SIMA: Python software for analysis of dynamic fluorescence imaging data. - Patrick Kaifosh; Jeffrey Zaremba; Nathan Danielson; Attila Losonczy (Frontiers Neuroinformatics, 2014)

Non-parametric Vignetting Correction for Sparse Spatial Transcriptomics Images. - Bovey Y. Rao; Alexis M. Peterson; Elena K. Kandror; Stephanie Herrlinger; Attila Losonczy; Liam Paninski; Abbas H. Rizvi; Erdem Varol (MICCAI (8), 2021)

Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks. - Eirini Troullinou; Grigorios Tsagkatakis; Spyridon Chavlis; Gergely F. Turi; Wen-Ke Li; Attila Losonczy; Panagiotis Tsakalides; Panayiota Poirazi (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

tension: A Python package for FORCE learning. - Lu Bin Liu; Attila Losonczy; Zhenrui Liao (PLoS Comput. Biol., 2022)

A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification. - Eirini Troullinou; Grigorios Tsagkatakis; Attila Losonczy; Panayiota Poirazi; Panagiotis Tsakalides (ACSSC, 2023)

Multimodal Microscopy Image Alignment Using Spatial and Shape Information and a Branch-and-Bound Algorithm. - Shuonan Chen; Bovey Y. Rao; Stephanie Herrlinger; Attila Losonczy; Liam Paninski; Erdem Varol (ICASSP, 2023)

A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification. - Eirini Troullinou; Grigorios Tsagkatakis; Attila Losonczy; Panayiota Poirazi; Panagiotis Tsakalides (IEEE Trans. Artif. Intell., 2024)