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A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design
Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni +6
When processing large medical imaging studies, adopting high performance grid computing resources rapidly becomes important. We recently presented a "medical image processing-as-a-…
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth
Yuankai Huo, Zhoubing Xu, Shunxing Bao +3
A lack of generalizability is one key limitation of deep learning based segmentation. Typically, one manually labels new training images when segmenting organs in different imaging…
Opportunities for Mining Radiology Archives for Pediatric Control Images
Camilo Bermudez, Varvara N Probst, Larry T Davis +2
A large database of brain imaging data from healthy, normal controls is useful to describe physiologic and pathologic structural changes at a population scale. In particular, these…
Estimated Incidence of Ophthalmic Conditions Associated with Optic Nerve Disease in Middle Tennessee
Shikha Chaganti, Katrina M. Nelson, Robert Harrigan +6
Aims. The objective of this paper is to determine the incidence of ophthalmic disease potentially leading to optic nerve disease in Middle Tennessee. Methods. We use a retrospectiv…
Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation
Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni +1
Whole brain segmentation and cortical surface parcellation are essential in understanding the anatomical-functional relationships of the brain. Multi-atlas segmentation has been re…
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks
Yuankai Huo, Zhoubing Xu, Shunxing Bao +7
Spleen volume estimation using automated image segmentation technique may be used to detect splenomegaly (abnormally enlarged spleen) on Magnetic Resonance Imaging (MRI) scans. In…
4D Multi-atlas Label Fusion using Longitudinal Images
Yuankai Huo, Susan M. Resnick, Bennett A. Landman
Longitudinal reproducibility is an essential concern in automated medical image segmentation, yet has proven to be an elusive objective as manual brain structure tracings have show…