Publications

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A. Loddo, Putzu, L., Di Ruberto, C., e 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, pagg 112 – 118.
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C. Di Ruberto, Loddo, A., e 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.
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A. Loddo e Putzu, L., «On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario», AI, vol 2, pagg 394–412, 2021.
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C. Di Ruberto, Loddo, A., e 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, pagg 345 – 356, 2017.
E. Ledda, Putzu, L., Delussu, R., Loddo, A., e Fumera, G., «How Realistic Should Synthetic Images Be for Training Crowd Counting Models?», in Computer Analysis of Images and Patterns, Cham, 2021, pagg 46–56.
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L. Putzu, Loddo, A., e 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, pagg 287–297.
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C. Di Ruberto, Loddo, A., e 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, pagg 557 – 567.
C. Di Ruberto, Loddo, A., e 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, pagg 1151 – 1160, 2016.
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C. Di Ruberto, Loddo, A., e 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, pagg 415 – 425, 2015.
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A. Loddo, Di Ruberto, C., e 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, pagg 15 – 23.
C. Di Ruberto, Loddo, A., e Putzu, L., «On The Potential of Image Moments for Medical Diagnosis», Journal of Imaging, vol 9, 2023.
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C. Di Ruberto, Loddo, A., e 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, pagg 47 – 58, 2019.
A. Loddo e Putzu, L., «On the Reliability of CNNs in Clinical Practice: A Computer-Aided Diagnosis System Case Study», Applied Sciences (Switzerland), vol 12, 2022.
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C. Di Ruberto, Loddo, A., e Putzu, L., «Special Issue on Image Processing Techniques for Biomedical Applications», Applied Sciences (Switzerland), vol 12, 2022.
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S. Porcu, Loddo, A., Putzu, L., e 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, pagg 227 – 234.