A Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation. - Cecilia Di Ruberto; Andrea Loddo; Lorenzo Putzu (CAIP (2), 2015)

Learning by Sampling for White Blood Cells Segmentation. - Cecilia Di Ruberto; Andrea Loddo; Lorenzo Putzu (ICIAP (1), 2015)

A Computer-Aided System for Differential Count from Peripheral Blood Cell Images. - Andrea Loddo; Lorenzo Putzu; Cecilia Di Ruberto; Gianni Fenu (SITIS, 2016)

A leucocytes count system from blood smear images - Segmentation and counting of white blood cells based on learning by sampling. - Cecilia Di Ruberto; Andrea Loddo; Lorenzo Putzu (Mach. Vis. Appl., 2016)

Histological Image Analysis by Invariant Descriptors. - Cecilia Di Ruberto; Andrea Loddo; Lorenzo Putzu (ICIAP (1), 2017)

MP-IDB: The Malaria Parasite Image Database for Image Processing and Analysis. - Andrea Loddo; Cecilia Di Ruberto; Michel Kocher; Guy Prod'Hom (SaMBa@MICCAI, 2018)

White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation. - Simone Porcu; Andrea Loddo; Lorenzo Putzu; Cecilia Di Ruberto (VISIGRAPP (4: VISAPP), 2018)

Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology. - Andrea Loddo; Cecilia Di Ruberto; Michel Kocher (Sensors, 2018)

A Region Proposal Approach for Cells Detection and Counting from Microscopic Blood Images. - Cecilia Di Ruberto; Andrea Loddo; Lorenzo Putzu (ICIAP (2), 2019)

An Open Source Plugin for Image Analysis in Biology. - Giorgia Campanile; Cecilia Di Ruberto; Andrea Loddo (WETICE, 2019)

Detection of red and white blood cells from microscopic blood images using a region proposal approach. - Cecilia Di Ruberto; Andrea Loddo; Lorenzo Putzu (Comput. Biol. Medicine, 2020)

A new automatic approach to seed image analysis: From acquisition to segmentation. - A. M. P. G. Vale; Mariano Ucchesu; Cecilia Di Ruberto; Andrea Loddo; J. M. Soares; Gianluigi Bacchetta (CoRR, 2020)

How Realistic Should Synthetic Images Be for Training Crowd Counting Models? - Emanuele Ledda; Lorenzo Putzu; Rita Delussu; Andrea Loddo; Giorgio Fumera (CAIP (2), 2021)

Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval. - Lorenzo Putzu; Andrea Loddo; Cecilia Di Ruberto (CAIP (1), 2021)

Feature Selection in Mobile Activity Recognition: A Comparative Study. - Andrea Loddo; Barbara Pes; Daniele Riboni (MDM, 2021)

Cryptocurrency Scams: Analysis and Perspectives. - Massimo Bartoletti; Stefano Lande; Andrea Loddo; Livio Pompianu; Sergio Serusi (IEEE Access, 2021)

A novel deep learning based approach for seed image classification and retrieval. - Andrea Loddo; Mauro Loddo; Cecilia Di Ruberto (Comput. Electron. Agric., 2021)

On the Efficacy of Handcrafted and Deep Features for Seed Image Classification. - Andrea Loddo; Cecilia Di Ruberto (J. Imaging, 2021)

A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (ICIAP (2), 2022)

A Shallow Learning Investigation for COVID-19 Classification. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (ICIAP Workshops (1), 2022)

A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home. - Samaneh Zolfaghari; Andrea Loddo; Barbara Pes; Daniele Riboni (MDM, 2022)

Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis. - Andrea Loddo; Giacomo Meloni; Barbara Pes (IEEE Access, 2022)

Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence. - Andrea Loddo; Cecilia Di Ruberto; Giuliano Armano; Andrea Manconi (IEEE Access, 2022)

Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method. - Andrea Loddo; Sara Buttau; Cecilia Di Ruberto (Comput. Biol. Medicine, 2022)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (CoRR, 2022)

An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis. - Andrea Loddo; Corrado Fadda; Cecilia Di Ruberto (J. Imaging, 2022)

TECD: A Transformer Encoder Convolutional Decoder for High-Dimensional Biomedical Data. - Luca Zedda; Alessandra Perniciano; Andrea Loddo; Barbara Pes (ICCSA (Workshops 1), 2023)

Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario. - Lorenzo Putzu; Andrea Loddo (ICIAP Workshops (2), 2023)

Specialise to Generalise: The Person Re-identification Case. - Lorenzo Putzu; Andrea Loddo; Rita Delussu; Giorgio Fumera (ICIAP (2), 2023)

Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (ICIAP (2), 2023)

FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (ICIAP Workshops (1), 2023)

MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (ICIAP Workshops (2), 2023)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (WACV (Workshops), 2023)

The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024. - Benjamin Kiefer; Lojze Zust; Matej Kristan; Janez Pers; Matija Tersek; Arnold Wiliem; Martin Messmer; Cheng-Yen Yang; Hsiang-Wei Huang; Zhongyu Jiang; Heng-Cheng Kuo; Jie Mei 003; et al. (CoRR, 2023)

On The Potential of Image Moments for Medical Diagnosis. - Cecilia Di Ruberto; Andrea Loddo; Lorenzo Putzu (J. Imaging, 2023)

YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (J. Imaging, 2023)

An effective and friendly tool for seed image analysis. - Andrea Loddo; Cecilia Di Ruberto; A. M. P. G. Vale; Mariano Ucchesu; J. M. Soares; Gianluigi Bacchetta (Vis. Comput., 2023)

Federated Learning for Enhanced Cell Nuclei Segmentation in Histopathological Images. - Marco Usai; Andrea Loddo; Lorenzo Putzu; Cecilia Di Ruberto (IEEE Big Data, 2024)

Assessing Italian Large Language Models on Energy Feedback Generation: A Human Evaluation Study. - Manuela Sanguinetti; Alessandro Pani; Alessandra Perniciano; Luca Zedda; Andrea Loddo; Maurizio Atzori (CLiC-it, 2024)

Training and Benchmarking Leukocyte Sub-Types Classification Methods with Synthetic Images. - Luca Zedda; Lorenzo Putzu; Andrea Loddo; Cecilia Di Ruberto (ECCV Workshops (20), 2024)

MIRIAMS: Models Integration for Reliable Identification and Accurate Multiple Sclerosis Segmentation. - Alessandro Pani; Andrea Loddo; Lorenzo Putzu; Luca Zedda; Cecilia Di Ruberto (ICPR (Workshops and Challenges, 2), 2024)

Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes. - Luca Zedda; Alessandra Perniciano; Andrea Loddo; Cecilia Di Ruberto; Manuela Sanguinetti; Maurizio Atzori (SemEval@NAACL, 2024)

SAMMI: Segment Anything Model for Malaria Identification. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (VISIGRAPP (3): VISAPP, 2024)

2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. - Benjamin Kiefer; Lojze Zust; Matej Kristan; Janez Pers; Matija Tersek; Arnold Wiliem; Martin Messmer; Cheng-Yen Yang; Hsiang-Wei Huang; Zhongyu Jiang; Heng-Cheng Kuo; Jie Mei 003; et al. (WACV (Workshops), 2024)

A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (Biomed. Signal Process. Control., 2024)

Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification. - Luca Zedda; Alessandra Perniciano; Andrea Loddo; Cecilia Di Ruberto (Knowl. Based Syst., 2024)

An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation. - Andrea Loddo; Davide Ghiani; Alessandra Perniciano; Luca Zedda; Barbara Pes; Cecilia Di Ruberto (Inf., 2024)

Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies. - Andrea Loddo; Marco Usai; Cecilia Di Ruberto (J. Imaging, 2024)

A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (Comput. Biol. Medicine, 2025)

Radio DINO: A foundation model for advanced radiomics and AI-driven medical imaging analysis. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (Comput. Biol. Medicine, 2025)

Advancements in radiomics: A comprehensive survey of feature types and their correlation on modalities and regions. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (Neurocomputing, 2025)

Distributed collaborative machine learning in real-world application scenario: A white blood cell subtypes classification case study. - Lorenzo Putzu; Simone Porcu; Andrea Loddo (Image Vis. Comput., 2025)

Is it fake or not? A comprehensive approach for multimodal fake news detection. - Davide Antonio Mura; Marco Usai; Andrea Loddo; Manuela Sanguinetti; Luca Zedda; Cecilia Di Ruberto; Maurizio Atzori (Online Soc. Networks Media, 2025)

A Comparative Analysis of Image Descriptors for Histopathological Classification of Gastric Cancer. - Marco Usai; Andrea Loddo; Alessandra Perniciano; Maurizio Atzori; Cecilia Di Ruberto (CoRR, 2025)

Exploring Few-Shot Object Detection on Blood Smear Images: A Case Study of Leukocytes and Schistocytes. - Davide Antonio Mura; Michela Pinna; Lorenzo Putzu; Andrea Loddo; Alessandra Perniciano; Olga Mulas; Cecilia Di Ruberto (CoRR, 2025)

From User Preferences to Optimization Constraints Using Large Language Models. - Manuela Sanguinetti; Alessandra Perniciano; Luca Zedda; Andrea Loddo; Cecilia Di Ruberto; Maurizio Atzori (CoRR, 2025)

Insights into radiomics: impact of feature selection and classification. - Alessandra Perniciano; Andrea Loddo; Cecilia Di Ruberto; Barbara Pes (Multim. Tools Appl., 2025)