Michela Gravina

Orcid: 0000-0001-5033-9617

According to our database1, Michela Gravina authored at least 38 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

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Bibliography

2026
Multimodal Stepwise Clinically-Guided Attention Learning for Pathological Complete Response Prediction in Breast Cancer.
CoRR, May, 2026

Toward Resilient AI in Medical Imaging: Handling and Mining Multiple Sources of Data.
SN Comput. Sci., March, 2026

Assessing demographic bias in brain age prediction models using multiple deep learning paradigms.
Pattern Recognit. Lett., 2026

2025
The BullyBuster Research Center: a multidisciplinary approach to digital and social violence.
Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025


Carbon Nanoparticles in Breast Cell Imaging for CNN-Based Tumor Detection.
Proceedings of the Image Analysis and Processing - ICIAP 2025 Workshops, 2025

Truth or Lie: An Audio-Visual Approach to Deception Detection.
Proceedings of the Image Analysis and Processing - ICIAP 2025, 2025

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

A Multimodal Machine Learning Model in Pneumonia Patients Hospital Length of Stay Prediction.
Big Data Cogn. Comput., 2024

Multi input-Multi output 3D CNN for dementia severity assessment with incomplete multimodal data.
Artif. Intell. Medicine, 2024

Multimodality Calibration in 3D Multi Input-Multi Output Network for Dementia Diagnosis with Incomplete Acquisitions.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 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

Artificial Intelligence and Medical Imaging: Handling and Mining Multiple Sources.
PhD thesis, 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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