Arvydas Laurinavicius

According to our database, Arvydas Laurinavicius authored at least 11 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DALPHIN: Benchmarking Digital Pathology AI Copilots Against Pathologists on an Open Multicentric Dataset.

Carlijn M. Lems, Sander Moonemans, Natalie Klubickova, Biagio Brattoli, Taebum Lee, Seokhwi Kim, Verónica Vilaplana, Laura Pons, Sapir Hochman, Mauricio Eduardo Suárez-Franck, Pedro L. Fernández, Julius Drachneris, Donatas Petroska, Renaldas Augulis, Arvydas Laurinavicius, Domingos Oliveira, Diana Montezuma, Anouk B. Bouwmeester, Dominique van Midden, Anne-Marie Vos, Shoko Vos, Jolique van Ipenburg, Maschenka Balkenhol, Koen Winkler, Iris Nagtegaal, Konnie M. Hebeda, Uta Flucke, Katrien Grunberg, Josef Skopal, Brinder S. Chohan, Jordi Temprana-Salvador, Enrico Munari, Luca Cima, Giulia Querzoli, Yosamin Gonzalez Belisario, Jaeike W. Faber, Geert J. L. H. van Leenders, Jan H. von der Thüsen, Lodewijk A. A. Brosens, Ronald R. de Krijger, Pieter Wesseling, Sandrine Florquin, Mateusz Maniewski, Adam Kowalewski, Robert Barna, Dina Tiniakos, Joan Lop Gros, Rogier Donders, Jake S. F. Maurits, Ming-Hsuan Yang, Chengkuan Chen, Faisal Mahmood, Jeroen van der Laak, Nadieh Khalili, Frédérique Meeuwsen, Francesco Ciompi

CoRR, May, 2026

European cancer data sharing: Analyses of an international survey.

Larson Hogstrom, Arvydas Laurinavicius, Miguel Giraldez Alvarez, Sigve Nakken, Ingrid Jenny Guldvik, Carlos Miguez Sanchez, Olga Papadodima, Konstantinos Voutetakis, Per Magnus Mæhle, Norman Zerbe, Mario Sekerija, Ane Fullaondo, Eivind Hovig

Int. J. Medical Informatics, 2026

2025

Unsupervised learning for labeling global glomerulosclerosis.

Hrafn Weishaupt, Justinas Besusparis, Cleo-Aron Weis, Stefan Porubský, Arvydas Laurinavicius, Sabine Leh

Comput. Biol. Medicine, 2025

2024

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, Kangning Liu, Zoe Steinsnyder, Nitya Thakore, Mohammad Sadic, Frank Yeung, Elisa Liu, Theodore Hill, Benjamin Swett, Danielle Rigau, Andrew Clayburn, Valerie Speirs, Marcus Vetter, Lina Sojak, Simone Muenst Soysal, Daniel Baumhoer, Khalil Choucair, Yu Zong, Lina Daoud, Anas Saad, Waleed Abdulsattar, Rafic Beydoun, Jia-Wern Pan, Haslina Makmur, Soo-Hwang Teo, Linda Ma Pak, Victor Angel, Dovile Zilenaite-Petrulaitiene, Arvydas Laurinavicius, Natalie Klar, Brian Piening, Carlo Bifulco, Sun-Young Jun, Jae Pak Yi, Su Hyun Lim, Adam Brufsky, Francisco J. Esteva, Lajos Pusztai, Yann LeCun, Krzysztof J. Geras

CoRR, 2024

2023

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

2021

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

2019

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

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

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

2017

Glomerulus Classification with Convolutional Neural Networks.

Aníbal Pedraza, Jaime Gallego, Samuel Lopez, Lucia González, Arvydas Laurinavicius, Gloria Bueno

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2009

A Data Model for Handling Whole Slide Microscopy Images in Picture Archiving and Communications Systems.

Vytenis Punys, Arvydas Laurinavicius, Jurate Puniene

Proceedings of the Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, August 30, 2009