| Analysis of infected blood cell images using morphological operators C Di Ruberto, A Dempster, S Khan, B Jarra Image and vision computing 20 (2), 133-146, 2002 | 414 | 2002 |
| Leucocyte classification for leukaemia detection using image processing techniques L Putzu, G Caocci, C Di Ruberto Artificial intelligence in medicine 62 (3), 179-191, 2014 | 311 | 2014 |
| Segmentation of blood images using morphological operators C Di Rubeto, A Dempster, S Khan, B Jarra Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 186 | 2000 |
| Recognition of shapes by attributed skeletal graphs C Di Ruberto Pattern Recognition 37 (1), 21-31, 2004 | 152 | 2004 |
| White blood cells identification and counting from microscopic blood images L Putzu, C Di Ruberto World Academy of Science, Engineering and Technology 73, 363-370, 2013 | 113 | 2013 |
| Automatic thresholding of infected blood images using granulometry and regional extrema C Di Ruberto, A Dempster, S Khan, B Jarra Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 77 | 2000 |
| Recent advances of malaria parasites detection systems based on mathematical morphology A Loddo, C Di Ruberto, M Kocher Sensors 18 (2), 513, 2018 | 67 | 2018 |
| White blood cells identification and classification from leukemic blood image L Putzu, C Di Ruberto Proceedings of the International Work-Conference on Bioinformatics and …, 2013 | 64 | 2013 |
| Circularity measures based on mathematical morphology C Di Ruberto, A Dempster Electronics Letters 36 (20), 1, 2000 | 52 | 2000 |
| Detection of red and white blood cells from microscopic blood images using a region proposal approach C Di Ruberto, A Loddo, L Putzu Computers in biology and medicine 116, 103530, 2020 | 45 | 2020 |
| A novel deep learning based approach for seed image classification and retrieval A Loddo, M Loddo, C Di Ruberto Computers and Electronics in Agriculture 187, 106269, 2021 | 44 | 2021 |
| Morphological image processing for evaluating malaria disease C Di Ruberto, A Dempster, S Khan, B Jarra Visual Form 2001: 4th International Workshop on Visual Form, IWVF4 Capri …, 2001 | 44 | 2001 |
| A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling C Di Ruberto, A Loddo, L Putzu Machine Vision and Applications 27, 1151-1160, 2016 | 35 | 2016 |
| Different methods to segment biomedical images S Vitulano, C Di Ruberto, M Nappi Pattern Recognition Letters 18 (11-13), 1125-1131, 1997 | 34 | 1997 |
| Fast and accurate computation of orthogonal moments for texture analysis C Di Ruberto, L Putzu, G Rodriguez Pattern Recognition 83, 498-510, 2018 | 30 | 2018 |
| MP-IDB: the malaria parasite image database for image processing and analysis A Loddo, C Di Ruberto, M Kocher, G Prod’Hom Processing and Analysis of Biomedical Information: First International …, 2019 | 29 | 2019 |
| Blob detection and deep learning for leukemic blood image analysis C Di Ruberto, A Loddo, G Puglisi Applied Sciences 10 (3), 1176, 2020 | 28 | 2020 |
| A fast leaf recognition algorithm based on SVM classifier and high dimensional feature vector C Di Ruberto, L Putzu 2014 International Conference on Computer Vision Theory and Applications …, 2014 | 27 | 2014 |
| Moment-based techniques for image retrieval C Di Ruberto, A Morgera 2008 19th International Workshop on Database and Expert Systems Applications …, 2008 | 25 | 2008 |
| Deep learning based pipelines for Alzheimer's disease diagnosis: a comparative study and a novel deep-ensemble method A Loddo, S Buttau, C Di Ruberto Computers in biology and medicine 141, 105032, 2022 | 23 | 2022 |
Lorenzo PutzuUniversity of CagliariVerified email at unica.it
