 2023
Validation of active shape model techniques for intracochlear anatomy segmentation in computed tomography imagesRueben A Banalagay, Robert F Labadie, Jack H Noble
Journal of Medical Imaging (Bellingham, Wash.)|November 29, 2017
Automatic selection of landmarks in T1-weighted head MRI with regression forests for image registration initializationJianing Wang, Yuan Liu, Jack H Noble, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 18, 2021
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based ConstraintDongqing Zhang, Jianing Wang, Jack H Noble, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 30, 2019
Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the EarJianing Wang, Yiyuan Zhao, Jack H Noble, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 9, 2020
Preoperative prediction of angular insertion depth of lateral wall cochlear implant electrode arraysMohammad M R Khan, Robert F Labadie, Jack H Noble
Medical Image Analysis|February 17, 2020
HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTsDongqing Zhang, Jianing Wang, Jack H Noble, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 19, 2017
Localizing landmark sets in head CTs using random forests and a heuristic search algorithm for registration initializationDongqing Zhang, Yuan Liu, Jack H Noble, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 16, 2017
Automatic localization of landmark sets in head CT images with regression forests for image registration initializationDongqing Zhang, Yuan Liu, Jack H Noble, et al.
Pageof 12