Elijah Biggs

According to our database1, Elijah Biggs authored at least 8 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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
Marginal shape deep learning: applications to pediatric lung field segmentation.
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

Semi-automatic assessment of pediatric hydronephrosis severity in 3D ultrasound.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016


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