Università degli Studi di Cagliari
Andrea Loddo
An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis
2022-01-01 Loddo, A.; Fadda, C.; Di Ruberto, C.
A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home
2022-01-01 Zolfaghari, S.; Loddo, A.; Pes, B.; Riboni, D.
A Shallow Learning Investigation for COVID-19 Classification
2022-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
An effective and friendly tool for seed image analysis
2022-01-01 Loddo, A.; Di Ruberto, C.; Vale, A. M. P. G.; Ucchesu, M.; Soares, J. M.; Bacchetta, G.
Special Issue on Image Processing Techniques for Biomedical Applications
2022-01-01 Di Ruberto, C.; Loddo, A.; Putzu, L.
A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set
2022-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis
2022-01-01 Loddo, A.; Meloni, G.; Pes, B.
On the Reliability of CNNs in Clinical Practice: A Computer-Aided Diagnosis System Case Study
2022-01-01 Loddo, Andrea; Putzu, Lorenzo
Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence
2022-01-01 Loddo, A.; Di Ruberto, C.; Armano, G.; Manconi, A.
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method
2022-01-01 Loddo, A.; Buttau, S.; Di Ruberto, C.
On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario
2021-01-01 Loddo, Andrea; Putzu, Lorenzo
Deep learning for covid-19 diagnosis from CT images
2021-01-01 Loddo, A.; Pili, F.; Di Ruberto, C.
Feature Selection in Mobile Activity Recognition: A Comparative Study
2021-01-01 Loddo, A.; Pes, B.; Riboni, D.
On the efficacy of handcrafted and deep features for seed image classification
2021-01-01 Loddo, A.; Di Ruberto, C.
Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval
2021-01-01 Putzu, L.; Loddo, A.; Ruberto, C. D.
Cryptocurrency scams: analysis and perspectives
2021-01-01 Bartoletti, M.; Lande, S.; Loddo, A.; Pompianu, L.; Serusi, S.
How Realistic Should Synthetic Images Be for Training Crowd Counting Models?
2021-01-01 Ledda, E.; Putzu, L.; Delussu, R.; Loddo, A.; Fumera, G.
A novel deep learning based approach for seed image classification and retrieval
2021-01-01 Loddo, Andrea; Loddo, Mauro; Di Ruberto, Cecilia
Detection of red and white blood cells from microscopic blood images using a region proposal approach
2020-01-01 Di Ruberto, C.; Loddo, A.; Putzu, L.
Blob detection and deep learning for leukemic blood image analysis
2020-01-01 Di Ruberto, C.; Loddo, A.; Puglisi, G.
Microscopic Blood Images Analysis by Computer Vision Techniques
2019-02-27
An Open Source Plugin for Image Analysis in Biology
2019-01-01 Campanile, Giorgia; Di Ruberto, C.; Loddo, A.
MP-IDB: The Malaria Parasite image database for image processing and analysis
2019-01-01 DI RUBERTO, Cecilia; Loddo, Andrea; Michel, Kocher; Guy, Prod’Hom
A region proposal approach for cells detection and counting from microscopic blood images
2019-01-01 Di Ruberto, C.; Loddo, A.; Putzu, L.
Recent advances of malaria parasites detection systems based on mathematical morphology
2018-01-01 Loddo, Andrea; Di Ruberto, Cecilia; Kocher, Michel
White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation
2018-01-01 Porcu, Simone; Loddo, Andrea; Putzu, Lorenzo; DI RUBERTO, Cecilia
A computer-aided system for differential count from peripheral blood cell images
2017-01-01 Loddo, Andrea; Putzu, Lorenzo; DI RUBERTO, Cecilia; Fenu, Gianni
Histological image analysis by invariant descriptors
2017-01-01 DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo
A Leukocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling
2016-01-01 DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo
Peripheral blood image analysis
2016-01-01 Loddo, Andrea; DI RUBERTO, Cecilia; Putzu, Lorenzo
A multiple classifier learning by sampling system for white blood cells segmentation
2015-01-01 DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo
Learning by sampling for white blood cells segmentation
2015-01-01 DI RUBERTO, Cecilia; Loddo, A.; Putzu, Lorenzo
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