Michela Gravina

Orcid: 0000-0001-5033-9617

According to our database1, Michela Gravina authored at least 28 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Automating parasite egg detection: insights from the first AI-KFM challenge.
Frontiers Artif. Intell., 2024

Multi input-Multi output 3D CNN for dementia severity assessment with incomplete multimodal data.
Artif. Intell. Medicine, 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

Responsible and Reliable AI at PICUS Lab.
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

AI-Powered Learning: Personalizing Education for each Student.
Proceedings of the Italia Intelligenza Artificiale, 2023

FEAD-D: Facial Expression Analysis in Deepfake Detection.
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

Deep Learning for HDD Health Assessment: An Application Based on LSTM.
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

LessonAble: Leveraging Deep Fakes in MOOC Content Creation.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Leveraging CycleGAN in Lung CT Sinogram-free Kernel Conversion.
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
Deep learning in the ultrasound evaluation of neonatal respiratory status.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Developing a Smart PACS: CBIR System Using Deep Learning.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
A Business Reputation Methodology Using Social Network Analysis.
Proceedings of the Pervasive Systems, Algorithms and Networks, 2019

3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI.
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


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