Concepedia

Prediction of cerebral aneurysm rupture using a point cloud neural network

Xiaoyuan Luo, Jienan Wang, Xinmei Liang, Lei Yan, XinHua Chen, Jian He, Jing Luo, Bing Zhao, Guangchen He, Manning Wang,

Journal of NeuroInterventional Surgery · 2022 · 18 citations · 28 references

DOI

Abstract

PC-NNs can achieve more accurate CA rupture prediction than traditional radiomics-based models. Furthermore, the performance of the PC-NN model trained with MRA data was superior to that trained with CTA data.

References

28

Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach

Elizabeth R. DeLong, David M. DeLong, Daniel L. Clarke‐Pearson · Biometrics · 1988 · 21.5K citations

Engineering, New Tests, Generalizability Theory +19

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Raffaelli Charles, Hao Su, Kaichun Mo et al. · 2017 · 9.6K citations

Geometric Learning, Engineering, Machine Learning +16

Computational Radiomics System to Decode the Radiographic Phenotype

Joost J. M. van Griethuysen, Andriy Fedorov, Chintan Parmar et al. · Cancer Research · 2017 · 6.2K citations · Full text

NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations

Marat Valiev, Eric J. Bylaska, Niranjan Govind et al. · Computer Physics Communications · 2010 · 5.7K citations

Engineering, Natural Sciences, Molecular Biology +9

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Charles R. Qi, Li Yi, Hao Su et al. · arXiv (Cornell University) · 2017 · 2.1K citations · Full text

Geometric Learning, Convolutional Neural Network, Engineering +18