Publications

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2023
C. Di Ruberto, Loddo, A., and Putzu, L., “On The Potential of Image Moments for Medical Diagnosis”, Journal of Imaging, vol. 9, 2023.
2022
A. Loddo and Putzu, L., “On the Reliability of CNNs in Clinical Practice: A Computer-Aided Diagnosis System Case Study”, Applied Sciences (Switzerland), vol. 12, 2022.
C. Di Ruberto, Loddo, A., and Putzu, L., “Special Issue on Image Processing Techniques for Biomedical Applications”, Applied Sciences (Switzerland), vol. 12, 2022.
2021
A. Loddo and Putzu, L., “On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario”, AI, vol. 2, pp. 394–412, 2021.
E. Ledda, Putzu, L., Delussu, R., Loddo, A., and Fumera, G., “How Realistic Should Synthetic Images Be for Training Crowd Counting Models?”, in Computer Analysis of Images and Patterns, Cham, 2021, pp. 46–56.
L. Putzu, Loddo, A., and Di Ruberto, C., “Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval”, in Computer Analysis of Images and Patterns, Cham, 2021, pp. 287–297.
2020
C. Di Ruberto, Loddo, A., and Putzu, L., “Detection of red and white blood cells from microscopic blood images using a region proposal approach”, Computers in Biology and Medicine, vol. 116, 2020.
2019
C. Di Ruberto, Loddo, A., and Putzu, L., “A region proposal approach for cells detection and counting from microscopic blood images”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11752 LNCS, pp. 47 – 58, 2019.
2018
S. Porcu, Loddo, A., Putzu, L., and Di Ruberto, C., “White blood cells counting via vector field convolution nuclei segmentation”, in VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018, vol. 4, pp. 227 – 234.
2017
A. Loddo, Putzu, L., Di Ruberto, C., and Fenu, G., “A Computer-Aided System for Differential Count from Peripheral Blood Cell Images”, in Proceedings - 12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016, 2017, pp. 112 – 118.
C. Di Ruberto, Loddo, A., and Putzu, L., “Histological image analysis by invariant descriptors”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10484 LNCS, pp. 345 – 356, 2017.
2016
C. Di Ruberto, Loddo, A., and Putzu, L., “A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling”, Machine Vision and Applications, vol. 27, pp. 1151 – 1160, 2016.
A. Loddo, Di Ruberto, C., and Putzu, L., “Peripheral blood image analysis”, in VISIGRAPP 2016 - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Doctoral Consortium, 2016, pp. 15 – 23.
2015
C. Di Ruberto, Loddo, A., and Putzu, L., “Learning by sampling for white blood cells segmentation”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9279, pp. 557 – 567.
C. Di Ruberto, Loddo, A., and Putzu, L., “A multiple classifier learning by sampling system for white blood cells segmentation”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9257, pp. 415 – 425, 2015.