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ORCIDSanta Di Cataldo
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Books and Theses
- 2015
[b1]Santa Di Cataldo:
Image Processing Techniques for Histopathology. Polytechnic University of Turin, Italy, 2015
Journal Articles
- 2023
- [j21]Francesco Ponzio
, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. Expert Syst. Appl. 214: 119121 (2023) - 2022
- [j20]Giovanni Chiarion, Francesco Ponzio, Stefano Terna, Cristina Moglia, Edoardo Patti, Santa Di Cataldo, Silvestro Roatta:
e-Pupil: IoT-Based Augmentative and Alternative Communication Device Exploiting the Pupillary Near-Reflex. IEEE Access 10: 130078-130088 (2022) - [j19]Alessio Mascolini, Dario Cardamone, Francesco Ponzio, Santa Di Cataldo, Elisa Ficarra:
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations. BMC Bioinform. 23(1): 295 (2022) - [j18]Davide Cannizzaro, Antonio Giuseppe Varrella, Stefano Paradiso, Roberta Sampieri, Yukai Chen, Alberto Macii, Edoardo Patti, Santa Di Cataldo:
In-Situ Defect Detection of Metal Additive Manufacturing: An Integrated Framework. IEEE Trans. Emerg. Top. Comput. 10(1): 74-86 (2022) - 2021
- [j17]Santa Di Cataldo, Sukhan Lee, Enrico Macii, Birgit Vogel-Heuser:
Leading Information and Communication Technologies for Smart Manufacturing: Facing the New Challenges and Opportunities of the 4th Industrial Revolution. Proc. IEEE 109(4): 320-325 (2021) - [j16]Santa Di Cataldo, Sara Vinco, Gianvito Urgese, Flaviana Calignano, Elisa Ficarra, Alberto Macii, Enrico Macii:
Optimizing Quality Inspection and Control in Powder Bed Metal Additive Manufacturing: Challenges and Research Directions. Proc. IEEE 109(4): 326-346 (2021) - [j15]Francesco Barchi, Gianvito Urgese, Alessandro Siino, Santa Di Cataldo, Enrico Macii, Andrea Acquaviva:
Flexible On-Line Reconfiguration of Multi-Core Neuromorphic Platforms. IEEE Trans. Emerg. Top. Comput. 9(2): 915-927 (2021) - [j14]Daniele Jahier Pagliari, Santa Di Cataldo, Edoardo Patti, Alberto Macii, Enrico Macii, Massimo Poncino:
Low-Overhead Adaptive Brightness Scaling for Energy Reduction in OLED Displays. IEEE Trans. Emerg. Top. Comput. 9(3): 1625-1636 (2021) - 2020
- [j13]Gianvito Urgese, Emanuele Parisi, Orazio M. Scicolone, Santa Di Cataldo, Elisa Ficarra:
BioSeqZip: a collapser of NGS redundant reads for the optimization of sequence analysis. Bioinform. 36(9): 2705-2711 (2020) - [j12]Marta Lovino, Maria Serena Ciaburri, Gianvito Urgese, Santa Di Cataldo, Elisa Ficarra:
DEEPrior: a deep learning tool for the prioritization of gene fusions. Bioinform. 36(10): 3248-3250 (2020) - 2019
- [j11]Lorenzo Bottaccioli, Santa Di Cataldo, Andrea Acquaviva, Edoardo Patti:
Realistic Multi-Scale Modeling of Household Electricity Behaviors. IEEE Access 7: 2467-2489 (2019) - [j10]Yukai Chen, Donkyu Baek, Jaemin Kim, Santa Di Cataldo, Naehyuck Chang, Enrico Macii, Sara Vinco, Massimo Poncino:
A SystemC-AMS Framework for the Design and Simulation of Energy Management in Electric Vehicles. IEEE Access 7: 25779-25791 (2019) - [j9]Alessandro Aliberti, Irene Pupillo, Stefano Terna, Enrico Macii, Santa Di Cataldo, Edoardo Patti, Andrea Acquaviva:
A Multi-Patient Data-Driven Approach to Blood Glucose Prediction. IEEE Access 7: 69311-69325 (2019) - [j8]Donkyu Baek, Yukai Chen, Alberto Bocca, Lorenzo Bottaccioli, Santa Di Cataldo, Valentina Gatteschi, Daniele Jahier Pagliari, Edoardo Patti, Gianvito Urgese, Naehyuck Chang, Alberto Macii, Enrico Macii, Paolo Montuschi, Massimo Poncino:
Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles. IEEE Trans. Veh. Technol. 68(6): 5471-5482 (2019) - 2016
- [j7]Santa Di Cataldo, Simone Tonti, Andrea Bottino, Elisa Ficarra:
ANAlyte: A modular image analysis tool for ANA testing with indirect immunofluorescence. Comput. Methods Programs Biomed. 128: 86-99 (2016) - 2015
- [j6]Simone Tonti, Santa Di Cataldo, Andrea Bottino, Elisa Ficarra:
An automated approach to the segmentation of HEp-2 cells for the indirect immunofluorescence ANA test. Comput. Medical Imaging Graph. 40: 62-69 (2015) - 2014
- [j5]Santa Di Cataldo, Andrea Bottino, Ihtesham Ul Islam, Tiago Figueiredo Vieira, Elisa Ficarra:
Subclass Discriminant Analysis of morphological and textural features for HEp-2 staining pattern classification. Pattern Recognit. 47(7): 2389-2399 (2014) - 2012
- [j4]Santa Di Cataldo, Elisa Ficarra, Enrico Macii:
Computer-aided techniques for chromogenic immunohistochemistry: Status and directions. Comput. Biol. Medicine 42(10): 1012-1025 (2012) - 2011
- [j3]Elisa Ficarra, Santa Di Cataldo, Andrea Acquaviva, Enrico Macii:
Automated Segmentation of Cells With IHC Membrane Staining. IEEE Trans. Biomed. Eng. 58(5): 1421-1429 (2011) - 2010
- [j2]Santa Di Cataldo, Elisa Ficarra, Andrea Acquaviva, Enrico Macii:
Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: A quantitative evaluation. Comput. Medical Imaging Graph. 34(6): 453-461 (2010) - [j1]Santa Di Cataldo, Elisa Ficarra, Andrea Acquaviva, Enrico Macii:
Automated segmentation of tissue images for computerized IHC analysis. Comput. Methods Programs Biomed. 100(1): 1-15 (2010)
Conference and Workshop Papers
- 2024
- [c27]Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi:
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge. DAC 2024: 235:1-235:6 - [c26]Khaled Sidahmed Sidahmed Alamin, Davide Appello, Alessandro Beghi, Nicola Dall'Ora, Fabio Depaoli, Santa Di Cataldo, Franco Fummi, Sebastiano Gaiardelli, Michele Lora, Enrico Macii, Alessio Mascolini, Daniele Pagano, Francesco Ponzio, Gian Antonio Susto, Sara Vinco:
An AI-Enabled Framework for Smart Semiconductor Manufacturing. DATE 2024: 1-6 - [c25]Fabio Depaoli, Stefano Felicioni, Francesco Ponzio, Alessandro Aliberti, Enrico Macii, Federica Bondioli, Elisa Padovano, Santa Di Cataldo:
Physics-Informed Neural Networks: A Step Towards Data-Driven Optimization of Additive Manufacturing. ETFA 2024: 1-4 - [c24]Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Franco Fummi, Santa Di Cataldo, Sara Vinco:
A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring. ICIT 2024: 1-8 - 2023
- [c23]Rafael Natalio Fontana Crespo, Davide Cannizzaro, Lorenzo Bottaccioli, Enrico Macii, Edoardo Patti, Santa Di Cataldo:
A Distributed Software Platform for Additive Manufacturing. ETFA 2023: 1-4 - [c22]Luigi Capogrosso, Alessio Mascolini, Federico Girella, Geri Skenderi, Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Santa Di Cataldo, Sara Vinco, Enrico Macii, Franco Fummi, Marco Cristani:
Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper. FDL 2023: 1-4 - [c21]Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi:
Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line. IECON 2023: 1-7 - 2022
- [c20]Davide Cannizzaro, Filomena Simone, Klaus Illgner-Fehns, Sara Mata, Ivan Mondino, Alberto Ghiazza, Massimo Poncino, Santa Di Cataldo:
Quality inspection of critical aircraft engine components: towards full automation. ETFA 2022: 1-4 - [c19]Alessio Mascolini, Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
High Resolution Explanation Maps for CNNs using Segmentation Networks. VL/HCC 2022: 1-3 - 2021
- [c18]Davide Cannizzaro, Antonio Giuseppe Varrella, Stefano Paradiso, Roberta Sampieri, Enrico Macii, Edoardo Patti, Santa Di Cataldo:
Image analytics and machine learning for in-situ defects detection in Additive Manufacturing. DATE 2021: 603-608 - [c17]Valerio Mieuli, Francesco Ponzio, Alessio Mascolini, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
A Bayesian approach to Expert Gate Incremental Learning. IJCNN 2021: 1-7 - 2020
- [c16]Francesco Ponzio, Giacomo Deodato, Enrico Macii, Santa Di Cataldo, Elisa Ficarra:
Exploiting "Uncertain" Deep Networks for Data Cleaning in Digital Pathology. ISBI 2020: 1139-1143 - 2018
- [c15]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study. BIOIMAGING 2018: 58-66 - [c14]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
Going Deeper into Colorectal Cancer Histopathology. BIOSTEC (Selected Papers) 2018: 114-131 - [c13]Marta Lovino, Gianvito Urgese, Enrico Macii, Santa Di Cataldo, Elisa Ficarra:
Predicting the Oncogenic Potential of Gene Fusions Using Convolutional Neural Networks. CIBB 2018: 277-284 - 2017
- [c12]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems - Integrating MR and US for Minimally Invasive Neuroimaging. BIOIMAGING 2017: 114-121 - [c11]Alessio Mascolini, S. Puzzo, G. Incatasciato, Francesco Ponzio, Elisa Ficarra, Santa Di Cataldo:
A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images. IIH-MSP (1) 2017: 125-136 - 2016
- [c10]Santa Di Cataldo, Simone Tonti, Elisa Ciglieri, Francesco Ferrini, Enrico Macii, Elisa Ficarra, Chiara Salio:
Automated 3D immunofluorescence analysis of Dorsal Root Ganglia for the investigation of neural circuit alterations: a preliminary study. FedCSIS (Position Papers) 2016: 65-70 - 2015
- [c9]Simone Tonti, Santa Di Cataldo, Enrico Macii, Elisa Ficarra:
Unsupervised HEp-2 mitosis recognition in indirect immunofluorescence imaging. EMBC 2015: 8135-8138 - 2013
- [c8]Ihtesham Ul Islam, Santa Di Cataldo, Andrea Bottino, Elisa Ficarra, Enrico Macii:
Classification of HEp-2 Staining Patterns in ImmunoFluorescence Images - Comparison of Support Vector Machines and Subclass Discriminant Analysis Strategies. BIOINFORMATICS 2013: 53-61 - [c7]Ihtesham Ul Islam, Santa Di Cataldo, Andrea Bottino, Enrico Macii, Elisa Ficarra:
A Preliminary Analysis on HEp-2 Pattern Classification: Evaluating Strategies Based on Support Vector Machines and Subclass Discriminant Analysis. BIOSTEC (Selected Papers) 2013: 176-190 - 2012
- [c6]Santa Di Cataldo, Andrea Bottino, Elisa Ficarra, Enrico Macii:
Applying textural features to the classification of HEp-2 cell patterns in IIF images. ICPR 2012: 3349-3352 - 2011
- [c5]Santa Di Cataldo, Elisa Ficarra, Andrea Acquaviva, Enrico Macii:
Motion Artifact Correction in ASL images: An Improved Automated Procedure. BIBM 2011: 410-413 - 2008
- [c4]Santa Di Cataldo, Elisa Ficarra, Andrea Acquaviva, Enrico Macii:
Segmentation of nuclei in cancer tissue images: Contrasting active contours with morphology-based approach. BIBE 2008: 1-6 - [c3]Santa Di Cataldo, Elisa Ficarra, Enrico Macii:
Fully-Automated Segmentation of Tumor Areas in Tissue Confocal Images - Comparison between a Custom Unsupervised and a Supervised SVM Approach. BIOSIGNALS (1) 2008: 116-123 - [c2]Santa Di Cataldo, Elisa Ficarra, Enrico Macii:
Automated Discrimination of Pathological Regions in Tissue Images: Unsupervised Clustering vs. Supervised SVM Classification. BIOSTEC (Selected Papers) 2008: 344-356 - 2007
- [c1]Santa Di Cataldo, Elisa Ficarra, Enrico Macii:
Selection of Tumor Areas and Segmentation of Nuclear Membranes in Tissue Confocal Images: A Fully Automated Approach. BIBM 2007: 390-398
Informal and Other Publications
- 2024
- [i4]Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi:
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge. CoRR abs/2409.14816 (2024) - 2023
- [i3]Luigi Capogrosso, Alessio Mascolini, Federico Girella, Geri Skenderi, Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Santa Di Cataldo, Sara Vinco, Enrico Macii, Franco Fummi, Marco Cristani:
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0. CoRR abs/2307.06975 (2023) - 2021
- [i2]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. CoRR abs/2103.13107 (2021) - [i1]Alessio Mascolini, Dario Cardamone, Francesco Ponzio, Santa Di Cataldo, Elisa Ficarra:
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study. CoRR abs/2107.07761 (2021)
Coauthor Index
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