Concepedia

A machine learning-based prediction model of H3K27M mutations in brainstem gliomas using conventional MRI and clinical features

Changcun Pan, Jia Liu, Jie Tang, Xin Chen, Chen Fang, Yuliang Wu, Yibo Geng, Cheng Xu, Xinran Zhang, Zhen Wu,

Radiotherapy and Oncology · 2018 · 73 citations · 36 references

DOI

Concepts

References

36

Random Forests

Leo Breiman · Machine Learning · 2001 · 126.2K citations · Full text

3D Slicer as an image computing platform for the Quantitative Imaging Network

Andriy Fedorov, Reinhard Beichel, Jayashree Kalpathy–Cramer et al. · Magnetic Resonance Imaging · 2012 · 8.9K citations · Full text

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N4ITK: Improved N3 Bias Correction

Nicholas J. Tustison, Brian Avants, Philip A. Cook et al. · IEEE Transactions on Medical Imaging · 2010 · 6.4K citations

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Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Hugo J.W.L. Aerts, Emmanuel Rios Velazquez, Ralph T. H. Leijenaar et al. · Nature Communications · 2014 · 5.1K citations · Full text

, , +17

Theoretical and Empirical Analysis of ReliefF and RReliefF

Marko Robnik‐Šikonja, Igor Kononenko · Machine Learning · 2003 · 3K citations · Full text

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