In: Bioinformatics, 2018, vol. 34, no. 13, p. i574-i582
|
In: Bioinformatics, 2017, vol. 33, no. 13, p. 2020-2028
|
In: International Urogynecology Journal, 2015, vol. 26, no. 5, p. 685-691
|
In: International Journal of Computer Vision, 2015, vol. 111, no. 3, p. 298-314
|
In: International Journal of Computer Assisted Radiology and Surgery, 2015, vol. 10, no. 7, p. 1097-1107
|
In: Neuroinformatics, 2015, vol. 13, no. 1, p. 83-92
|
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...
|
In: International Journal of Computer Vision, 2014, vol. 110, no. 3, p. 328-348
|
In: Journal of Electronic Materials, 2014, vol. 43, no. 4, p. 1026-1042
|
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...
|