scholarly article | Q13442814 |
P356 | DOI | 10.3897/RIO.3.E11731 |
P2093 | author name string | Rodrigo Riveros | |
Rodrigo Salas | |||
Steren Chabert | |||
Alejandro Veloz | |||
Maximiliano Godoy | |||
Pablo Cox | |||
Tomás Mardones | |||
P2860 | cites work | Non-parametric geodesic active regions: method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA. | Q51025315 |
Nonlinear anisotropic stress analysis of anatomically realistic cerebral aneurysms. | Q51083481 | ||
Morphological characterization of intracranial aneurysms using 3-D moment invariants. | Q51905204 | ||
Physical factors effecting cerebral aneurysm pathophysiology | Q36920195 | ||
Artificial neural networks and prostate cancer--tools for diagnosis and management. | Q38080685 | ||
@neurIST complex information processing toolchain for the integrated management of cerebral aneurysms. | Q39607475 | ||
Machine Learning in Medical Imaging | Q42056164 | ||
Quantified aneurysm shape and rupture risk | Q48987117 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P921 | main subject | machine learning | Q2539 |
feature extraction | Q1026626 | ||
P304 | page(s) | e11731 | |
P577 | publication date | 2017-01-10 | |
P1433 | published in | Research Ideas and Outcomes | Q20895800 |
P1476 | title | Applying machine learning and image feature extraction techniques to the problem of cerebral aneurysm rupture | |
P478 | volume | 3 |
Q91632785 | Predictive analytics and machine learning in stroke and neurovascular medicine | cites work | P2860 |
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