Pierangela Bruno
Orcid: 0000-0002-0832-0151
According to our database1,
Pierangela Bruno
authored at least 21 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Medical Image Anal., May, 2023
Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming.
CoRR, 2023
Proceedings of the Italia Intelligenza Artificiale, 2023
2022
Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension.
Neural Comput. Appl., 2022
A Parallelization Approach for Hybrid-AI-based Models: an Application Study for Semantic Segmentation of Medical Images.
Proceedings of the Joint Proceedings of the 1st International Workshop on HYbrid Models for Coupling Deductive and Inductive ReAsoning (HYDRA 2022) and the 29th RCRA Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion (RCRA 2022) co-located with the 16th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2022), 2022
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2022
Proceedings of the 1st AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2022) co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), 2022
2021
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.
Medical Image Anal., 2021
How can we learn (more) from challenges? A statistical approach to driving future algorithm development.
CoRR, 2021
Combining Deep Learning and ASP-Based Models for the Semantic Segmentation of Medical Images.
Proceedings of the Rules and Reasoning - 5th International Joint Conference, 2021
2020
Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room.
CoRR, 2020
Data reduction and data visualization for automatic diagnosis using gene expression and clinical data.
Artif. Intell. Medicine, 2020
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Understanding Automatic Diagnosis and Classification Processes with Data Visualization.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020
Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence, 2020
Proceedings of the AIxIA 2020 - Advances in Artificial Intelligence, 2020
2019
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019
2018
Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018
Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation.
Proceedings of the RiCeRcA Workshop co-located with the 17th International Conference of the Italian Association for Artificial Intelligence, 2018
Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images.
Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018