GitHub - timzhang642/3D-Machine-Learning: A resource repository for 3D machine learning
CUBIT – Sandia National Laboratories
A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis | Journal of The Royal Society Interface
Frontiers | Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations | Physics
Pressure injury image analysis with machine learning techniques: A systematic review on previous and possible future methods - ScienceDirect
Deep learning in pore scale imaging and modeling - ScienceDirect
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning | Nature Methods
Autonomous Geometry Processing Using Machine Learning and Forge | Autodesk University
Machine learning for data-driven discovery in solid Earth geoscience
Generating 3D Models with PolyGen and PyTorch | by Mason McGough | Towards Data Science
3D Object Classification | Papers With Code
Infrared spectroscopy data- and physics-driven machine learning for characterizing surface microstructure of complex materials | Nature Communications
ImFusion - ImFusion Suite
Mesh generation - Wikipedia
Voxel and surface mesh (a) and voxel mesh analysis (b). | Download Scientific Diagram
MeshingNet: A New Mesh Generation Method based on Deep Learning | DeepAI
GitHub - timzhang642/3D-Machine-Learning: A resource repository for 3D machine learning
3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification | Scientific Reports
Frontiers | Geometric Convolutional Neural Network for Analyzing Surface-Based Neuroimaging Data | Frontiers in Neuroinformatics
AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What's the Difference? | IBM
Google AI Blog: Real-Time AR Self-Expression with Machine Learning
GitHub - timzhang642/3D-Machine-Learning: A resource repository for 3D machine learning
Combining computationally assisted imaging and machine learning-based... | Download Scientific Diagram
Machine learning for data-driven discovery in solid Earth geoscience
Anomaly detection in Skin Model Shapes using machine learning classifiers | SpringerLink
Deep learning in 3D with Facebook AI's new tool PyTorch3D
