Università degli Studi di Cagliari
Cecilia Di Ruberto
An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation
2024-01-01 Loddo, A.; Ghiani, D.; Perniciano, A.; Zedda, L.; Pes, B.; Di Ruberto, C.
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites
2024-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results
2024-01-01 Kiefer, B.; Zust, L.; Kristan, M.; Pers, J.; Tersek, M.; Wiliem, A.; Messmer, M.; Yang, C. -Y.; Huang, H. -W.; Jiang, Z.; Kuo, H. -C.; Mei, J.; Hwang, J. -N.; Stadler, D.; Sommer, L.; Huang, K.; Zheng, A.; Chong, W.; Lertniphonphan, K.; Xie, J.; Chen, F.; Li, J.; Wang, Z.; Zedda, L.; Loddo, A.; Di Ruberto, C.; Vu, T. -A.; Nguyen-Truong, H.; Ha, T. -S.; Pham, Q. -D.; Yeung, S. -K.; Feng, Y.; Thien, N. T.; Tian, L.; Kuan, S. -Y.; Ho, Y. -H.; Rodriguez, A. B.; Carrillo-Perez, B.; Klein, A.; Alex, A.; Steiniger, Y.; Sattler, F.; Solano-Carrillo, E.; Fabijanic, M.; Sumunec, M.; Kapetanovic, N.; Michel, A.; Gross, W.; Weinmann, M.
SAMMI: Segment Anything Model for Malaria Identification
2024-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification
2024-01-01 Zedda, L.; Perniciano, A.; Loddo, A.; Di Ruberto, C.
MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection
2024-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking
2024-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology
2023-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection
2023-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
On The Potential of Image Moments for Medical Diagnosis
2023-01-01 Di Ruberto, C.; Loddo, A.; Putzu, L.
1stWorkshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
2023-01-01 Kiefer, B.; Kristan, M.; Pers, J.; Zust, L.; Poiesi, F.; De Alcantara Andrade, F. A.; Bernardino, A.; Dawkins, M.; Raitoharju, J.; Quan, Y.; Atmaca, A.; Hofer, T.; Zhang, Q.; Xu, Y.; Zhang, J.; Tao, D.; Sommer, L.; Spraul, R.; Zhao, H.; Zhang, H.; Zhao, Y.; Augustin, J. L.; Jeon, E. -I.; Lee, I.; Zedda, L.; Loddo, A.; Di Ruberto, C.; Verma, S.; Gupta, S.; Muralidhara, S.; Hegde, N.; Xing, D.; Evangeliou, N.; Tzes, A.; Bartl, V.; Spanhel, J.; Herout, A.; Bhowmik, N.; Breckon, T. P.; Kundargi, S.; Anvekar, T.; Tabib, R. A.; Mudengudi, U.; Vats, A.; Song, Y.; Liu, D.; Li, Y.; Li, S.; Tan, C.; Lan, L.; Somers, V.; De Vleeschouwer, C.; Alahi, A.; Huang, H. -W.; Yang, C. -Y.; Hwang, J. -N.; Kim, P. -K.; Kim, K.; Lee, K.; Jiang, S.; Li, H.; Ziqiang, Z.; Vu, T. -A.; Nguyen-Truong, H.; Yeung, S. -K.; Jia, Z.; Yang, S.; Hsu, C. -C.; Hou, X. -Y.; Jhang, Y. -A.; Yang, S.; Yang, M. -T.
A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set
2022-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
A Shallow Learning Investigation for COVID-19 Classification
2022-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis
2022-01-01 Loddo, A.; Fadda, C.; Di Ruberto, C.
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method
2022-01-01 Loddo, A.; Buttau, S.; Di Ruberto, C.
Special Issue on Image Processing Techniques for Biomedical Applications
2022-01-01 Di Ruberto, C.; Loddo, A.; Putzu, L.
An effective and friendly tool for seed image analysis
2022-01-01 Loddo, A.; Di Ruberto, C.; Vale, A. M. P. G.; Ucchesu, M.; Soares, J. M.; Bacchetta, G.
Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence
2022-01-01 Loddo, A.; Di Ruberto, C.; Armano, G.; Manconi, A.
Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval
2021-01-01 Putzu, L.; Loddo, A.; Di Ruberto, C.
On the efficacy of handcrafted and deep features for seed image classification
2021-01-01 Loddo, A.; Di Ruberto, C.
A novel deep learning based approach for seed image classification and retrieval
2021-01-01 Loddo, Andrea; Loddo, Mauro; Di Ruberto, Cecilia
Deep learning for covid-19 diagnosis from CT images
2021-01-01 Loddo, A.; Pili, F.; Di Ruberto, C.
Blob detection and deep learning for leukemic blood image analysis
2020-01-01 Di Ruberto, C.; Loddo, A.; Puglisi, G.
Detection of red and white blood cells from microscopic blood images using a region proposal approach
2020-01-01 Di Ruberto, C.; Loddo, A.; Putzu, L.
MP-IDB: The Malaria Parasite image database for image processing and analysis
2019-01-01 DI RUBERTO, Cecilia; Loddo, Andrea; Michel, Kocher; Guy, Prod’Hom
A region proposal approach for cells detection and counting from microscopic blood images
2019-01-01 Di Ruberto, C.; Loddo, A.; Putzu, L.
An Open Source Plugin for Image Analysis in Biology
2019-01-01 Campanile, Giorgia; Di Ruberto, C.; Loddo, A.
Fast and accurate computation of orthogonal moments for texture analysis
2018-01-01 Di Ruberto, Cecilia; Putzu, Lorenzo; Rodriguez, Giuseppe
White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation
2018-01-01 Porcu, Simone; Loddo, Andrea; Putzu, Lorenzo; DI RUBERTO, Cecilia
Recent advances of malaria parasites detection systems based on mathematical morphology
2018-01-01 Loddo, Andrea; Di Ruberto, Cecilia; Kocher, Michel
Histogram of Radon transform and texton matrix for texture analysis and classification
2017-01-01 DI RUBERTO, Cecilia
Histological image analysis by invariant descriptors
2017-01-01 DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo
Rotation invariant co-occurrence matrix features
2017-01-01 Putzu, Lorenzo; DI RUBERTO, Cecilia
A computer-aided system for differential count from peripheral blood cell images
2017-01-01 Loddo, Andrea; Putzu, Lorenzo; DI RUBERTO, Cecilia; Fenu, Gianni
A Feature Learning Framework for Histology Images Classification
2016-01-01 DI RUBERTO, Cecilia; Putzu, Lorenzo
Peripheral blood image analysis
2016-01-01 Loddo, Andrea; DI RUBERTO, Cecilia; Putzu, Lorenzo
A Leukocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling
2016-01-01 DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo
A mobile application for leaf detection in complex background using saliency maps
2016-01-01 Putzu, Lorenzo; DI RUBERTO, Cecilia; Fenu, Gianni
Comparison of statistical features for medical colour image classification
2015-01-01 DI RUBERTO, Cecilia; Fodde, Giuseppe; Putzu, Lorenzo
A multiple classifier learning by sampling system for white blood cells segmentation
2015-01-01 DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo
Learning by sampling for white blood cells segmentation
2015-01-01 DI RUBERTO, Cecilia; Loddo, A.; Putzu, Lorenzo
On different colour spaces for medical colour image classification
2015-01-01 DI RUBERTO, Cecilia; Fodde, Giuseppe; Putzu, Lorenzo
Statistical Features for Image Retrieval: A Quantitative Comparison
2014-01-01 DI RUBERTO, Cecilia; Fodde, G.
A fast leaf recognition algorithm based on SVM classifier and high dimensional feature vector
2014-01-01 DI RUBERTO, Cecilia; Putzu, Lorenzo
Accurate blood cells segmentation through intuitionistic fuzzy set threshold
2014-01-01 DI RUBERTO, Cecilia; Putzu, Lorenzo
Leucocyte classification for leukaemia detection using image processing techniques
2014-01-01 Putzu, Lorenzo; Caocci, Giovanni; DI RUBERTO, Cecilia
White Blood Cells Identification and Counting from Microscopic Blood Images
2013-01-01 Putzu, Lorenzo; DI RUBERTO, Cecilia
Investigation of Different Classification Models to Determine the Presence of Leukemia in Peripheral Blood Image
2013-01-01 Putzu, Lorenzo; DI RUBERTO, Cecilia
White Blood Cells Identification and Classification from Leukemic Blood Image
2013-01-01 Putzu, Lorenzo; DI RUBERTO, Cecilia
Evaluation of Statistical Features for Medical Image Retrieval
2013-01-01 DI RUBERTO, Cecilia; Fodde, G.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation | 1-gen-2024 | Loddo, A.; Ghiani, D.; Perniciano, A.; Zedda, L.; Pes, B.; Di Ruberto, C. | INFORMATION | - |
| A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites | 1-gen-2024 | Zedda, L.; Loddo, A.; Di Ruberto, C. | BIOMEDICAL SIGNAL PROCESSING AND CONTROL | - |
| 2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results | 1-gen-2024 | Kiefer, B.; Zust, L.; Kristan, M.; Pers, J.; Tersek, M.; Wiliem, A.; Messmer, M.; Yang, C. -Y.; Huang, H. -W.; Jiang, Z.; Kuo, H. -C.; Mei, J.; Hwang, J. -N.; Stadler, D.; Sommer, L.; Huang, K.; Zheng, A.; Chong, W.; Lertniphonphan, K.; Xie, J.; Chen, F.; Li, J.; Wang, Z.; Zedda, L.; Loddo, A.; Di Ruberto, C.; Vu, T. -A.; Nguyen-Truong, H.; Ha, T. -S.; Pham, Q. -D.; Yeung, S. -K.; Feng, Y.; Thien, N. T.; Tian, L.; Kuan, S. -Y.; Ho, Y. -H.; Rodriguez, A. B.; Carrillo-Perez, B.; Klein, A.; Alex, A.; Steiniger, Y.; Sattler, F.; Solano-Carrillo, E.; Fabijanic, M.; Sumunec, M.; Kapetanovic, N.; Michel, A.; Gross, W.; Weinmann, M. | - | Institute of Electrical and Electronics Engineers, IEEE |
| SAMMI: Segment Anything Model for Malaria Identification | 1-gen-2024 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Science and Technology Publications, Lda |
| Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification | 1-gen-2024 | Zedda, L.; Perniciano, A.; Loddo, A.; Di Ruberto, C. | KNOWLEDGE-BASED SYSTEMS | - |
| MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection | 1-gen-2024 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer Science and Business Media |
| FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking | 1-gen-2024 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer Science and Business Media |
| Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology | 1-gen-2023 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer |
| YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection | 1-gen-2023 | Zedda, L.; Loddo, A.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| On The Potential of Image Moments for Medical Diagnosis | 1-gen-2023 | Di Ruberto, C.; Loddo, A.; Putzu, L. | JOURNAL OF IMAGING | - |
| 1stWorkshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results | 1-gen-2023 | Kiefer, B.; Kristan, M.; Pers, J.; Zust, L.; Poiesi, F.; De Alcantara Andrade, F. A.; Bernardino, A.; Dawkins, M.; Raitoharju, J.; Quan, Y.; Atmaca, A.; Hofer, T.; Zhang, Q.; Xu, Y.; Zhang, J.; Tao, D.; Sommer, L.; Spraul, R.; Zhao, H.; Zhang, H.; Zhao, Y.; Augustin, J. L.; Jeon, E. -I.; Lee, I.; Zedda, L.; Loddo, A.; Di Ruberto, C.; Verma, S.; Gupta, S.; Muralidhara, S.; Hegde, N.; Xing, D.; Evangeliou, N.; Tzes, A.; Bartl, V.; Spanhel, J.; Herout, A.; Bhowmik, N.; Breckon, T. P.; Kundargi, S.; Anvekar, T.; Tabib, R. A.; Mudengudi, U.; Vats, A.; Song, Y.; Liu, D.; Li, Y.; Li, S.; Tan, C.; Lan, L.; Somers, V.; De Vleeschouwer, C.; Alahi, A.; Huang, H. -W.; Yang, C. -Y.; Hwang, J. -N.; Kim, P. -K.; Kim, K.; Lee, K.; Jiang, S.; Li, H.; Ziqiang, Z.; Vu, T. -A.; Nguyen-Truong, H.; Yeung, S. -K.; Jia, Z.; Yang, S.; Hsu, C. -C.; Hou, X. -Y.; Jhang, Y. -A.; Yang, S.; Yang, M. -T. | - | IEEE COMPUTER SOC |
| A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set | 1-gen-2022 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer |
| A Shallow Learning Investigation for COVID-19 Classification | 1-gen-2022 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer |
| An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis | 1-gen-2022 | Loddo, A.; Fadda, C.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method | 1-gen-2022 | Loddo, A.; Buttau, S.; Di Ruberto, C. | COMPUTERS IN BIOLOGY AND MEDICINE | - |
| Special Issue on Image Processing Techniques for Biomedical Applications | 1-gen-2022 | Di Ruberto, C.; Loddo, A.; Putzu, L. | APPLIED SCIENCES | - |
| An effective and friendly tool for seed image analysis | 1-gen-2022 | Loddo, A.; Di Ruberto, C.; Vale, A. M. P. G.; Ucchesu, M.; Soares, J. M.; Bacchetta, G. | THE VISUAL COMPUTER | - |
| Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence | 1-gen-2022 | Loddo, A.; Di Ruberto, C.; Armano, G.; Manconi, A. | IEEE ACCESS | - |
| Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval | 1-gen-2021 | Putzu, L.; Loddo, A.; Di Ruberto, C. | - | Springer Science and Business Media Deutschland GmbH |
| On the efficacy of handcrafted and deep features for seed image classification | 1-gen-2021 | Loddo, A.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| A novel deep learning based approach for seed image classification and retrieval | 1-gen-2021 | Loddo, Andrea; Loddo, Mauro; Di Ruberto, Cecilia | COMPUTERS AND ELECTRONICS IN AGRICULTURE | - |
| Deep learning for covid-19 diagnosis from CT images | 1-gen-2021 | Loddo, A.; Pili, F.; Di Ruberto, C. | APPLIED SCIENCES | - |
| Blob detection and deep learning for leukemic blood image analysis | 1-gen-2020 | Di Ruberto, C.; Loddo, A.; Puglisi, G. | APPLIED SCIENCES | - |
| Detection of red and white blood cells from microscopic blood images using a region proposal approach | 1-gen-2020 | Di Ruberto, C.; Loddo, A.; Putzu, L. | COMPUTERS IN BIOLOGY AND MEDICINE | - |
| MP-IDB: The Malaria Parasite image database for image processing and analysis | 1-gen-2019 | DI RUBERTO, Cecilia; Loddo, Andrea; Michel, Kocher; Guy, Prod’Hom | - | Springer |
| A region proposal approach for cells detection and counting from microscopic blood images | 1-gen-2019 | Di Ruberto, C.; Loddo, A.; Putzu, L. | - | Springer Verlag |
| An Open Source Plugin for Image Analysis in Biology | 1-gen-2019 | Campanile, Giorgia; Di Ruberto, C.; Loddo, A. | - | Institute of Electrical and Electronics Engineers Inc. |
| Fast and accurate computation of orthogonal moments for texture analysis | 1-gen-2018 | Di Ruberto, Cecilia; Putzu, Lorenzo; Rodriguez, Giuseppe | PATTERN RECOGNITION | - |
| White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation | 1-gen-2018 | Porcu, Simone; Loddo, Andrea; Putzu, Lorenzo; DI RUBERTO, Cecilia | - | SciTePress |
| Recent advances of malaria parasites detection systems based on mathematical morphology | 1-gen-2018 | Loddo, Andrea; Di Ruberto, Cecilia; Kocher, Michel | SENSORS | - |
| Histogram of Radon transform and texton matrix for texture analysis and classification | 1-gen-2017 | DI RUBERTO, Cecilia | IET IMAGE PROCESSING | - |
| Histological image analysis by invariant descriptors | 1-gen-2017 | DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo | - | Springer |
| Rotation invariant co-occurrence matrix features | 1-gen-2017 | Putzu, Lorenzo; DI RUBERTO, Cecilia | - | Springer |
| A computer-aided system for differential count from peripheral blood cell images | 1-gen-2017 | Loddo, Andrea; Putzu, Lorenzo; DI RUBERTO, Cecilia; Fenu, Gianni | - | Institute of Electrical and Electronics Engineers (IEEE) |
| A Feature Learning Framework for Histology Images Classification | 1-gen-2016 | DI RUBERTO, Cecilia; Putzu, Lorenzo | - | Elsevier Inc. |
| Peripheral blood image analysis | 1-gen-2016 | Loddo, Andrea; DI RUBERTO, Cecilia; Putzu, Lorenzo | - | SciTePress |
| A Leukocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling | 1-gen-2016 | DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo | MACHINE VISION AND APPLICATIONS | - |
| A mobile application for leaf detection in complex background using saliency maps | 1-gen-2016 | Putzu, Lorenzo; DI RUBERTO, Cecilia; Fenu, Gianni | - | - |
| Comparison of statistical features for medical colour image classification | 1-gen-2015 | DI RUBERTO, Cecilia; Fodde, Giuseppe; Putzu, Lorenzo | - | - |
| A multiple classifier learning by sampling system for white blood cells segmentation | 1-gen-2015 | DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo | LECTURE NOTES IN COMPUTER SCIENCE | - |
| Learning by sampling for white blood cells segmentation | 1-gen-2015 | DI RUBERTO, Cecilia; Loddo, A.; Putzu, Lorenzo | LECTURE NOTES IN COMPUTER SCIENCE | Springer |
| On different colour spaces for medical colour image classification | 1-gen-2015 | DI RUBERTO, Cecilia; Fodde, Giuseppe; Putzu, Lorenzo | LECTURE NOTES IN COMPUTER SCIENCE | - |
| Statistical Features for Image Retrieval: A Quantitative Comparison | 1-gen-2014 | DI RUBERTO, Cecilia; Fodde, G. | - | SciTePress - Science and Technology Publications |
| A fast leaf recognition algorithm based on SVM classifier and high dimensional feature vector | 1-gen-2014 | DI RUBERTO, Cecilia; Putzu, Lorenzo | - | SciTePress – Science and Technology Publications |
| Accurate blood cells segmentation through intuitionistic fuzzy set threshold | 1-gen-2014 | DI RUBERTO, Cecilia; Putzu, Lorenzo | - | IEEE |
| Leucocyte classification for leukaemia detection using image processing techniques | 1-gen-2014 | Putzu, Lorenzo; Caocci, Giovanni; DI RUBERTO, Cecilia | ARTIFICIAL INTELLIGENCE IN MEDICINE | - |
| White Blood Cells Identification and Counting from Microscopic Blood Images | 1-gen-2013 | Putzu, Lorenzo; DI RUBERTO, Cecilia | WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY | ACM |
| Investigation of Different Classification Models to Determine the Presence of Leukemia in Peripheral Blood Image | 1-gen-2013 | Putzu, Lorenzo; DI RUBERTO, Cecilia | LECTURE NOTES IN COMPUTER SCIENCE | SPRINGER |
| White Blood Cells Identification and Classification from Leukemic Blood Image | 1-gen-2013 | Putzu, Lorenzo; DI RUBERTO, Cecilia | - | Copicentro Editorial |
| Evaluation of Statistical Features for Medical Image Retrieval | 1-gen-2013 | DI RUBERTO, Cecilia; Fodde, G. | LECTURE NOTES IN COMPUTER SCIENCE | Springer |
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