A Data Model for Handling Whole Slide Microscopy Images in Picture Archiving and Communications Systems. - Vytenis Punys; Arvydas Laurinavicius; Jurate Puniene (MIE, 2009)

Glomerulus Classification with Convolutional Neural Networks. - Aníbal Pedraza; Jaime Gallego; Samuel Lopez; Lucia González; Arvydas Laurinavicius; Gloria Bueno (MIUA, 2017)

Machine Learning Based Classification of Colorectal Cancer Tumour Tissue in Whole-Slide Images. - Mindaugas Morkunas; Povilas Treigys; Jolita Bernataviciene; Arvydas Laurinavicius; Grazina Korvel (Informatica, 2018)

Glomerulus Classification and Detection Based on Convolutional Neural Networks. - Jaime Gallego; Aníbal Pedraza; Samuel Lopez; Georg Steiner; Lucia González; Arvydas Laurinavicius; Gloria Bueno (J. Imaging, 2018)

A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer. - Mohammed M. Abdelsamea; Alain Pitiot; Ruta Barbora Grineviciute; Justinas Besusparis; Arvydas Laurinavicius; Mohammad Ilyas (Expert Syst. Appl., 2019)

Deep Learning Model for Cell Nuclei Segmentation and Lymphocyte Identification in Whole Slide Histology Images. - Elzbieta Budginaite; Mindaugas Morkunas; Arvydas Laurinavicius; Povilas Treigys (Informatica, 2021)

A Spatially Guided Machine-Learning Method to Classify and Quantify Glomerular Patterns of Injury in Histology Images. - Justinas Besusparis; Mindaugas Morkunas; Arvydas Laurinavicius (J. Imaging, 2023)

Multi-modal AI for comprehensive breast cancer prognostication. - Jan Witowski; Ken Zeng; Joseph Cappadona; Jailan Elayoubi; Elena Diana Chiru; Nancy Chan; Young-Joon Kang; Frederick Howard; Irina Ostrovnaya; Carlos Fernandez-Granda; Freya Schnabel; Ugur Ozerdem; et al. (CoRR, 2024)

Unsupervised learning for labeling global glomerulosclerosis. - Hrafn Weishaupt; Justinas Besusparis; Cleo-Aron Weis; Stefan Porubský; Arvydas Laurinavicius; Sabine Leh (Comput. Biol. Medicine, 2025)