The following publications are possibly variants of this publication:
- Deep learning segmentation of Primary Sjögren's syndrome affected salivary glands from ultrasonography imagesArso M. Vukicevic, Milos D. Radovic, Alen Zabotti, Vera Milic, Alojzija Hocevar, Sara Zandonella Callegher, Orazio De Lucia, Salvatore de Vita, Nenad Filipovic. cbm, 129:104154, 2021. [doi]
- Radiomics-Based Assessment of Primary Sjögren's Syndrome From Salivary Gland Ultrasonography ImagesArso M. Vukicevic, Nenad Filipovic, Vera Milic, Alen Zabotti, Alojzija Hocevar, Orazio De Lucia, Georgios Filippou, Alejandro F. Frangi, Athanasios G. Tzioufas, Salvatore de Vita. titb, 24(3):835-843, 2020. [doi]
- Assessment of Machine Learning Algorithms for the Purpose of Primary Sjögren's Syndrome Grade Classification from Segmented Ultrasonography ImagesArso M. Vukicevic, Alen Zabotti, Salvatore de Vita, Nenad Filipovic. fabulous 2018: 239-245 [doi]