| 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 | 106 | 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 | 93 | 2021 |
| Cryptocurrency scams: analysis and perspectives M Bartoletti, S Lande, A Loddo, L Pompianu, S Serusi Ieee Access 9, 148353-148373, 2021 | 88 | 2021 |
| Recent advances of malaria parasites detection systems based on mathematical morphology A Loddo, C Di Ruberto, M Kocher Sensors 18 (2), 513, 2018 | 80 | 2018 |
| 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 | 65 | 2020 |
| Blob detection and deep learning for leukemic blood image analysis C Di Ruberto, A Loddo, G Puglisi Applied Sciences 10 (3), 1176, 2020 | 58 | 2020 |
| 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 | 48 | 2019 |
| 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 |
| An empirical evaluation of convolutional networks for malaria diagnosis A Loddo, C Fadda, C Di Ruberto Journal of Imaging 8 (3), 66, 2022 | 26 | 2022 |
| Deep learning for covid-19 diagnosis from ct images A Loddo, F Pili, C Di Ruberto Applied Sciences 11 (17), 8227, 2021 | 25 | 2021 |
| 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 | 24 | 2016 |
| 1st workshop on maritime computer vision (macvi) 2023: Challenge results B Kiefer, M Kristan, J Perš, L Žust, F Poiesi, F Andrade, A Bernardino, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 23 | 2023 |
| An effective and friendly tool for seed image analysis A Loddo, C Di Ruberto, A Vale, M Ucchesu, JM Soares, G Bacchetta The Visual Computer 39 (1), 335-352, 2023 | 23 | 2023 |
| 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 | 21 | 2015 |
| A deep learning based framework for malaria diagnosis on high variation data set L Zedda, A Loddo, C Di Ruberto International Conference on Image Analysis and Processing, 358-370, 2022 | 14 | 2022 |
| On the effectiveness of leukocytes classification methods in a real application scenario A Loddo, L Putzu Ai 2 (3), 394-412, 2021 | 14 | 2021 |
| 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 | 14 | 2015 |
| On the efficacy of handcrafted and deep features for seed image classification A Loddo, C Di Ruberto Journal of Imaging 7 (9), 171, 2021 | 13 | 2021 |
| A leucocytes count system from blood smear images. C Ruberto, A Loddo, L Putzu Machine Vision & Applications 27 (8), 2016 | 11 | 2016 |
| Invariant moments, textural and deep features for diagnostic MR and CT image retrieval L Putzu, A Loddo, CD Ruberto International Conference on Computer Analysis of Images and Patterns, 287-297, 2021 | 10 | 2021 |
Cecilia Di RubertoUniversity of CagliariVerified email at unica.it
