most citedContrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis

2 citations

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2 papers

eess.IV2021★ 2 cited

Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis

Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey +3

Deep learning approaches to the segmentation of magnetic resonance images have shown significant promise in automating the quantitative analysis of brain images. However, a continu…

cs.CV2019

Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury

Samuel Remedios, Snehashis Roy, Justin Blaber +6

Machine learning models are becoming commonplace in the domain of medical imaging, and with these methods comes an ever-increasing need for more data. However, to preserve patient…