Elijah Biggs
According to our database1,
Elijah Biggs
authored at least 8 papers
between 2016 and 2020.
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Timeline
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Bibliography
2020
A Generic Approach to Lung Field Segmentation From Chest Radiographs Using Deep Space and Shape Learning.
IEEE Trans. Biomed. Eng., 2020
2019
Liver segmentation from low-radiation-dose pediatric computed tomography using patient-specific, statistical modeling.
Int. J. Comput. Assist. Radiol. Surg., 2019
2018
Construction of a Spatiotemporal Statistical Shape Model of Pediatric Liver from Cross-Sectional Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Automatic detection of kidney in 3D pediatric ultrasound images using deep neural networks.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
2016
Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation.
IEEE Trans. Medical Imaging, 2016
Renal Segmentation From 3D Ultrasound via Fuzzy Appearance Models and Patient-Specific Alpha Shapes.
IEEE Trans. Medical Imaging, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016