Loddo, A.[Andrea]
* 2015: Learning by Sampling for White Blood Cells Segmentation
* 2015: Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation, A
* 2016: leucocytes count system from blood smear images, A
* 2017: Histological Image Analysis by Invariant Descriptors
* 2019: Region Proposal Approach for Cells Detection and Counting from Microscopic Blood Images, A
* 2021: How Realistic Should Synthetic Images Be for Training Crowd Counting Models?
* 2021: Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval
* 2022: Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set, A
* 2022: On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models
* 2022: Shallow Learning Investigation for COVID-19 Classification, A
* 2023: 1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
* 2023: Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology
* 2023: Specialise to Generalise: The Person Re-identification Case
* 2024: 2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results
14 for Loddo, A.
Loddo, P.
* 2020: ESA Sentinel 2 Imagery and Gbgeoapp: Integrated Tools for the Deosai National Park Management Plan