| 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 | 323 | 2014 |
| 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 | 116 | 2013 |
| 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 | 70 | 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 | 49 | 2020 |
| 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 |
| Convolutional neural networks for relevance feedback in content based image retrieval: A Content based image retrieval system that exploits convolutional neural networks both … L Putzu, L Piras, G Giacinto Multimedia Tools and Applications 79, 26995-27021, 2020 | 33 | 2020 |
| Fast and accurate computation of orthogonal moments for texture analysis C Di Ruberto, L Putzu, G Rodriguez Pattern Recognition 83, 498-510, 2018 | 33 | 2018 |
| 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 | 29 | 2014 |
| A computer-aided system for differential count from peripheral blood cell images A Loddo, L Putzu, C Di Ruberto, G Fenu 2016 12th International conference on signal-image technology & internet …, 2016 | 21 | 2016 |
| Accurate blood cells segmentation through intuitionistic fuzzy set threshold C Di Ruberto, L Putzu 2014 Tenth international conference on signal-image technology and internet …, 2014 | 19 | 2014 |
| A multiple classifier learning by sampling system for white blood cells segmentation C Di Ruberto, A Loddo, L Putzu Computer Analysis of Images and Patterns: 16th International Conference …, 2015 | 18 | 2015 |
| Comparison of statistical features for medical colour image classification C Di Ruberto, G Fodde, L Putzu Computer Vision Systems: 10th International Conference, ICVS 2015 …, 2015 | 18 | 2015 |
| Investigation of different classification models to determine the presence of leukemia in peripheral blood image L Putzu, C Di Ruberto Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013 | 18 | 2013 |
| A feature learning framework for histology images classification C Di Ruberto, L Putzu Emerging Trends in Applications and Infrastructures for Computational …, 2016 | 15 | 2016 |
| Scene-specific crowd counting using synthetic training images R Delussu, L Putzu, G Fumera Pattern Recognition 124, 108484, 2022 | 13 | 2022 |
| Learning by sampling for white blood cells segmentation C Di Ruberto, A Loddo, L Putzu Image Analysis and Processing—ICIAP 2015: 18th International Conference …, 2015 | 13 | 2015 |
| Rotation invariant co-occurrence matrix features L Putzu, C Di Ruberto Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017 | 12 | 2017 |
| On different colour spaces for medical colour image classification C Di Ruberto, G Fodde, L Putzu Computer Analysis of Images and Patterns: 16th International Conference …, 2015 | 12 | 2015 |
| A mobile application for leaf detection in complex background using saliency maps L Putzu, C Di Ruberto, G Fenu Advanced Concepts for Intelligent Vision Systems: 17th International …, 2016 | 11 | 2016 |
| Online domain adaptation for person re-identification with a human in the loop R Delussu, L Putzu, G Fumera, F Roli 2020 25th International Conference on Pattern Recognition (ICPR), 3829-3836, 2021 | 9 | 2021 |
