Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers. - Alvaro Gomariz 001; Raphael Egli; Tiziano Portenier; César Nombela-Arrieta; Orcun Goksel (ISBI, 2021)

Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps. - Alvaro Gomariz 001; Tiziano Portenier; César Nombela-Arrieta; Orcun Goksel (CoRR, 2021)

Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy. - Alvaro Gomariz 001; Tiziano Portenier; Patrick M. Helbling; Stephan Isringhausen; Ute Suessbier; César Nombela-Arrieta; Orcun Goksel (Nat. Mach. Intell., 2021)