LODDO, ANDREA

LODDO, ANDREA  

DIPARTIMENTO DI MATEMATICA ED INFORMATICA  

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Titolo Data di pubblicazione Autore(i) Rivista Editore
Blob detection and deep learning for leukemic blood image analysis 1-gen-2020 Di Ruberto, C.; Loddo, A.; Puglisi, G. APPLIED SCIENCES -
A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home 1-gen-2022 Zolfaghari, S.; Loddo, A.; Pes, B.; Riboni, D. - -
A computer-aided system for differential count from peripheral blood cell images 1-gen-2017 Loddo, Andrea; Putzu, Lorenzo; DI RUBERTO, Cecilia; Fenu, Gianni - Institute of Electrical and Electronics Engineers (IEEE)
Cryptocurrency scams: analysis and perspectives 1-gen-2021 Bartoletti, M.; Lande, S.; Loddo, A.; Pompianu, L.; Serusi, S. IEEE ACCESS -
A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set 1-gen-2022 Zedda, L.; Loddo, A.; Di Ruberto, C. - Springer Science and Business Media Deutschland GmbH
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method 1-gen-2022 Loddo, A.; Buttau, S.; Di Ruberto, C. COMPUTERS IN BIOLOGY AND MEDICINE -
Deep learning for covid-19 diagnosis from CT images 1-gen-2021 Loddo, A.; Pili, F.; Di Ruberto, C. APPLIED SCIENCES -
Detection of red and white blood cells from microscopic blood images using a region proposal approach 1-gen-2020 Di Ruberto, C.; Loddo, A.; Putzu, L. COMPUTERS IN BIOLOGY AND MEDICINE -
An effective and friendly tool for seed image analysis 1-gen-2022 Loddo, A.; Di Ruberto, C.; Vale, A. M. P. G.; Ucchesu, M.; Soares, J. M.; Bacchetta, G. THE VISUAL COMPUTER -
An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis 1-gen-2022 Loddo, A.; Fadda, C.; Di Ruberto, C. JOURNAL OF IMAGING -
Feature Selection in Mobile Activity Recognition: A Comparative Study 1-gen-2021 Loddo, A.; Pes, B.; Riboni, D. - Institute of Electrical and Electronics Engineers Inc.
Histological image analysis by invariant descriptors 1-gen-2017 DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo - Springer
How Realistic Should Synthetic Images Be for Training Crowd Counting Models? 1-gen-2021 Ledda, E.; Putzu, L.; Delussu, R.; Loddo, A.; Fumera, G. - -
Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval 1-gen-2021 Putzu, L.; Loddo, A.; Ruberto, C. D. - Springer Science and Business Media Deutschland GmbH
Learning by sampling for white blood cells segmentation 1-gen-2015 DI RUBERTO, Cecilia; Loddo, A.; Putzu, Lorenzo LECTURE NOTES IN COMPUTER SCIENCE Springer
A Leukocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling 1-gen-2016 DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo MACHINE VISION AND APPLICATIONS -
Microscopic Blood Images Analysis by Computer Vision Techniques 27-feb-2019 - - Università degli Studi di Cagliari
MP-IDB: The Malaria Parasite image database for image processing and analysis 1-gen-2019 DI RUBERTO, Cecilia; Loddo, Andrea; Michel, Kocher; Guy, Prod’Hom - Springer
A multiple classifier learning by sampling system for white blood cells segmentation 1-gen-2015 DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo LECTURE NOTES IN COMPUTER SCIENCE -
A novel deep learning based approach for seed image classification and retrieval 1-gen-2021 Loddo, Andrea; Loddo, Mauro; Di Ruberto, Cecilia COMPUTERS AND ELECTRONICS IN AGRICULTURE -