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Consortium of Swiss Academic Libraries

SEEDS: Superpixels Extracted Via Energy-Driven Sampling

Van den Bergh, Michael ; Boix, Xavier ; Roig, Gemma ; Van Gool, Luc

In: International Journal of Computer Vision, 2015, vol. 111, no. 3, p. 298-314

Consortium of Swiss Academic Libraries

A statistical shape model of the human second cervical vertebra

Clogenson, Marine ; Duff, John ; Luethi, Marcel ; Levivier, Marc ; Meuli, Reto ; Baur, Charles ; Henein, Simon

In: International Journal of Computer Assisted Radiology and Surgery, 2015, vol. 10, no. 7, p. 1097-1107

Université de Fribourg

The influence of substituents on gelation and stacking order of oligoaramid – based supramolecular networks

Drechsler, Susanne ; Balog, Sandor ; Kilbinger, Andreas F. M. ; Casalini, Tommaso

In: Soft Matter, 2019, vol. 15, no. 36, p. 7250–7261

Self-assembly has proven to be a powerful tool for functional, smart materials such as hydrogels derived from low molecular weight compounds. However, the targeted design of functional gelators remains difficult. Here, we present a set of four Y-shaped aromatic amide tetramers with varying functionalities able to undergo different non- covalent interactions. These compounds were explored...

Consortium of Swiss Academic Libraries

ImageNet Auto-Annotation with Segmentation Propagation

Guillaumin, Matthieu ; Küttel, Daniel ; Ferrari, Vittorio

In: International Journal of Computer Vision, 2014, vol. 110, no. 3, p. 328-348

Université de Fribourg

A model based two-stage classifier for airborne particles analyzed with Computer Controlled Scanning Electron Microscopy

Meier, Mario Federico ; Mildenberger, Thoralf ; Locher, René ; Rausch, Juanita ; Zünd, Thomas ; Neururer, Christoph ; Ruckstuhl, Andreas ; Grobéty, Bernard

In: Journal of Aerosol Science, 2018, vol. 123, p. 1–16

Computer controlled scanning electron microscopy (CCSEM) is a widely-used method for single airborne particle analysis. It produces extensive chemical and morphological data sets, whose processing and interpretation can be very time consuming. We propose an automated two-stage particle classification procedure based on elemental compositions of individual particles. A rule-based classifier is...