Santa Di Cataldo

发表

Exploiting “Uncertain” Deep Networks for Data Cleaning in Digital Pathology

Enrico Macii, Elisa Ficarra, Francesco Ponzio, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Applying textural features to the classification of HEp-2 cell patterns in IIF images

Enrico Macii, Elisa Ficarra, Andrea Bottino, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Low-Overhead Adaptive Brightness Scaling for Energy Reduction in OLED Displays

Enrico Macii, Alberto Macii, Edoardo Patti, 2019, IEEE Transactions on Emerging Topics in Computing.

Automated 3D immunofluorescence analysis of Dorsal Root Ganglia for the investigation of neural circuit alterations: a preliminary study

Enrico Macii, Elisa Ficarra, Santa Di Cataldo, 2016, FedCSIS.

Fully-Automated Segmentation of Tumor Areas in Tissue Confocal Images - Comparison between a Custom Unsupervised and a Supervised SVM Approach

Enrico Macii, Elisa Ficarra, Santa Di Cataldo, 2008, BIOSIGNALS.

Segmentation of nuclei in cancer tissue images: Contrasting active contours with morphology-based approach

Enrico Macii, Andrea Acquaviva, Elisa Ficarra, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

A Preliminary Analysis on HEp-2 Pattern Classification: Evaluating Strategies Based on Support Vector Machines and Subclass Discriminant Analysis

Enrico Macii, Elisa Ficarra, Andrea Bottino, 2013, BIOSTEC.

DEEPrior: a deep learning tool for the prioritization of gene fusions

Elisa Ficarra, Gianvito Urgese, Santa Di Cataldo, 2020, Bioinform..

Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study

Enrico Macii, Elisa Ficarra, Francesco Ponzio, 2018, BIOIMAGING.

Repository ISTITUZIONALE

Enrico Macii, Elisa Ficarra, Santa Di Cataldo, 2022 .

Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology

Elisa Ficarra, Gianvito Urgese, Francesco Ponzio, 2019, Electronics.

Flexible On-Line Reconfiguration of Multi-Core Neuromorphic Platforms

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2019, IEEE Transactions on Emerging Topics in Computing.

Automated segmentation of tissue images for computerized IHC analysis

Enrico Macii, Andrea Acquaviva, Elisa Ficarra, 2022 .

ANAlyte: A modular image analysis tool for ANA testing with indirect immunofluorescence

Elisa Ficarra, Andrea Bottino, Santa Di Cataldo, 2016, Comput. Methods Programs Biomed..

Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles

Naehyuck Chang, Enrico Macii, Massimo Poncino, 2019, IEEE Transactions on Vehicular Technology.

A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images

Elisa Ficarra, Francesco Ponzio, Santa Di Cataldo, 2017, IIH-MSP.

Going Deeper into Colorectal Cancer Histopathology

Enrico Macii, Elisa Ficarra, Francesco Ponzio, 2018, BIOSTEC.

Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: A quantitative evaluation

Enrico Macii, Andrea Acquaviva, Elisa Ficarra, 2010, Comput. Medical Imaging Graph..

An automated approach to the segmentation of HEp-2 cells for the indirect immunofluorescence ANA test

Elisa Ficarra, Andrea Bottino, Santa Di Cataldo, 2015, Comput. Medical Imaging Graph..

Subclass Discriminant Analysis of morphological and textural features for HEp-2 staining pattern classification

Elisa Ficarra, Andrea Bottino, Ihtesham Ul Islam, 2014, Pattern Recognit..

BioSeqZip: a collapser of NGS redundant reads for the optimization of sequence analysis

Elisa Ficarra, Gianvito Urgese, Santa Di Cataldo, 2020, Bioinform..

A Non-Linear Autoregressive Model for Indoor Air-Temperature Predictions in Smart Buildings

Enrico Macii, Andrea Acquaviva, Edoardo Patti, 2019, Electronics.

A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems - Integrating MR and US for Minimally Invasive Neuroimaging

Enrico Macii, Elisa Ficarra, Francesco Ponzio, 2017, BIOIMAGING.

Automated Discrimination of Pathological Regions in Tissue Images: Unsupervised Clustering vs. Supervised SVM Classification

Enrico Macii, Elisa Ficarra, Santa Di Cataldo, 2008, BIOSTEC.

Automated Segmentation of Cells With IHC Membrane Staining

Enrico Macii, Andrea Acquaviva, Elisa Ficarra, 2011, IEEE Transactions on Biomedical Engineering.

Predicting the Oncogenic Potential of Gene Fusions Using Convolutional Neural Networks

Enrico Macii, Elisa Ficarra, Gianvito Urgese, 2018, CIBB.

Classification of HEp-2 Staining Patterns in ImmunoFluorescence Images - Comparison of Support Vector Machines and Subclass Discriminant Analysis Strategies

Enrico Macii, Elisa Ficarra, Andrea Bottino, 2013, BIOINFORMATICS.

Motion Artifact Correction in ASL images: An Improved Automated Procedure

Enrico Macii, Andrea Acquaviva, Elisa Ficarra, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

Selection of Tumor Areas and Segmentation of Nuclear Membranes in Tissue Confocal Images: A Fully Automated Approach

Enrico Macii, Elisa Ficarra, Santa Di Cataldo, 2007, 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007).

Unsupervised HEp-2 mitosis recognition in indirect immunofluorescence imaging

Enrico Macii, Elisa Ficarra, Santa Di Cataldo, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

In-Situ Monitoring of Additive Manufacturing

Enrico Macii, Massimo Poncino, Edoardo Patti, 2021 .

Image analytics and machine learning for in-situ defects detection in Additive Manufacturing

Enrico Macii, Edoardo Patti, Santa Di Cataldo, 2021, 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Leading Information and Communication Technologies for Smart Manufacturing: Facing the New Challenges and Opportunities of the 4th Industrial Revolution

Birgit Vogel-Heuser, Enrico Macii, Santa Di Cataldo, 2021, Proc. IEEE.

A Bayesian approach to Expert Gate Incremental Learning

Enrico Macii, Elisa Ficarra, Francesco Ponzio, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study pdf

Elisa Ficarra, Francesco Ponzio, Santa Di Cataldo, 2021, ArXiv.