Prediction of cerebral aneurysm hemodynamics with porous-medium models of flow-diverting stents via deep learning

G Li, X Song, H Wang, S Liu, J Ji, Y Guo, A Qiao… - Frontiers in …, 2021 - frontiersin.org
The interventional treatment of cerebral aneurysm requires hemodynamics to provide proper
guidance. Computational fluid dynamics (CFD) is gradually used in calculating cerebral …

Deep learning-based hemodynamic prediction of carotid artery stenosis before and after surgical treatments

S Wang, D Wu, G Li, Z Zhang, W Xiao, R Li… - Frontiers in …, 2023 - frontiersin.org
Hemodynamic prediction of carotid artery stenosis (CAS) is of great clinical significance in
the diagnosis, prevention, and treatment prognosis of ischemic strokes. While computational …

Deep segmentation of point clouds of wheat

M Ghahremani, K Williams, FMK Corke… - Frontiers in Plant …, 2021 - frontiersin.org
The 3D analysis of plants has become increasingly effective in modeling the relative
structure of organs and other traits of interest. In this paper, we introduce a novel pattern …

Dynamic local geometry capture in 3d point cloud classification

SV Sheshappanavar… - 2021 IEEE 4th …, 2021 - ieeexplore.ieee.org
With the advent of PointNet, the popularity of deep neural networks has increased in point
cloud analysis. PointNet's successor, PointNet++, partitions the input point cloud and …

[PDF][PDF] Pointcloud-c: Benchmarking and analyzing point cloud perception robustness under corruptions

J Ren, L Kong, L Pan, Z Liu - preprint, 2022 - researchgate.net
3D perception, especially point cloud classification and part segmentation, has achieved
substantial progress. The advances include new network architectures, data augmentation …

[HTML][HTML] The improved stratified transformer for organ segmentation of Arabidopsis

Y Zheng, D Wang, N Jin, X Zhao, F Li… - Mathematical …, 2024 - aimspress.com
Segmenting plant organs is a crucial step in extracting plant phenotypes. Despite the
advancements in point-based neural networks, the field of plant point cloud segmentation …

Rigid Registration

M Ghahremani, Y Liu, Y Zhao, L Ai, R Song… - Computer Vision: A …, 2020 - Springer
Background Current laser scanning technologies such as Kinect sensor released by
Microsoft in 2010 enable the acquisition of both depth and intensity information from an …

Object detection for collision avoidance from lidar point clouds

M Rebane - 2022 - wrap.warwick.ac.uk
This thesis advances deep learning models that are essential for collision avoidance of
autonomous vehicles. The first contribution is an advanced multi-component loss function for …

Multi-Branch Global Graph Convolution Network for Point Clouds

H Fan, G Liu, Y Liu, J Ye - IEEE Access, 2021 - ieeexplore.ieee.org
For finding the defect inside of rails, we usually use the ultrasound to inspect the rails and
obtain point clouds data of the returned ultrasonic signals after preprocessing. The quantity …

[引用][C] Deep Learning-Based Hemodynamic Prediction of Carotid Artery Stenosis Before and after Stent Intervention

S Wang, D Wu, G Li, Z Zhang, W Xiao, R Li, A Qiao… - Available at SSRN 4214496