Publications
_{Mathematical Approaches to Fungal Biology}

Vidal-Diez de Ulzurrun, G.; Huang, T.-Y.; Chang, C.-W.; Lin, H.-C.; Hsueh, Y.-P.: Fungal feature tracker (FFT): A tool for quantitatively characterizing the morphology and growth of filamentous fungi. PLOS Computational Biology 15 (10), e1007428 (2019)

Wang, G.; Lopez-Molina, C.; Vidal-Diez de Ulzurrun, G.; De Baets, B.: Noise-robust line detection using normalized and adaptive second-order anisotropic Gaussian kernels. Signal Processing 160, pp. 252 - 262 (2019)

De Ligne, L.; Vidal-Diez de Ulzurrun, G.; Baetens, J.; Van den Bulcke, J.; Van Acker, J.; De Baets, B.: Analysis of spatio-temporal fungal growth dynamics under different environmental conditions. IMA Fungus 10 (7) (2019)

Vidal-Diez de Ulzurrun, G.: Mathematical approaches to study the fungal network. WorkShop DREAMS19, Nice, France (2019)