Investigation of Different Classification Models to Determine the Presence of Leukemia in Peripheral Blood Image. - Lorenzo Putzu; Cecilia Di Ruberto (ICIAP (1), 2013)

White Blood Cells Identication and Classication from Leukemic Blood Image. - Lorenzo Putzu; Cecilia Di Ruberto (IWBBIO, 2013)

Accurate Blood Cells Segmentation through Intuitionistic Fuzzy Set Threshold. - Cecilia Di Ruberto; Lorenzo Putzu (SITIS, 2014)

A Fast Leaf Recognition Algorithm based on SVM Classifier and High Dimensional Feature Vector. - Cecilia Di Ruberto; Lorenzo Putzu (VISAPP (1), 2014)

Leucocyte classification for leukaemia detection using image processing techniques. - Lorenzo Putzu; Giovanni Caocci; Cecilia Di Ruberto (Artif. Intell. Medicine, 2014)

On Different Colour Spaces for Medical Colour Image Classification. - Cecilia Di Ruberto; Giuseppe Fodde; Lorenzo Putzu (CAIP (1), 2015)

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)

Comparison of Statistical Features for Medical Colour Image Classification. - Cecilia Di Ruberto; Giuseppe Fodde; Lorenzo Putzu (ICVS, 2015)

A Mobile Application for Leaf Detection in Complex Background Using Saliency Maps. - Lorenzo Putzu; Cecilia Di Ruberto; Gianni Fenu (ACIVS, 2016)

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)

Computer aided diagnosis algorithms for digital microscopy. - Lorenzo Putzu (2016)

Rotation Invariant Co-occurrence Matrix Features. - Lorenzo Putzu; Cecilia Di Ruberto (ICIAP (1), 2017)

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

Ten Years of Relevance Score for Content Based Image Retrieval. - Lorenzo Putzu; Luca Piras 001; Giorgio Giacinto (MLDM (2), 2018)

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

Fast and accurate computation of orthogonal moments for texture analysis. - Cecilia Di Ruberto; Lorenzo Putzu; Giuseppe Rodriguez (Pattern Recognit., 2018)

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

Online Domain Adaptation for Person Re-Identification with a Human in the Loop. - Rita Delussu; Lorenzo Putzu; Giorgio Fumera; Fabio Roli (ICPR, 2020)

Investigating Synthetic Data Sets for Crowd Counting in Cross-scene Scenarios. - Rita Delussu; Lorenzo Putzu; Giorgio Fumera (VISIGRAPP (4: VISAPP), 2020)

An Empirical Evaluation of Cross-scene Crowd Counting Performance. - Rita Delussu; Lorenzo Putzu; Giorgio Fumera (VISIGRAPP (4: VISAPP), 2020)

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)

Convolutional neural networks for relevance feedback in content based image retrieval. - Lorenzo Putzu; Luca Piras 001; Giorgio Giacinto (Multim. Tools Appl., 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)

Automatic Myelofibrosis Grading from Silver-Stained Images. - Lorenzo Putzu; Maxim Untesco; Giorgio Fumera (CAIP (1), 2021)

On the Evaluation of Video-Based Crowd Counting Models. - Emanuele Ledda; Lorenzo Putzu; Rita Delussu; Giorgio Fumera; Fabio Roli (ICIAP (3), 2022)

On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models. - Rita Delussu; Lorenzo Putzu; Giorgio Fumera (ICPR, 2022)

Scene-specific crowd counting using synthetic training images. - Rita Delussu; Lorenzo Putzu; Giorgio Fumera (Pattern Recognit., 2022)

Human-in-the-Loop Person Re-Identification as a Defence Against Adversarial Attacks. - Rita Delussu; Lorenzo Putzu; Emanuele Ledda; Giorgio Fumera (ICIAP Workshops (1), 2023)

BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting. - Emanuele Ledda; Rita Delussu; Lorenzo Putzu; Giorgio Fumera; Fabio Roli (ICIAP (2), 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)

Trustworthy AI in Video Surveillance: The IMMAGINA Project. - Emanuele Ledda; Lorenzo Putzu; Rita Delussu; Giorgio Fumera; Fabio Roli (Ital-IA, 2023)

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

Human-in-the-loop cross-domain person re-identification. - Rita Delussu; Lorenzo Putzu; Giorgio Fumera (Expert Syst. Appl., 2023)

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

Guidelines for Query and Gallery Image Extraction in Person Re-identification Systems. - Rita Delussu; Lorenzo Putzu; Giorgio Fumera (ECCV Workshops (13), 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)

Synthetic Data for Video Surveillance Applications of Computer Vision: A Review. - Rita Delussu; Lorenzo Putzu; Giorgio Fumera (Int. J. Comput. Vis., 2024)

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)