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ORCIDArvydas Laurinavicius
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2020 – today
- 2023
[j5]Justinas Besusparis, Mindaugas Morkunas
, Arvydas Laurinavicius:
A Spatially Guided Machine-Learning Method to Classify and Quantify Glomerular Patterns of Injury in Histology Images. J. Imaging 9(10): 220 (2023)- 2021
- [j4]Elzbieta Budginaite, Mindaugas Morkunas, Arvydas Laurinavicius, Povilas Treigys:
Deep Learning Model for Cell Nuclei Segmentation and Lymphocyte Identification in Whole Slide Histology Images. Informatica 32(1): 23-40 (2021)
2010 – 2019
- 2019
- [j3]Mohammed M. Abdelsamea, Alain Pitiot, Ruta Barbora Grineviciute, Justinas Besusparis, Arvydas Laurinavicius, Mohammad Ilyas:
A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer. Expert Syst. Appl. 118: 539-552 (2019) - 2018
- [j2]Mindaugas Morkunas, Povilas Treigys, Jolita Bernataviciene, Arvydas Laurinavicius, Grazina Korvel:
Machine Learning Based Classification of Colorectal Cancer Tumour Tissue in Whole-Slide Images. Informatica 29(1): 75-90 (2018) - [j1]Jaime Gallego, Aníbal Pedraza, Samuel Lopez, Georg Steiner, Lucia Gonzalez, Arvydas Laurinavicius, Gloria Bueno:
Glomerulus Classification and Detection Based on Convolutional Neural Networks. J. Imaging 4(1): 20 (2018) - 2017
- [c2]Aníbal Pedraza, Jaime Gallego, Samuel Lopez, Lucia Gonzalez, Arvydas Laurinavicius, Gloria Bueno:
Glomerulus Classification with Convolutional Neural Networks. MIUA 2017: 839-849
2000 – 2009
- 2009
- [c1]Vytenis Punys, Arvydas Laurinavicius, Jurate Puniene:
A Data Model for Handling Whole Slide Microscopy Images in Picture Archiving and Communications Systems. MIE 2009: 856-860
Coauthor Index
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