University of Cagliari
Laura Fanti
Foundation models meet multimodal neuroimaging: A generative transformer-based framework for Alzheimer’s disease diagnosis
2026-01-01 Zedda, Luca; Loddo, Andrea; Di Ruberto, Cecilia
ReSHAPe: A redundancy-reduced SHAP-based feature selection pipeline for interpretable radiomics in biomedical image analysis
2026-01-01 Perniciano, A.; Cau, F. M.; Spano, L. D.; Di Ruberto, C.; Loddo, A.
A SAM-Based Automated Schistocyte Detection Pipeline in Peripheral Blood Smear Images
2026-01-01 Bensaid, Ahmed; Putzu, Lorenzo; Loddo, Andrea; Di Ruberto, Cecilia
RedDino: A Foundation Model for Red Blood Cell Analysis
2026-01-01 Zedda, Luca; Loddo, Andrea; Di Ruberto, Cecilia; Marr, Carsten
WBC-CLIP: A multimodal vision-language framework for morphology aware white blood cell analysis
2026-01-01 Zedda, L.; Mura, D. A.; Manzo, A.; Di Ruberto, C.; Loddo, A.
MORE: A Framework for Stable White Blood Cell Morphological Classification and Report Generation
2026-01-01 Zedda, Luca; Loddo, Andrea; Di Ruberto, Cecilia
A Transformer-Based Framework for OCT Cyst Segmentation
2026-01-01 Zedda, Luca; Mura, Davide Antonio; Loddo, Andrea; Di Ruberto, Cecilia
Event-GPT: Sequence-Aware Video Event Classification via LoRA-Tuned GPT
2026-01-01 Zedda, Luca; Loddo, Andrea; Ruberto, Cecilia Di
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario
2025-01-01 Zedda, Luca; Loddo, Andrea; Di Ruberto, Cecilia
MIRIAMS: Models Integration for Reliable Identification and Accurate Multiple Sclerosis segmentation
2025-01-01 Pani, A.; Loddo, A.; Putzu, L.; Zedda, L.; Di Ruberto, C.
Detecting coagulation time in cheese making by means of computer vision and machine learning techniques
2025-01-01 Loddo, A.; Di Ruberto, C.; Armano, G.; Manconi, A.
Exploring few-shot object detection on blood smear images: a case study of leukocytes and schistocytes
2025-01-01 Mura, Davide Antonio; Pinna, Michela; Putzu, Lorenzo; Loddo, Andrea; Perniciano, Alessandra; Mulas, Olga; Di Ruberto, Cecilia
Radio DINO: A foundation model for advanced radiomics and AI-driven medical imaging analysis
2025-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
3D-NASE: a novel 3D CT nasal attention-based segmentation ensemble
2025-01-01 Pani, A.; Zedda, L.; Mura, D. A.; Loddo, A.; Di Ruberto, C.
CRDet: An artificial intelligence-based framework for automated cheese ripeness assessment from digital images
2025-01-01 Perniciano, Alessandra; Zedda, Luca; Di Ruberto, Cecilia; Pes, Barbara; Loddo, Andrea
Test-Time Augmentation for Cross-Domain Leukocyte Classification via OOD Filtering and Self-Ensembling
2025-01-01 Putzu, L.; Loddo, A.; Di Ruberto, C.
Advancements in radiomics: A comprehensive survey of feature types and their correlation on modalities and regions
2025-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
YOLO-Tryppa: A Novel YOLO-Based Approach for Rapid and Accurate Detection of Small Trypanosoma Parasites
2025-01-01 Mura, D. A.; Zedda, L.; Loddo, A.; Di Ruberto, C.
Training and benchmarking leukocyte sub-types classification methods with synthetic images
2025-01-01 Zedda, Luca; Putzu, Lorenzo; Loddo, Andrea; Di Ruberto, Cecilia
From user preferences to optimization constraints using large language models
2025-01-01 Sanguinetti, Manuela; Perniciano, Alessandra; Zedda, Luca; Loddo, Andrea; Di Ruberto, Cecilia; Atzori, Maurizio
A comparative analysis of image descriptors for histopathological classification of gastric cancer
2025-01-01 Usai, Marco; Loddo, Andrea; Perniciano, Alessandra; Atzori, Maurizio; Di Ruberto, Cecilia
Exploring the Dataset Landscape for Automated Propaganda Detection: A Data-Centric Insight
2025-01-01 Usai, M.; Mura, D. A.; Loddo, A.; Sanguinetti, M.; Zedda, L.; Di Ruberto, C.; Atzori, M.
Is it fake or not? A comprehensive approach for multimodal fake news detection
2025-01-01 Mura, D. A.; Usai, M.; Loddo, A.; Sanguinetti, M.; Zedda, L.; Di Ruberto, C.; Atzori, M.
SAMMI: Segment Anything Model for Malaria Identification
2024-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies
2024-01-01 Loddo, A.; Usai, M.; Di Ruberto, C.
MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection
2024-01-01 Zedda, L.; Loddo, A.; 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.
Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification
2024-01-01 Zedda, L.; Perniciano, A.; Loddo, A.; Di Ruberto, C.
Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes
2024-01-01 Zedda, Luca; Perniciano, Alessandra; Loddo, Andrea; Di Ruberto, Cecilia; Sanguinetti, Manuela; Atzori, Maurizio
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.
Insights into radiomics: impact of feature selection and classification
2024-01-01 Perniciano, Alessandra; Loddo, Andrea; Di Ruberto, Cecilia; Pes, Barbara
Federated Learning for Enhanced Cell Nuclei Segmentation in Histopathological Images
2024-01-01 Usai, Marco; Loddo, Andrea; Putzu, Lorenzo; Ruberto, Cecilia Di
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.
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.
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.
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.
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.
Special Issue on Image Processing Techniques for Biomedical Applications
2022-01-01 Di Ruberto, C.; Loddo, A.; Putzu, L.
Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence
2022-01-01 Loddo, A.; Di Ruberto, C.; Armano, G.; Manconi, A.
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.
An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis
2022-01-01 Loddo, A.; Fadda, C.; Di Ruberto, C.
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.
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
Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval
2021-01-01 Putzu, L.; Loddo, A.; Di Ruberto, C.
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.
| Title | Issue Date | Author(s) | Journal | Publisher |
|---|---|---|---|---|
| Foundation models meet multimodal neuroimaging: A generative transformer-based framework for Alzheimer’s disease diagnosis | 1-Jan-2026 | Zedda, Luca; Loddo, Andrea; Di Ruberto, Cecilia | NEUROCOMPUTING | - |
| ReSHAPe: A redundancy-reduced SHAP-based feature selection pipeline for interpretable radiomics in biomedical image analysis | 1-Jan-2026 | Perniciano, A.; Cau, F. M.; Spano, L. D.; Di Ruberto, C.; Loddo, A. | NEUROCOMPUTING | - |
| A SAM-Based Automated Schistocyte Detection Pipeline in Peripheral Blood Smear Images | 1-Jan-2026 | Bensaid, Ahmed; Putzu, Lorenzo; Loddo, Andrea; Di Ruberto, Cecilia | - | Springer Science and Business Media Deutschland GmbH |
| RedDino: A Foundation Model for Red Blood Cell Analysis | 1-Jan-2026 | Zedda, Luca; Loddo, Andrea; Di Ruberto, Cecilia; Marr, Carsten | - | Springer Science and Business Media Deutschland GmbH |
| WBC-CLIP: A multimodal vision-language framework for morphology aware white blood cell analysis | 1-Jan-2026 | Zedda, L.; Mura, D. A.; Manzo, A.; Di Ruberto, C.; Loddo, A. | IMAGE AND VISION COMPUTING | - |
| MORE: A Framework for Stable White Blood Cell Morphological Classification and Report Generation | 1-Jan-2026 | Zedda, Luca; Loddo, Andrea; Di Ruberto, Cecilia | - | Springer Science and Business Media Deutschland GmbH |
| A Transformer-Based Framework for OCT Cyst Segmentation | 1-Jan-2026 | Zedda, Luca; Mura, Davide Antonio; Loddo, Andrea; Di Ruberto, Cecilia | - | Springer Science and Business Media Deutschland GmbH |
| Event-GPT: Sequence-Aware Video Event Classification via LoRA-Tuned GPT | 1-Jan-2026 | Zedda, Luca; Loddo, Andrea; Ruberto, Cecilia Di | - | Springer Science and Business Media Deutschland GmbH |
| A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario | 1-Jan-2025 | Zedda, Luca; Loddo, Andrea; Di Ruberto, Cecilia | COMPUTERS IN BIOLOGY AND MEDICINE | - |
| MIRIAMS: Models Integration for Reliable Identification and Accurate Multiple Sclerosis segmentation | 1-Jan-2025 | Pani, A.; Loddo, A.; Putzu, L.; Zedda, L.; Di Ruberto, C. | - | Springer Science and Business Media Deutschland GmbH |
| Detecting coagulation time in cheese making by means of computer vision and machine learning techniques | 1-Jan-2025 | Loddo, A.; Di Ruberto, C.; Armano, G.; Manconi, A. | COMPUTERS IN INDUSTRY | - |
| Exploring few-shot object detection on blood smear images: a case study of leukocytes and schistocytes | 1-Jan-2025 | Mura, Davide Antonio; Pinna, Michela; Putzu, Lorenzo; Loddo, Andrea; Perniciano, Alessandra; Mulas, Olga; Di Ruberto, Cecilia | - | - |
| Radio DINO: A foundation model for advanced radiomics and AI-driven medical imaging analysis | 1-Jan-2025 | Zedda, L.; Loddo, A.; Di Ruberto, C. | COMPUTERS IN BIOLOGY AND MEDICINE | - |
| 3D-NASE: a novel 3D CT nasal attention-based segmentation ensemble | 1-Jan-2025 | Pani, A.; Zedda, L.; Mura, D. A.; Loddo, A.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| CRDet: An artificial intelligence-based framework for automated cheese ripeness assessment from digital images | 1-Jan-2025 | Perniciano, Alessandra; Zedda, Luca; Di Ruberto, Cecilia; Pes, Barbara; Loddo, Andrea | IEEE/CAA JOURNAL OF AUTOMATICA SINICA | - |
| Test-Time Augmentation for Cross-Domain Leukocyte Classification via OOD Filtering and Self-Ensembling | 1-Jan-2025 | Putzu, L.; Loddo, A.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| Advancements in radiomics: A comprehensive survey of feature types and their correlation on modalities and regions | 1-Jan-2025 | Zedda, L.; Loddo, A.; Di Ruberto, C. | NEUROCOMPUTING | - |
| YOLO-Tryppa: A Novel YOLO-Based Approach for Rapid and Accurate Detection of Small Trypanosoma Parasites | 1-Jan-2025 | Mura, D. A.; Zedda, L.; Loddo, A.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| Training and benchmarking leukocyte sub-types classification methods with synthetic images | 1-Jan-2025 | Zedda, Luca; Putzu, Lorenzo; Loddo, Andrea; Di Ruberto, Cecilia | - | Springer |
| From user preferences to optimization constraints using large language models | 1-Jan-2025 | Sanguinetti, Manuela; Perniciano, Alessandra; Zedda, Luca; Loddo, Andrea; Di Ruberto, Cecilia; Atzori, Maurizio | - | - |
| A comparative analysis of image descriptors for histopathological classification of gastric cancer | 1-Jan-2025 | Usai, Marco; Loddo, Andrea; Perniciano, Alessandra; Atzori, Maurizio; Di Ruberto, Cecilia | - | - |
| Exploring the Dataset Landscape for Automated Propaganda Detection: A Data-Centric Insight | 1-Jan-2025 | Usai, M.; Mura, D. A.; Loddo, A.; Sanguinetti, M.; Zedda, L.; Di Ruberto, C.; Atzori, M. | - | CEUR-WS |
| Is it fake or not? A comprehensive approach for multimodal fake news detection | 1-Jan-2025 | Mura, D. A.; Usai, M.; Loddo, A.; Sanguinetti, M.; Zedda, L.; Di Ruberto, C.; Atzori, M. | ONLINE SOCIAL NETWORKS AND MEDIA | - |
| SAMMI: Segment Anything Model for Malaria Identification | 1-Jan-2024 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Science and Technology Publications, Lda |
| Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies | 1-Jan-2024 | Loddo, A.; Usai, M.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection | 1-Jan-2024 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer Science and Business Media |
| A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites | 1-Jan-2024 | Zedda, L.; Loddo, A.; Di Ruberto, C. | BIOMEDICAL SIGNAL PROCESSING AND CONTROL | - |
| Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification | 1-Jan-2024 | Zedda, L.; Perniciano, A.; Loddo, A.; Di Ruberto, C. | KNOWLEDGE-BASED SYSTEMS | - |
| Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes | 1-Jan-2024 | Zedda, Luca; Perniciano, Alessandra; Loddo, Andrea; Di Ruberto, Cecilia; Sanguinetti, Manuela; Atzori, Maurizio | - | Association for Computational Linguistics |
| 2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results | 1-Jan-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 |
| Insights into radiomics: impact of feature selection and classification | 1-Jan-2024 | Perniciano, Alessandra; Loddo, Andrea; Di Ruberto, Cecilia; Pes, Barbara | MULTIMEDIA TOOLS AND APPLICATIONS | - |
| Federated Learning for Enhanced Cell Nuclei Segmentation in Histopathological Images | 1-Jan-2024 | Usai, Marco; Loddo, Andrea; Putzu, Lorenzo; Ruberto, Cecilia Di | - | IEEE |
| An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation | 1-Jan-2024 | Loddo, A.; Ghiani, D.; Perniciano, A.; Zedda, L.; Pes, B.; Di Ruberto, C. | INFORMATION | - |
| FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking | 1-Jan-2024 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer Science and Business Media |
| Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology | 1-Jan-2023 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer |
| 1stWorkshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results | 1-Jan-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 |
| YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection | 1-Jan-2023 | Zedda, L.; Loddo, A.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| On The Potential of Image Moments for Medical Diagnosis | 1-Jan-2023 | Di Ruberto, C.; Loddo, A.; Putzu, L. | JOURNAL OF IMAGING | - |
| An effective and friendly tool for seed image analysis | 1-Jan-2022 | Loddo, A.; Di Ruberto, C.; Vale, A. M. P. G.; Ucchesu, M.; Soares, J. M.; Bacchetta, G. | THE VISUAL COMPUTER | - |
| Special Issue on Image Processing Techniques for Biomedical Applications | 1-Jan-2022 | Di Ruberto, C.; Loddo, A.; Putzu, L. | APPLIED SCIENCES | - |
| Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence | 1-Jan-2022 | Loddo, A.; Di Ruberto, C.; Armano, G.; Manconi, A. | IEEE ACCESS | - |
| Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method | 1-Jan-2022 | Loddo, A.; Buttau, S.; Di Ruberto, C. | COMPUTERS IN BIOLOGY AND MEDICINE | - |
| An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis | 1-Jan-2022 | Loddo, A.; Fadda, C.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set | 1-Jan-2022 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer |
| A Shallow Learning Investigation for COVID-19 Classification | 1-Jan-2022 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer |
| On the efficacy of handcrafted and deep features for seed image classification | 1-Jan-2021 | Loddo, A.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| A novel deep learning based approach for seed image classification and retrieval | 1-Jan-2021 | Loddo, Andrea; Loddo, Mauro; Di Ruberto, Cecilia | COMPUTERS AND ELECTRONICS IN AGRICULTURE | - |
| Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval | 1-Jan-2021 | Putzu, L.; Loddo, A.; Di Ruberto, C. | - | Springer Science and Business Media Deutschland GmbH |
| Deep learning for covid-19 diagnosis from CT images | 1-Jan-2021 | Loddo, A.; Pili, F.; Di Ruberto, C. | APPLIED SCIENCES | - |
| Blob detection and deep learning for leukemic blood image analysis | 1-Jan-2020 | Di Ruberto, C.; Loddo, A.; Puglisi, G. | APPLIED SCIENCES | - |
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