A.I. Based Image Segmentation. - Sergio Vitulano; Cecilia Di Ruberto; Michele Nappi (ICIAP, 1995)

Computer Aided Diagnosis in Radiology. - Sergio Vitulano; Cecilia Di Ruberto; Michele Nappi (ICSC, 1995)

Biomedical image processing [human perception modeling]. - Sergio Vitulano; Cecilia Di Ruberto; Michele Nappi (ICECS, 1996)

Image Segmentation by Means of Fuzzy Entropy Measure. - Cecilia Di Ruberto; Michele Nappi; Sergio Vitulano (ICIAP (1), 1997)

Different methods to segment biomedical images. - Sergio Vitulano; Cecilia Di Ruberto; Michele Nappi (Pattern Recognit. Lett., 1997)

Edge Detection: Local and Global Operators. - Sergio Vitulano; Michele Nappi; Cecilia Di Ruberto (Int. J. Pattern Recognit. Artif. Intell., 1998)

Image Segmentation by Texture Analysis. - Cecilia Di Ruberto; Sergio Vitulano; Giuseppe Rodriguez (ICIAP, 1999)

Segmentation of Blood Images Using Morphological Operators. - Cecilia Di Ruberto; Andrew G. Dempster; Shahid Khan 003; Bill Jarra (ICPR, 2000)

Automatic Thresholding of Infected Blood Images Using Granulometry and Regional Extrema. - Cecilia Di Ruberto; Andrew G. Dempster; Shahid Khan 003; Bill Jarra (ICPR, 2000)

Using granulometries in processing images of malarial blood. - Andrew G. Dempster; Cecilia Di Ruberto (ISCAS (5), 2001)

Morphological Image Processing for Evaluating Malaria Disease. - Cecilia Di Ruberto; Andrew G. Dempster; Shahid Khan 003; Bill Jarra (IWVF, 2001)

Analysis of infected blood cell images using morphological operators. - Cecilia Di Ruberto; Andrew G. Dempster; Shahid Khan 003; Bill Jarra (Image Vis. Comput., 2002)

Attributed skeletal graphs for shape modelling and matching. - Cecilia Di Ruberto (ICIAP, 2003)

Recognition of shapes by attributed skeletal graphs. - Cecilia Di Ruberto (Pattern Recognit., 2004)

A Comparison of 2-D Moment-Based Description Techniques. - Cecilia Di Ruberto; Andrea Morgera (ICIAP, 2005)

Moment-Based Techniques for Image Retrieval. - Cecilia Di Ruberto; Andrea Morgera (DEXA Workshops, 2008)

A New Algorithm for Polygonal Approximation Based on Ant Colony Optimization. - Cecilia Di Ruberto; Andrea Morgera (ICIAP, 2009)

Decomposition of two-dimensional shapes for efficient retrieval. - Cecilia Di Ruberto; Luigi Cinque (Image Vis. Comput., 2009)

Dominant Points Detection on Digital Curves: A Comparison Between Optimal and Exact Approaches. - Cecilia Di Ruberto; Andrea Morgera (IC-AI, 2010)

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

Evaluation of Statistical Features for Medical Image Retrieval. - Cecilia Di Ruberto; Giuseppe Fodde (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)

Statistical Features for Image Retrieval - A Quantitative Comparison. - Cecilia Di Ruberto; Giuseppe Fodde (VISAPP (1), 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)

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)

Histogram of Radon transform and texton matrix for texture analysis and classification. - Cecilia Di Ruberto (IET Image Process., 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)

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

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

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)

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)

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)

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)