73 citations · 166 across the 4 of their papers we have counts for
4 papers
Characterizing soot in TEM images using a convolutional neural network
Timothy A. Sipkens, Max Frei, Alberto Baldelli +3
Soot is an important material with impacts that depend on particle morphology. Transmission electron microscopy (TEM) represents one of the most direct routes to qualitatively asse…
FibeR-CNN: Expanding Mask R-CNN to Improve Image-Based Fiber Analysis
Max Frei, Frank Einar Kruis
Fiber-shaped materials (e.g. carbon nano tubes) are of great relevance, due to their unique properties but also the health risk they can impose. Unfortunately, image-based analysis…
Image-Based Size Analysis of Agglomerated and Partially Sintered Particles via Convolutional Neural Networks
Max Frei, Frank Einar Kruis
There is a high demand for fully automated methods for the analysis of primary particle size distributions of agglomerated, sintered or occluded primary particles, due to their imp…
Fully automated primary particle size analysis of agglomerates on transmission electron microscopy images via artificial neural networks
Max Frei, Frank Einar Kruis
There is a high demand for fully automated methods for the analysis of primary particle size distributions of agglomerates on transmission electron microscopy images. Therefore, a…