Salvatore Contino

Orcid: 0000-0002-7476-1545

According to our database1, Salvatore Contino authored at least 14 papers between 2019 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Unveiling molecular moieties through hierarchical Grad-CAM graph explainability.
BMC Bioinform., December, 2025

Advances in AI for health and medicine @ Computer-Human Interaction Laboratory (CHILab).
Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

PARSAL: Pipeline for Automatic Retrieval and Structuring of Academic Literature.
Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), 2025

Exploiting Double Representation and Gated Multi-Head Cross-Attention for Polymers Properties Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2025

Unsupervised MR to CT Synthesis: A Comparative Analysis of Explicit Structural Constrained Adversarial Learning and Adversarial Diffusion Models.
Proceedings of the Image Analysis and Processing - ICIAP 2025 Workshops, 2025

An Integrative Deep Learning Model for Drug-Target Interaction Prediction.
Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

Federated Learning Framework for Privacy-Preserving AI in Healthcare.
Proceedings of the Advanced Information Networking and Applications, 2025

2024
MedPix 2.0: A Comprehensive Multimodal Biomedical Dataset for Advanced AI Applications.
CoRR, 2024

Unveiling Molecular Moieties through Hierarchical Graph Explainability.
CoRR, 2024

IODeep: An IOD for the introduction of deep learning in the DICOM standard.
Comput. Methods Programs Biomed., 2024

DR-Minerva: A Multimodal Language Model Based on Minerva for Diagnostic Information Retrieval.
Proceedings of the AIxIA 2024 - Advances in Artificial Intelligence, 2024

2022
Study and identification of new molecular descriptors, finalized to the development of Virtual Screening techniques through the use of deep neural networks.
PhD thesis, 2022

2020
Convolutional architectures for virtual screening.
BMC Bioinform., 2020

2019
A Convolutional Neural Network for Virtual Screening of Molecular Fingerprints.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019


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