Overview of the CADA Challenge at MICCAI 2020
Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)
Introduction
CADA: Clinical Background and Motivation
Cerebral Aneurysm Detection
Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection
Detect and Identify Aneurysms Based on Ajusted 3D Attention Unet
Cerebral Aneurysm Segmentation
A$\nu$-net: Automatic Detection and Segmentation of Aneurysm
3D Attention U-Net with pretraining: A Solution to CADA-Aneurysm Segmentation Challenge
Exploring Large Context for Cerebral Aneurysm Segmentation
Cerebral Aneurysm Rupture Risk Estimation
CADA Challenge: Rupture risk assessment using Computational Fluid Dynamics
Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network
Intracranial aneurysm rupture risk estimation utilizing vessel-graphs and machine learning
Intracranial aneurysm rupture prediction with computational fluid dynamics point clouds.