Cecilia Di Ruberto

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 42

Top Topics

Orthogonal Moments

Image Classification

Top Venues

Publications

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites. Biomed. Signal Process. Control. 94 (2024)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
SAMMI: Segment Anything Model for Malaria Identification. VISIGRAPP (3): VISAPP (2024)
Andrea Loddo, Davide Ghiani, Alessandra Perniciano, Luca Zedda, Barbara Pes, Cecilia Di Ruberto
An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation. Inf. 15 (6) (2024)
Luca Zedda, Alessandra Perniciano, Andrea Loddo, Cecilia Di Ruberto
Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification. Knowl. Based Syst. 295 (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, 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
Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. WACV (Workshops) (2024)
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, Zheng Ziqiang, 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
Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) (2023)
Andrea Loddo, Cecilia Di Ruberto, A. M. P. G. Vale, Mariano Ucchesu, J. M. Soares, Gianluigi Bacchetta
An effective and friendly tool for seed image analysis. Vis. Comput. 39 (1) (2023)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
On The Potential of Image Moments for Medical Diagnosis. J. Imaging 9 (3) (2023)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection. ICIAP Workshops (2) (2023)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking. ICIAP Workshops (1) (2023)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection. J. Imaging 9 (12) (2023)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology. ICIAP (2) (2023)
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
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024. CoRR (2023)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set. ICIAP (2) (2022)
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, Zheng Ziqiang, 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
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. CoRR (2022)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
A Shallow Learning Investigation for COVID-19 Classification. ICIAP Workshops (1) (2022)
Andrea Loddo, Cecilia Di Ruberto, Giuliano Armano, Andrea Manconi
Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence. IEEE Access 10 (2022)
Andrea Loddo, Corrado Fadda, Cecilia Di Ruberto
An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis. J. Imaging 8 (3) (2022)
Andrea Loddo, Sara Buttau, Cecilia Di Ruberto
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method. Comput. Biol. Medicine 141 (2022)
Andrea Loddo, Cecilia Di Ruberto
On the Efficacy of Handcrafted and Deep Features for Seed Image Classification. J. Imaging 7 (9) (2021)
Lorenzo Putzu, Andrea Loddo, Cecilia Di Ruberto
Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval. CAIP (1) (2021)
Andrea Loddo, Mauro Loddo, Cecilia Di Ruberto
A novel deep learning based approach for seed image classification and retrieval. Comput. Electron. Agric. 187 (2021)
Andrea Loddo, Cecilia Di Ruberto, A. M. P. G. Vale, Mariano Ucchesu, J. M. Soares, Gianluigi Bacchetta
An effective and friendly tool for seed image analysis. CoRR (2021)
A. M. P. G. Vale, Mariano Ucchesu, Cecilia Di Ruberto, Andrea Loddo, J. M. Soares, Gianluigi Bacchetta
A new automatic approach to seed image analysis: From acquisition to segmentation. CoRR (2020)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
Detection of red and white blood cells from microscopic blood images using a region proposal approach. Comput. Biol. Medicine 116 (2020)
Giorgia Campanile, Cecilia Di Ruberto, Andrea Loddo
An Open Source Plugin for Image Analysis in Biology. WETICE (2019)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
A Region Proposal Approach for Cells Detection and Counting from Microscopic Blood Images. ICIAP (2) (2019)
Cecilia Di Ruberto, Lorenzo Putzu, Giuseppe Rodriguez
Fast and accurate computation of orthogonal moments for texture analysis. Pattern Recognit. 83 (2018)
Cecilia Di Ruberto, Lorenzo Putzu, Giuseppe Rodriguez
Fast and accurate computation of orthogonal moments for texture analysis. CoRR (2018)
Andrea Loddo, Cecilia Di Ruberto, Michel Kocher, Guy Prod'Hom
MP-IDB: The Malaria Parasite Image Database for Image Processing and Analysis. SaMBa@MICCAI (2018)
Andrea Loddo, Cecilia Di Ruberto, Michel Kocher
Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology. Sensors 18 (2) (2018)
Simone Porcu, Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto
White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation. VISIGRAPP (4: VISAPP) (2018)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
Histological Image Analysis by Invariant Descriptors. ICIAP (1) (2017)
Cecilia Di Ruberto
Histogram of Radon transform and texton matrix for texture analysis and classification. IET Image Process. 11 (9) (2017)
Lorenzo Putzu, Cecilia Di Ruberto
Rotation Invariant Co-occurrence Matrix Features. ICIAP (1) (2017)
Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto, Gianni Fenu
A Computer-Aided System for Differential Count from Peripheral Blood Cell Images. SITIS (2016)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
A leucocytes count system from blood smear images - Segmentation and counting of white blood cells based on learning by sampling. Mach. Vis. Appl. 27 (8) (2016)
Lorenzo Putzu, Cecilia Di Ruberto, Gianni Fenu
A Mobile Application for Leaf Detection in Complex Background Using Saliency Maps. ACIVS (2016)
Cecilia Di Ruberto, Giuseppe Fodde, Lorenzo Putzu
Comparison of Statistical Features for Medical Colour Image Classification. ICVS (2015)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
Learning by Sampling for White Blood Cells Segmentation. ICIAP (1) (2015)
Cecilia Di Ruberto, Giuseppe Fodde, Lorenzo Putzu
On Different Colour Spaces for Medical Colour Image Classification. CAIP (1) (2015)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
A Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation. CAIP (2) (2015)
Cecilia Di Ruberto, Giuseppe Fodde
Statistical Features for Image Retrieval - A Quantitative Comparison. VISAPP (1) (2014)
Cecilia Di Ruberto, Lorenzo Putzu
Accurate Blood Cells Segmentation through Intuitionistic Fuzzy Set Threshold. SITIS (2014)
Cecilia Di Ruberto, Lorenzo Putzu
A Fast Leaf Recognition Algorithm based on SVM Classifier and High Dimensional Feature Vector. VISAPP (1) (2014)
Lorenzo Putzu, Giovanni Caocci, Cecilia Di Ruberto
Leucocyte classification for leukaemia detection using image processing techniques. Artif. Intell. Medicine 62 (3) (2014)
Lorenzo Putzu, Cecilia Di Ruberto
White Blood Cells Identication and Classication from Leukemic Blood Image. IWBBIO (2013)
Lorenzo Putzu, Cecilia Di Ruberto
Investigation of Different Classification Models to Determine the Presence of Leukemia in Peripheral Blood Image. ICIAP (1) (2013)
Cecilia Di Ruberto, Giuseppe Fodde
Evaluation of Statistical Features for Medical Image Retrieval. ICIAP (1) (2013)
Cecilia Di Ruberto, Andrea Morgera
Dominant Points Detection on Digital Curves: A Comparison Between Optimal and Exact Approaches. IC-AI (2010)
Cecilia Di Ruberto, Luigi Cinque
Decomposition of two-dimensional shapes for efficient retrieval. Image Vis. Comput. 27 (8) (2009)
Cecilia Di Ruberto, Andrea Morgera
A New Algorithm for Polygonal Approximation Based on Ant Colony Optimization. ICIAP (2009)
Cecilia Di Ruberto, Andrea Morgera
Moment-Based Techniques for Image Retrieval. DEXA Workshops (2008)
Cecilia Di Ruberto, Andrea Morgera
A Comparison of 2-D Moment-Based Description Techniques. ICIAP (2005)
Cecilia Di Ruberto
Recognition of shapes by attributed skeletal graphs. Pattern Recognit. 37 (1) (2004)
Cecilia Di Ruberto
Attributed skeletal graphs for shape modelling and matching. ICIAP (2003)
Cecilia Di Ruberto, Andrew G. Dempster, Shahid Khan, Bill Jarra
Analysis of infected blood cell images using morphological operators. Image Vis. Comput. 20 (2) (2002)
Cecilia Di Ruberto, Andrew G. Dempster, Shahid Khan, Bill Jarra
Morphological Image Processing for Evaluating Malaria Disease. IWVF (2001)
Andrew G. Dempster, Cecilia Di Ruberto
Using granulometries in processing images of malarial blood. ISCAS (5) (2001)
Cecilia Di Ruberto, Andrew G. Dempster, Shahid Khan, Bill Jarra
Segmentation of Blood Images Using Morphological Operators. ICPR (2000)
Cecilia Di Ruberto, Andrew G. Dempster, Shahid Khan, Bill Jarra
Automatic Thresholding of Infected Blood Images Using Granulometry and Regional Extrema. ICPR (2000)
Cecilia Di Ruberto, Sergio Vitulano, Giuseppe Rodriguez
Image Segmentation by Texture Analysis. ICIAP (1999)
Sergio Vitulano, Michele Nappi, Cecilia Di Ruberto
Edge Detection: Local and Global Operators. Int. J. Pattern Recognit. Artif. Intell. 12 (5) (1998)
Cecilia Di Ruberto, Michele Nappi, Sergio Vitulano
Image Segmentation by Means of Fuzzy Entropy Measure. ICIAP (1) (1997)
Sergio Vitulano, Cecilia Di Ruberto, Michele Nappi
Different methods to segment biomedical images. Pattern Recognit. Lett. 18 (11-13) (1997)
Sergio Vitulano, Cecilia Di Ruberto, Michele Nappi
Biomedical image processing [human perception modeling]. ICECS (1996)
Sergio Vitulano, Cecilia Di Ruberto, Michele Nappi
A.I. Based Image Segmentation. ICIAP (1995)
Sergio Vitulano, Cecilia Di Ruberto, Michele Nappi
Computer Aided Diagnosis in Radiology. ICSC (1995)