Michela Gravina
Orcid: 0000-0001-5033-9617
According to our database1,
Michela Gravina
authored at least 27 papers
between 2019 and 2024.
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Bibliography
2024
A Physiological-Informed Generative Model for Improving Breast Lesion Classification in Small DCE-MRI Datasets.
IEEE J. Biomed. Health Informatics, November, 2024
Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation.
IEEE Trans. Artif. Intell., September, 2024
Multi input-Multi output 3D CNN for dementia severity assessment with incomplete multimodal data.
Artif. Intell. Medicine, 2024
Proceedings of the Ital-IA Intelligenza Artificiale, 2024
Responsibile and Reliable AI: Activities of the CINI-AIIS Lab at University of Naples Federico II.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024
2023
Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection.
IET Biom., March, 2023
Development of Technologies for the Detection of (Cyber)Bullying Actions: The BullyBuster Project.
Inf., 2023
Proceedings of the Italia Intelligenza Artificiale, 2023
Leveraging Artificial Intelligence to Fight (Cyber)Bullying for Human Well-being: The BullyBuster Project.
Proceedings of the Italia Intelligenza Artificiale, 2023
Advanced AI-based approaches in Industry 4.0 of the University of Naples Federico II node of the CINI-AIIS Lab.
Proceedings of the Italia Intelligenza Artificiale, 2023
Fingerprint Presentation Attacks: Tackling the Ongoing Arms Race in Biometric Authentication.
Proceedings of the Italia Intelligenza Artificiale, 2023
AI in healthcare: Activities of the University of Naples Federico II node of the CINI-AIIS Lab.
Proceedings of the Italia Intelligenza Artificiale, 2023
Proceedings of the Italia Intelligenza Artificiale, 2023
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023
Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets.
Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023
Analyzing the Similarity between Artificial and Training Images in Generative Models: The PicusLabMed Contribution.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
2022
A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation Identification.
J. Imaging, December, 2022
IEEE Trans. Computers, 2022
Evaluating Tumour Bounding Options for Deep Learning-based Axillary Lymph Node Metastasis Prediction in Breast Cancer.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
2021
DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI.
Pattern Recognit. Lett., 2021
2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
Proceedings of the Pervasive Systems, Algorithms and Networks, 2019
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019
Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification.
Proceedings of the Computer Analysis of Images and Patterns, 2019