Localizing landmark sets in head CTs using random forests and a heuristic search algorithm for registration initialization
Author:
Affiliation:
1. Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, Tenness
Publisher
SPIE-Intl Soc Optical Eng
Subject
Radiology Nuclear Medicine and imaging
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1. HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs;Medical Image Analysis;2020-04
2. Automatic graph-based method for localization of cochlear implant electrode arrays in clinical CT with sub-voxel accuracy;Medical Image Analysis;2019-02
3. Automatic localization of closely spaced cochlear implant electrode arrays in clinical CTs;Medical Physics;2018-10-08
4. Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint;Medical Image Computing and Computer Assisted Intervention – MICCAI 2018;2018
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