Quantitative error prediction of medical image registration using regression forests

Hessam Sokooti, Görkem Saygılı, Ben Glocker, Boudewijn P. F. Lelieveldt, Marius Staring

Type: Article

Publication Date: 2019-05-11

Citations: 34

DOI: https://doi.org/10.1016/j.media.2019.05.005

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Medical Image Analysis - View
arXiv (Cornell University) - View - PDF
Spiral (Imperial College London) - View - PDF
PubMed - View
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+	Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery.	2019	Jie Luo Alexandra J. Golby Masashi Sugiyama William M. Wells Sarah Frisken
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Citing (2)

Action	Title	Year	Authors
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg
+	Misdirected Registration Uncertainty	2017	Jie Luo Karteek Popuri Dana Cobzaş Hongyi Ding William M. Wells Masashi Sugiyama