Cecilia Di Ruberto

93 papers B 4C 2Misc 6Journal 42Unranked 39
YearRankTypeTitle / Venue / Authors
2026 J jnl
OmniRad: A Radiological Foundation Model for Multi-Task Medical Image Analysis.
CoRR
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2025 J jnl
3D-NASE: A Novel 3D CT Nasal Attention-Based Segmentation Ensemble.
J. Imaging
Alessandro Pani, Luca Zedda, Davide Antonio Mura, Andrea Loddo, Cecilia Di Ruberto
2025 J jnl
A Comparative Analysis of Image Descriptors for Histopathological Classification of Gastric Cancer.
CoRR
Marco Usai, Andrea Loddo, Alessandra Perniciano, Maurizio Atzori, Cecilia Di Ruberto
2025 — conf
A SAM-Based Automated Schistocyte Detection Pipeline in Peripheral Blood Smear Images.
ICIAP (2)
Ahmed Bensaid, Lorenzo Putzu, Andrea Loddo, Cecilia Di Ruberto
2025 — conf
A Transformer-Based Framework for OCT Cyst Segmentation.
ICIAP (Workshops 2)
Luca Zedda, Davide Antonio Mura, Andrea Loddo, Cecilia Di Ruberto
2025 J jnl
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario.
Comput. Biol. Medicine
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2025 J jnl
Advancements in radiomics: A comprehensive survey of feature types and their correlation on modalities and regions.
Neurocomputing
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2025 J jnl
CRDet: An Artificial Intelligence-Based Framework for Automated Cheese Ripeness Assessment from Digital Images.
IEEE CAA J. Autom. Sinica
Alessandra Perniciano, Luca Zedda, Cecilia Di Ruberto, Barbara Pes, Andrea Loddo
2025 — conf
Event-GPT: Sequence-Aware Video Event Classification via LoRA-Tuned GPT.
ICIAP (Workshops 2)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2025 J jnl
Exploring Few-Shot Object Detection on Blood Smear Images: A Case Study of Leukocytes and Schistocytes.
CoRR
Davide Antonio Mura, Michela Pinna, Lorenzo Putzu, Andrea Loddo, Alessandra Perniciano, Olga Mulas, Cecilia Di Ruberto
2025 — conf
Exploring the Dataset Landscape for Automated Propaganda Detection: A Data-Centric Insight.
ITADATA
Marco Usai, Davide Antonio Mura, Andrea Loddo, Manuela Sanguinetti, Luca Zedda, Cecilia Di Ruberto, Maurizio Atzori
2025 J jnl
From User Preferences to Optimization Constraints Using Large Language Models.
CoRR
Manuela Sanguinetti, Alessandra Perniciano, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Maurizio Atzori
2025 J jnl
Insights into radiomics: impact of feature selection and classification.
Multim. Tools Appl.
Alessandra Perniciano, Andrea Loddo, Cecilia Di Ruberto, Barbara Pes
2025 J jnl
Is it fake or not? A comprehensive approach for multimodal fake news detection.
Online Soc. Networks Media
Davide Antonio Mura, Marco Usai, Andrea Loddo, Manuela Sanguinetti, Luca Zedda, Cecilia Di Ruberto, Maurizio Atzori
2025 — conf
MORE: A Framework for Stable White Blood Cell Morphological Classification and Report Generation.
ICIAP (2)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2025 J jnl
Radio DINO: A foundation model for advanced radiomics and AI-driven medical imaging analysis.
Comput. Biol. Medicine
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2025 — conf
RedDino: A Foundation Model for Red Blood Cell Analysis.
MICCAI (4)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Carsten Marr
2025 J jnl
RedDino: A foundation model for red blood cell analysis.
CoRR
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Carsten Marr
2025 J jnl
Test-Time Augmentation for Cross-Domain Leukocyte Classification via OOD Filtering and Self-Ensembling.
J. Imaging
Lorenzo Putzu, Andrea Loddo, Cecilia Di Ruberto
2025 J jnl
YOLO-Tryppa: A Novel YOLO-Based Approach for Rapid and Accurate Detection of Small Trypanosoma Parasites.
J. Imaging
Davide Antonio Mura, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2024 — conf
2
WACV (Workshops)
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, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann
2024 J jnl
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites.
Biomed. Signal Process. Control.
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2024 J jnl
An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation.
Inf.
Andrea Loddo, Davide Ghiani, Alessandra Perniciano, Luca Zedda, Barbara Pes, Cecilia Di Ruberto
2024 B conf
Federated Learning for Enhanced Cell Nuclei Segmentation in Histopathological Images.
IEEE Big Data
Marco Usai, Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto
2024 J jnl
Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies.
J. Imaging
Andrea Loddo, Marco Usai, Cecilia Di Ruberto
2024 — conf
MIRIAMS: Models Integration for Reliable Identification and Accurate Multiple Sclerosis Segmentation.
ICPR (Workshops and Challenges, 2)
Alessandro Pani, Andrea Loddo, Lorenzo Putzu, Luca Zedda, Cecilia Di Ruberto
2024 — conf
SAMMI: Segment Anything Model for Malaria Identification.
VISIGRAPP (3): VISAPP
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2024 — conf
Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes.
SemEval@NAACL
Luca Zedda, Alessandra Perniciano, Andrea Loddo, Cecilia Di Ruberto, Manuela Sanguinetti, Maurizio Atzori
2024 — conf
Training and Benchmarking Leukocyte Sub-Types Classification Methods with Synthetic Images.
ECCV Workshops (20)
Luca Zedda, Lorenzo Putzu, Andrea Loddo, Cecilia Di Ruberto
2024 J jnl
Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification.
Knowl. Based Syst.
Luca Zedda, Alessandra Perniciano, Andrea Loddo, Cecilia Di Ruberto
2023 — conf
1
WACV (Workshops)
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, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang
2023 J jnl
An effective and friendly tool for seed image analysis.
Vis. Comput.
Andrea Loddo, Cecilia Di Ruberto, A. M. P. G. Vale, Mariano Ucchesu, J. M. Soares, Gianluigi Bacchetta
2023 — conf
FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking.
ICIAP Workshops (1)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2023 — conf
Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology.
ICIAP (2)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2023 — conf
MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection.
ICIAP Workshops (2)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2023 J jnl
On The Potential of Image Moments for Medical Diagnosis.
J. Imaging
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
2023 J jnl
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024.
CoRR
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, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann
2023 J jnl
YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection.
J. Imaging
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2022 J jnl
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.
CoRR
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, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang
2022 — conf
A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set.
ICIAP (2)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2022 — conf
A Shallow Learning Investigation for COVID-19 Classification.
ICIAP Workshops (1)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
2022 J jnl
An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis.
J. Imaging
Andrea Loddo, Corrado Fadda, Cecilia Di Ruberto
2022 J jnl
Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence.
IEEE Access
Andrea Loddo, Cecilia Di Ruberto, Giuliano Armano, Andrea Manconi
2022 J jnl
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method.
Comput. Biol. Medicine
Andrea Loddo, Sara Buttau, Cecilia Di Ruberto
2021 J jnl
A novel deep learning based approach for seed image classification and retrieval.
Comput. Electron. Agric.
Andrea Loddo, Mauro Loddo, Cecilia Di Ruberto
2021 J jnl
An effective and friendly tool for seed image analysis.
CoRR
Andrea Loddo, Cecilia Di Ruberto, A. M. P. G. Vale, Mariano Ucchesu, J. M. Soares, Gianluigi Bacchetta
2021 — conf
Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval.
CAIP (1)
Lorenzo Putzu, Andrea Loddo, Cecilia Di Ruberto
2021 J jnl
On the Efficacy of Handcrafted and Deep Features for Seed Image Classification.
J. Imaging
Andrea Loddo, Cecilia Di Ruberto
2020 J jnl
A new automatic approach to seed image analysis: From acquisition to segmentation.
CoRR
A. M. P. G. Vale, Mariano Ucchesu, Cecilia Di Ruberto, Andrea Loddo, J. M. Soares, Gianluigi Bacchetta
2020 J jnl
Detection of red and white blood cells from microscopic blood images using a region proposal approach.
Comput. Biol. Medicine
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
2019 — conf
A Region Proposal Approach for Cells Detection and Counting from Microscopic Blood Images.
ICIAP (2)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
2019 C conf
An Open Source Plugin for Image Analysis in Biology.
WETICE
Giorgia Campanile, Cecilia Di Ruberto, Andrea Loddo
2018 J jnl
Fast and accurate computation of orthogonal moments for texture analysis.
CoRR
Cecilia Di Ruberto, Lorenzo Putzu, Giuseppe Rodriguez
2018 J jnl
Fast and accurate computation of orthogonal moments for texture analysis.
Pattern Recognit.
Cecilia Di Ruberto, Lorenzo Putzu, Giuseppe Rodriguez
2018 — conf
MP-IDB: The Malaria Parasite Image Database for Image Processing and Analysis.
SaMBa@MICCAI
Andrea Loddo, Cecilia Di Ruberto, Michel Kocher, Guy Prod'Hom
2018 J jnl
Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology.
Sensors
Andrea Loddo, Cecilia Di Ruberto, Michel Kocher
2018 — conf
White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation.
VISIGRAPP (4: VISAPP)
Simone Porcu, Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto
2017 J jnl
Histogram of Radon transform and texton matrix for texture analysis and classification.
IET Image Process.
Cecilia Di Ruberto
2017 — conf
Histological Image Analysis by Invariant Descriptors.
ICIAP (1)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
2017 — conf
Rotation Invariant Co-occurrence Matrix Features.
ICIAP (1)
Lorenzo Putzu, Cecilia Di Ruberto
2016 — conf
A Computer-Aided System for Differential Count from Peripheral Blood Cell Images.
SITIS
Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto, Gianni Fenu
2016 B conf
A Mobile Application for Leaf Detection in Complex Background Using Saliency Maps.
ACIVS
Lorenzo Putzu, Cecilia Di Ruberto, Gianni Fenu
2016 J jnl
A leucocytes count system from blood smear images - Segmentation and counting of white blood cells based on learning by sampling.
Mach. Vis. Appl.
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
2015 — conf
A Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation.
CAIP (2)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
2015 C conf
Comparison of Statistical Features for Medical Colour Image Classification.
ICVS
Cecilia Di Ruberto, Giuseppe Fodde, Lorenzo Putzu
2015 — conf
Learning by Sampling for White Blood Cells Segmentation.
ICIAP (1)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
2015 — conf
On Different Colour Spaces for Medical Colour Image Classification.
CAIP (1)
Cecilia Di Ruberto, Giuseppe Fodde, Lorenzo Putzu
2014 — conf
A Fast Leaf Recognition Algorithm based on SVM Classifier and High Dimensional Feature Vector.
VISAPP (1)
Cecilia Di Ruberto, Lorenzo Putzu
2014 — conf
Accurate Blood Cells Segmentation through Intuitionistic Fuzzy Set Threshold.
SITIS
Cecilia Di Ruberto, Lorenzo Putzu
2014 J jnl
Leucocyte classification for leukaemia detection using image processing techniques.
Artif. Intell. Medicine
Lorenzo Putzu, Giovanni Caocci, Cecilia Di Ruberto
2014 — conf
Statistical Features for Image Retrieval - A Quantitative Comparison.
VISAPP (1)
Cecilia Di Ruberto, Giuseppe Fodde
2013 — conf
Evaluation of Statistical Features for Medical Image Retrieval.
ICIAP (1)
Cecilia Di Ruberto, Giuseppe Fodde
2013 — conf
Investigation of Different Classification Models to Determine the Presence of Leukemia in Peripheral Blood Image.
ICIAP (1)
Lorenzo Putzu, Cecilia Di Ruberto
2013 — conf
White Blood Cells Identication and Classication from Leukemic Blood Image.
IWBBIO
Lorenzo Putzu, Cecilia Di Ruberto
2010 Misc conf
Dominant Points Detection on Digital Curves: A Comparison Between Optimal and Exact Approaches.
IC-AI
Cecilia Di Ruberto, Andrea Morgera
2009 Misc conf
A New Algorithm for Polygonal Approximation Based on Ant Colony Optimization.
ICIAP
Cecilia Di Ruberto, Andrea Morgera
2009 J jnl
Decomposition of two-dimensional shapes for efficient retrieval.
Image Vis. Comput.
Cecilia Di Ruberto, Luigi Cinque
2008 — conf
Moment-Based Techniques for Image Retrieval.
DEXA Workshops
Cecilia Di Ruberto, Andrea Morgera
2005 Misc conf
A Comparison of 2-D Moment-Based Description Techniques.
ICIAP
Cecilia Di Ruberto, Andrea Morgera
2004 J jnl
Recognition of shapes by attributed skeletal graphs.
Pattern Recognit.
Cecilia Di Ruberto
2003 Misc conf
Attributed skeletal graphs for shape modelling and matching.
ICIAP
Cecilia Di Ruberto
2002 J jnl
Analysis of infected blood cell images using morphological operators.
Image Vis. Comput.
Cecilia Di Ruberto, Andrew G. Dempster, Shahid Khan, Bill Jarra
2001 — conf
Morphological Image Processing for Evaluating Malaria Disease.
IWVF
Cecilia Di Ruberto, Andrew G. Dempster, Shahid Khan, Bill Jarra
2001 — conf
Using granulometries in processing images of malarial blood.
ISCAS (5)
Andrew G. Dempster, Cecilia Di Ruberto
2000 B conf
Automatic Thresholding of Infected Blood Images Using Granulometry and Regional Extrema.
ICPR
Cecilia Di Ruberto, Andrew G. Dempster, Shahid Khan, Bill Jarra
2000 B conf
Segmentation of Blood Images Using Morphological Operators.
ICPR
Cecilia Di Ruberto, Andrew G. Dempster, Shahid Khan, Bill Jarra
1999 Misc conf
Image Segmentation by Texture Analysis.
ICIAP
Cecilia Di Ruberto, Sergio Vitulano, Giuseppe Rodriguez
1998 J jnl
Edge Detection: Local and Global Operators.
Int. J. Pattern Recognit. Artif. Intell.
Sergio Vitulano, Michele Nappi, Cecilia Di Ruberto
1997 J jnl
Different methods to segment biomedical images.
Pattern Recognit. Lett.
Sergio Vitulano, Cecilia Di Ruberto, Michele Nappi
1997 — conf
Image Segmentation by Means of Fuzzy Entropy Measure.
ICIAP (1)
Cecilia Di Ruberto, Michele Nappi, Sergio Vitulano
1996 — conf
Biomedical image processing [human perception modeling].
ICECS
Sergio Vitulano, Cecilia Di Ruberto, Michele Nappi
1995 Misc conf
A.I. Based Image Segmentation.
ICIAP
Sergio Vitulano, Cecilia Di Ruberto, Michele Nappi
1995 — conf
Computer Aided Diagnosis in Radiology.
ICSC
Sergio Vitulano, Cecilia Di Ruberto, Michele Nappi