[HTML][HTML] Outcome prediction based on automatically extracted infarct core image features in patients with acute ischemic stroke
ML Tolhuisen, JW Hoving, MS Koopman, M Kappelhof… - Diagnostics, 2022 - mdpi.com
Infarct volume (FIV) on follow-up diffusion-weighted imaging (FU-DWI) is only moderately
associated with functional outcome in acute ischemic stroke patients. However, FU-DWI may …
associated with functional outcome in acute ischemic stroke patients. However, FU-DWI may …
Multitask shape optimization using a 3-d point cloud autoencoder as unified representation
The choice of design representations, as of search operators, is central to the performance
of evolutionary optimization algorithms, in particular, for multitask problems. The multitask …
of evolutionary optimization algorithms, in particular, for multitask problems. The multitask …
[HTML][HTML] Learning hyperparameter predictors for similarity-based multidisciplinary topology optimization
M Bujny, MS Yousaf, N Zurbrugg, D Detwiler… - Scientific Reports, 2023 - nature.com
Topology optimization (TO) plays a significant role in industry by providing engineers with
optimal material distributions based exclusively on the information about the design space …
optimal material distributions based exclusively on the information about the design space …
Exploiting generative models for performance predictions of 3D car designs
In automotive digital development, engineers utilize multiple virtual prototyping tools to
design and assess the performance of 3D shapes. However, accurate performance …
design and assess the performance of 3D shapes. However, accurate performance …
DeepMorpher: deep learning-based design space dimensionality reduction for shape optimisation
In engineering design optimisations, the dimensionality of the design space plays a critical
role in determining the number of computationally expensive evaluations required to explore …
role in determining the number of computationally expensive evaluations required to explore …
Quantifying the generative capabilities of variational autoencoders for 3D car point clouds
During each cycle of automotive development, large amounts of geometric data are
generated as results of design studies and simulation tasks. Discovering hidden knowledge …
generated as results of design studies and simulation tasks. Discovering hidden knowledge …
Point2ffd: Learning shape representations of simulation-ready 3d models for engineering design optimization
Methods for learning on 3D point clouds became ubiquitous due to the popularization of 3D
scanning technology and advances of machine learning techniques. Among these methods …
scanning technology and advances of machine learning techniques. Among these methods …
Exploiting local geometric features in vehicle design optimization with 3D point cloud autoencoders
Methods for learning and compressing high-dimensional data allow designers to generate
novel and low-dimensional design representations for shape optimization problems. By …
novel and low-dimensional design representations for shape optimization problems. By …
A 3d object recognition method from lidar point cloud based on usae-bls
Environmental perception provides the necessary information for unmanned ground
vehicles to recognize and interact with surrounding objects. Velodyne light detection and …
vehicles to recognize and interact with surrounding objects. Velodyne light detection and …
[HTML][HTML] Evaluation of geometric similarity metrics for structural clusters generated using topology optimization
In the early stages of engineering design, multitudes of feasible designs can be generated
using structural optimization methods by varying the design requirements or user …
using structural optimization methods by varying the design requirements or user …