Santa Di Cataldo

Polytechnic University of Turin — Italy

Computer Science · Physical Sciences

19h-index1.2kcitations70works2.12yr avg
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Research Topics

AI in cancer detection(19), Cell Image Analysis Techniques(16), Additive Manufacturing Materials and Processes(7), Additive Manufacturing and 3D Printing Technologies(7), Industrial Vision Systems and Defect Detection(7)

Publications70 total

Renal Cell Carcinoma subtyping: Learning from multi-resolution localization
Computer Methods and Programs in Biomedicine·2025Open Access
Inspecting Defects of EB-PBF Components with Active Thermography and Deep Learning: A Feasibility Study
2025Open Access
Uncertainty-Aware AI for Tumor Subtyping with Histology and Immunohistochemistry: A Case Study in Renal Cell Carcinoma
SSRN Electronic Journal·2025Open Access
Renal Cell Carcinoma subtyping: learning from multi-resolution localization
arXiv (Cornell University)·2024Open Access
Physics-Informed Neural Networks: A Step Towards Data-Driven Optimization of Additive Manufacturing
2024· 1 cited
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge
2024· 1 citedOpen Access
Machine learning-enabled real-time anomaly detection for electron beam powder bed fusion additive manufacturing
Journal of Intelligent Manufacturing·2024· 14 citedOpen Access
A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring
2024
An AI-Enabled Framework for Smart Semiconductor Manufacturing
2024· 3 cited
Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line
2023· 5 cited
Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper
2023· 5 cited
A Distributed Software Platform for Additive Manufacturing
2023· 1 cited
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0
arXiv (Cornell University)·2023Open Access
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality
Expert Systems with Applications·2022· 6 citedOpen Access
Quality inspection of critical aircraft engine components: towards full automation
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)·2022· 2 cited
High Resolution Explanation Maps for CNNs using Segmentation Networks
2022Open Access
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations
BMC Bioinformatics·2022· 18 citedOpen Access
W2wnet: A Two-Module Probabilistic Convolutional Neural Network with Embedded Data Cleansing Functionality
SSRN Electronic Journal·2022· 1 citedOpen Access
e-Pupil: IoT-Based Augmentative and Alternative Communication Device Exploiting the Pupillary Near-Reflex
IEEE Access·2022· 7 citedOpen Access
In-Situ Defect Detection of Metal Additive Manufacturing: An Integrated Framework
IEEE Transactions on Emerging Topics in Computing·2021· 47 cited
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Frequent Co-authors

Elisa Ficarra(32), Enrico Macii(31), Francesco Ponzio(14), Edoardo Patti(9), Gianvito Urgese(9), Andrea Acquaviva(8), A. Bottino(6), Sara Vinco(5), Alessio Mascolini(5), Yukai Chen(4), Alberto Macii(4), Massimo Poncino(4), Davide Cannizzaro(4), Simone Tonti(4), Marta Lovino(4), Donkyu Baek(3), Lorenzo Bottaccioli(3), Naehyuck Chang(3), Ihtesham Ul Islam(3), Sebastiano Gaiardelli(3)