| 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 | 423 | 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 | 359 | 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 | 188 | 2000 |
| Recognition of shapes by attributed skeletal graphs C Di Ruberto Pattern Recognition 37 (1), 21-31, 2004 | 156 | 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 | 127 | 2013 |
| 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 | 118 | 2022 |
| 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 | 109 | 2021 |
| Recent advances of malaria parasites detection systems based on mathematical morphology A Loddo, C Di Ruberto, M Kocher Sensors 18 (2), 513, 2018 | 83 | 2018 |
| 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 | 80 | 2000 |
| 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 | 79 | 2013 |
| 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 | 66 | 2020 |
| Blob detection and deep learning for leukemic blood image analysis C Di Ruberto, A Loddo, G Puglisi Applied Sciences 10 (3), 1176, 2020 | 60 | 2020 |
| Circularity measures based on mathematical morphology C Di Ruberto, A Dempster Electronics Letters 36 (20), 1691-1693, 2000 | 55 | 2000 |
| 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 | 54 | 2019 |
| Morphological image processing for evaluating malaria disease C Di Ruberto, A Dempster, S Khan, B Jarra International Workshop on Visual Form, 739-748, 2001 | 48 | 2001 |
| Fast and accurate computation of orthogonal moments for texture analysis C Di Ruberto, L Putzu, G Rodriguez Pattern Recognition 83, 498-510, 2018 | 41 | 2018 |
| 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 | 38 | 2016 |
| Different methods to segment biomedical images S Vitulano, C Di Ruberto, M Nappi Pattern Recognition Letters 18 (11-13), 1125-1131, 1997 | 35 | 1997 |
| An empirical evaluation of convolutional networks for malaria diagnosis A Loddo, C Fadda, C Di Ruberto Journal of Imaging 8 (3), 66, 2022 | 32 | 2022 |
| 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 | 31 | 2014 |
Andrea LoddoAssistant professor, University of CagliariPotvrđena adresa e-pošte na unica.it