Publications

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Journal Article
C. Di Ruberto, Loddo, A., e Putzu, L., «Special Issue on Image Processing Techniques for Biomedical Applications», Applied Sciences (Switzerland), vol 12, 2022.
R. Delussu, Putzu, L., e Fumera, G., «Scene-specific Crowd Counting Using Synthetic Training Images», Pattern Recognition, vol 124, 2022. (3.14 MB)
L. Putzu e Di Ruberto, C., «Rotation invariant co-occurrence matrix features», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 10484 LNCS, pagg 391 – 401, 2017.
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.
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.
C. Di Ruberto, Loddo, A., e Putzu, L., «On The Potential of Image Moments for Medical Diagnosis», Journal of Imaging, vol 9, 2023.
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.
L. Putzu, Di Ruberto, C., e Fenu, G., «A mobile application for leaf detection in complex background using saliency maps», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 10016 LNCS, pagg 570 – 581, 2016.
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.
L. Putzu, Caocci, G., e Di Ruberto, C., «Leucocyte classification for leukaemia detection using image processing techniques», Artificial Intelligence in Medicine, vol 62, pagg 179 – 191, 2014.
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.
C. Di Ruberto, Putzu, L., e Rodriguez, G., «Fast and accurate computation of orthogonal moments for texture analysis», Pattern Recognition, vol 83, pagg 498 – 510, 2018.
L. Putzu e Fumera, G., «An empirical evaluation of nuclei segmentation from H&E images in a real application scenario», Applied Sciences (Switzerland), vol 10, pagg 1-15, 2020.
A. Loddo e Putzu, L., «On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario», AI, vol 2, pagg 394–412, 2021.
C. Di Ruberto, Fodde, G., e Putzu, L., «On different colour spaces for medical colour image classification», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 9256, pagg 477 – 488, 2015.
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.
L. Putzu, Piras, L., e Giacinto, G., «Convolutional neural networks for relevance feedback in content based image retrieval: A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback», Multimedia Tools and Applications, vol 79, pagg 26995-27021, 2020.
Conference Proceedings
E. Ledda, Putzu, L., Delussu, R., Fumera, G., e Roli, F., «On the Evaluation of Video-Based Crowd Counting Models», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 13233 LNCS. pagg 301 – 311, 2022.
C. Di Ruberto, Fodde, G., e Putzu, L., «Comparison of statistical features for medical colour image classification», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 9163. pagg 3 – 13, 2015.
Conference Paper
L. Putzu e Di Ruberto, C., «White Blood Cells Identification and Classification from Leukemic Blood Image», in PROCEEDINGS IWBBIO 2013: INTERNATIONAL WORK-CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, AV ANDALUCIA, 38, GRANADA, GRANADA 18014, SPAIN, 2013, pagg 99-106.
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.
L. Putzu, Piras, L., e Giacinto, G., «Ten years of Relevance Score for Content Based Image Retrieval», in 14th International Conference Machine Learning and Data Mining (MLDM), New York, 2018, vol 10935.
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.
R. Delussu, Putzu, L., Fumera, G., e Roli, F., «Online Domain Adaptation for Person Re-Identification with a Human in the Loop», in 25th International Conference on Pattern Recognition, {ICPR} 2020, Virtual Event / Milan, Italy, January 10-15, 2021, 2020, pagg 3829–3836. (770.02 KB)
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.

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