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David T. Gering

Researcher at General Electric

Publications -  54
Citations -  3513

David T. Gering is an academic researcher from General Electric. The author has contributed to research in topics: Image processing & Intraoperative MRI. The author has an hindex of 22, co-authored 54 publications receiving 3042 citations. Previous affiliations of David T. Gering include GE Healthcare & Brigham and Women's Hospital.

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Posted ContentDOI

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, +438 more
- 05 Nov 2018 - 
TL;DR: This study assesses the state-of-the-art machine learning methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018, and investigates the challenge of identifying the best ML algorithms for each of these tasks.
Journal ArticleDOI

Serial intraoperative magnetic resonance imaging of brain shift.

Arya Nabavi, +12 more
- 01 Apr 2001 - 
TL;DR: Only serial intraoperative magnetic resonance imaging provides an accurate basis for the computational analysis of brain deformations, which might lead to an understanding and eventual simulation of brain shift for intraoperative guidance.
Journal ArticleDOI

An integrated visualization system for surgical planning and guidance using image fusion and an open MR.

David T. Gering, +9 more
- 01 Jun 2001 - 
TL;DR: A surgical guidance and visualization system that uniquely integrates capabilities for data analysis and on‐line interventional guidance into the setting of interventional MRI is presented, which has been applied in 45 neurosurgical cases and found to have beneficial utility for planning and guidance.
Book ChapterDOI

An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and Interventional Imaging

David T. Gering, +7 more
TL;DR: A software package which uniquely integrates several facets of image-guided medicine into a single portable, extendable environment and describes its system architecture, wide range of applications, and novel integration with an interventional Magnetic Resonance scanner to augment intra-operative imaging with pre-operative data.
Journal ArticleDOI

MR-Based three-dimensional modeling of the normal pelvic floor in women : Quantification of muscle mass

Julia R. Fielding, +7 more
- 01 Mar 2000 - 
TL;DR: Muscle morphology, signal intensity, and volume is relatively uniform among healthy young women, and the vagina followed no recognizable pattern.