Selection of Tumor Areas and Segmentation of Nuclear Membranes in Tissue Confocal Images: A Fully Automated Approach. - Santa Di Cataldo; Elisa Ficarra; Enrico Macii (BIBM, 2007)

Segmentation of nuclei in cancer tissue images: Contrasting active contours with morphology-based approach. - Santa Di Cataldo; Elisa Ficarra; Andrea Acquaviva; Enrico Macii (BIBE, 2008)

Fully-Automated Segmentation of Tumor Areas in Tissue Confocal Images - Comparison between a Custom Unsupervised and a Supervised SVM Approach. - Santa Di Cataldo; Elisa Ficarra; Enrico Macii (BIOSIGNALS (1), 2008)

Automated Discrimination of Pathological Regions in Tissue Images: Unsupervised Clustering vs. Supervised SVM Classification. - Santa Di Cataldo; Elisa Ficarra; Enrico Macii (BIOSTEC (Selected Papers), 2008)

Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: A quantitative evaluation. - Santa Di Cataldo; Elisa Ficarra; Andrea Acquaviva; Enrico Macii (Comput. Medical Imaging Graph., 2010)

Automated segmentation of tissue images for computerized IHC analysis. - Santa Di Cataldo; Elisa Ficarra; Andrea Acquaviva; Enrico Macii (Comput. Methods Programs Biomed., 2010)

Motion Artifact Correction in ASL images: An Improved Automated Procedure. - Santa Di Cataldo; Elisa Ficarra; Andrea Acquaviva; Enrico Macii (BIBM, 2011)

Automated Segmentation of Cells With IHC Membrane Staining. - Elisa Ficarra; Santa Di Cataldo; Andrea Acquaviva; Enrico Macii (IEEE Trans. Biomed. Eng., 2011)

Applying textural features to the classification of HEp-2 cell patterns in IIF images. - Santa Di Cataldo; Andrea Bottino; Elisa Ficarra; Enrico Macii (ICPR, 2012)

Computer-aided techniques for chromogenic immunohistochemistry: Status and directions. - Santa Di Cataldo; Elisa Ficarra; Enrico Macii (Comput. Biol. Medicine, 2012)

Classification of HEp-2 Staining Patterns in ImmunoFluorescence Images - Comparison of Support Vector Machines and Subclass Discriminant Analysis Strategies. - Ihtesham Ul Islam; Santa Di Cataldo; Andrea Bottino; Elisa Ficarra; Enrico Macii (BIOINFORMATICS, 2013)

A Preliminary Analysis on HEp-2 Pattern Classification: Evaluating Strategies Based on Support Vector Machines and Subclass Discriminant Analysis. - Ihtesham Ul Islam; Santa Di Cataldo; Andrea Bottino; Enrico Macii; Elisa Ficarra (BIOSTEC (Selected Papers), 2013)

Subclass Discriminant Analysis of morphological and textural features for HEp-2 staining pattern classification. - Santa Di Cataldo; Andrea Bottino; Ihtesham Ul Islam; Tiago Figueiredo Vieira; Elisa Ficarra (Pattern Recognit., 2014)

Unsupervised HEp-2 mitosis recognition in indirect immunofluorescence imaging. - Simone Tonti; Santa Di Cataldo; Enrico Macii; Elisa Ficarra (EMBC, 2015)

An automated approach to the segmentation of HEp-2 cells for the indirect immunofluorescence ANA test. - Simone Tonti; Santa Di Cataldo; Andrea Bottino; Elisa Ficarra (Comput. Medical Imaging Graph., 2015)

Image Processing Techniques for Histopathology. - Santa Di Cataldo (2015)

Automated 3D immunofluorescence analysis of Dorsal Root Ganglia for the investigation of neural circuit alterations: a preliminary study. - Santa Di Cataldo; Simone Tonti; Elisa Ciglieri; Francesco Ferrini; Enrico Macii; Elisa Ficarra; Chiara Salio (FedCSIS (Position Papers), 2016)

ANAlyte: A modular image analysis tool for ANA testing with indirect immunofluorescence. - Santa Di Cataldo; Simone Tonti; Andrea Bottino; Elisa Ficarra (Comput. Methods Programs Biomed., 2016)

A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems - Integrating MR and US for Minimally Invasive Neuroimaging. - Francesco Ponzio; Enrico Macii; Elisa Ficarra; Santa Di Cataldo (BIOIMAGING, 2017)

A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images. - Alessio Mascolini; S. Puzzo; G. Incatasciato; Francesco Ponzio; Elisa Ficarra; Santa Di Cataldo (IIH-MSP (1), 2017)

Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study. - Francesco Ponzio; Enrico Macii; Elisa Ficarra; Santa Di Cataldo (BIOIMAGING, 2018)

Going Deeper into Colorectal Cancer Histopathology. - Francesco Ponzio; Enrico Macii; Elisa Ficarra; Santa Di Cataldo (BIOSTEC (Selected Papers), 2018)

Predicting the Oncogenic Potential of Gene Fusions Using Convolutional Neural Networks. - Marta Lovino; Gianvito Urgese; Enrico Macii; Santa Di Cataldo; Elisa Ficarra (CIBB, 2018)

A Multi-Patient Data-Driven Approach to Blood Glucose Prediction. - Alessandro Aliberti; Irene Pupillo; Stefano Terna; Enrico Macii; Santa Di Cataldo; Edoardo Patti; Andrea Acquaviva (IEEE Access, 2019)

Realistic Multi-Scale Modeling of Household Electricity Behaviors. - Lorenzo Bottaccioli; Santa Di Cataldo; Andrea Acquaviva; Edoardo Patti (IEEE Access, 2019)

A SystemC-AMS Framework for the Design and Simulation of Energy Management in Electric Vehicles. - Yukai Chen; Donkyu Baek; Jaemin Kim; Santa Di Cataldo; Naehyuck Chang; Enrico Macii; Sara Vinco; Massimo Poncino (IEEE Access, 2019)

Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles. - 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; et al. (IEEE Trans. Veh. Technol., 2019)

Exploiting "Uncertain" Deep Networks for Data Cleaning in Digital Pathology. - Francesco Ponzio; Giacomo Deodato; Enrico Macii; Santa Di Cataldo; Elisa Ficarra (ISBI, 2020)

DEEPrior: a deep learning tool for the prioritization of gene fusions. - Marta Lovino; Maria Serena Ciaburri; Gianvito Urgese; Santa Di Cataldo; Elisa Ficarra (Bioinform., 2020)

BioSeqZip: a collapser of NGS redundant reads for the optimization of sequence analysis. - Gianvito Urgese; Emanuele Parisi; Orazio M. Scicolone; Santa Di Cataldo; Elisa Ficarra (Bioinform., 2020)

Image analytics and machine learning for in-situ defects detection in Additive Manufacturing. - Davide Cannizzaro; Antonio Giuseppe Varrella; Stefano Paradiso; Roberta Sampieri; Enrico Macii; Edoardo Patti; Santa Di Cataldo (DATE, 2021)

A Bayesian approach to Expert Gate Incremental Learning. - Valerio Mieuli; Francesco Ponzio; Alessio Mascolini; Enrico Macii; Elisa Ficarra; Santa Di Cataldo (IJCNN, 2021)

Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study. - Alessio Mascolini; Dario Cardamone; Francesco Ponzio; Santa Di Cataldo; Elisa Ficarra (CoRR, 2021)

Leading Information and Communication Technologies for Smart Manufacturing: Facing the New Challenges and Opportunities of the 4th Industrial Revolution. - Santa Di Cataldo; Sukhan Lee 001; Enrico Macii; Birgit Vogel-Heuser (Proc. IEEE, 2021)

Optimizing Quality Inspection and Control in Powder Bed Metal Additive Manufacturing: Challenges and Research Directions. - Santa Di Cataldo; Sara Vinco; Gianvito Urgese; Flaviana Calignano; Elisa Ficarra; Alberto Macii; Enrico Macii (Proc. IEEE, 2021)

Flexible On-Line Reconfiguration of Multi-Core Neuromorphic Platforms. - Francesco Barchi; Gianvito Urgese; Alessandro Siino; Santa Di Cataldo; Enrico Macii; Andrea Acquaviva (IEEE Trans. Emerg. Top. Comput., 2021)

Low-Overhead Adaptive Brightness Scaling for Energy Reduction in OLED Displays. - Daniele Jahier Pagliari; Santa Di Cataldo; Edoardo Patti; Alberto Macii; Enrico Macii; Massimo Poncino (IEEE Trans. Emerg. Top. Comput., 2021)

Quality inspection of critical aircraft engine components: towards full automation. - Davide Cannizzaro; Filomena Simone; Klaus Illgner-Fehns; Sara Mata; Ivan Mondino; Alberto Ghiazza; Massimo Poncino; Santa Di Cataldo (ETFA, 2022)

High Resolution Explanation Maps for CNNs using Segmentation Networks. - Alessio Mascolini; Francesco Ponzio; Enrico Macii; Elisa Ficarra; Santa Di Cataldo (VL/HCC, 2022)

e-Pupil: IoT-Based Augmentative and Alternative Communication Device Exploiting the Pupillary Near-Reflex. - Giovanni Chiarion; Francesco Ponzio; Stefano Terna; Cristina Moglia; Edoardo Patti; Santa Di Cataldo; Silvestro Roatta (IEEE Access, 2022)

Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations. - Alessio Mascolini; Dario Cardamone; Francesco Ponzio; Santa Di Cataldo; Elisa Ficarra (BMC Bioinform., 2022)

In-Situ Defect Detection of Metal Additive Manufacturing: An Integrated Framework. - Davide Cannizzaro; Antonio Giuseppe Varrella; Stefano Paradiso; Roberta Sampieri; Yukai Chen; Alberto Macii; Edoardo Patti; Santa Di Cataldo (IEEE Trans. Emerg. Top. Comput., 2022)

A Distributed Software Platform for Additive Manufacturing. - Rafael Natalio Fontana Crespo; Davide Cannizzaro; Lorenzo Bottaccioli; Enrico Macii; Edoardo Patti; Santa Di Cataldo (ETFA, 2023)

Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper. - 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; et al. (FDL, 2023)

Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line. - Alessio Mascolini; Sebastiano Gaiardelli; Francesco Ponzio; Nicola Dall'Ora; Enrico Macii; Sara Vinco; Santa Di Cataldo; Franco Fummi (IECON, 2023)

Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0. - 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; et al. (CoRR, 2023)

W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. - Francesco Ponzio; Enrico Macii; Elisa Ficarra; Santa Di Cataldo (Expert Syst. Appl., 2023)

VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge. - Alessio Mascolini; Sebastiano Gaiardelli; Francesco Ponzio; Nicola Dall'Ora; Enrico Macii; Sara Vinco; Santa Di Cataldo; Franco Fummi (DAC, 2024)

An AI-Enabled Framework for Smart Semiconductor Manufacturing. - 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; et al. (DATE, 2024)

Physics-Informed Neural Networks: A Step Towards Data-Driven Optimization of Additive Manufacturing. - Fabio Depaoli; Stefano Felicioni; Francesco Ponzio; Alessandro Aliberti; Enrico Macii; Federica Bondioli; Elisa Padovano; Santa Di Cataldo (ETFA, 2024)

A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring. - Sebastiano Gaiardelli; Nicola Dall'Ora; Francesco Ponzio; Enrico Fraccaroli; Franco Fummi; Santa Di Cataldo; Sara Vinco (ICIT, 2024)

Renal Cell Carcinoma subtyping: learning from multi-resolution localization. - Mohamad Mohamad; Francesco Ponzio; Santa Di Cataldo; Damien Ambrosetti; Xavier Descombes (CoRR, 2024)

Machine learning-enabled real-time anomaly detection for electron beam powder bed fusion additive manufacturing. - Davide Cannizzaro; Paolo Antonioni; Francesco Ponzio; Manuela Galati; Edoardo Patti; Santa Di Cataldo (J. Intell. Manuf., 2025)