Carmelo Militello
Orcid: 0000-0003-2249-9538
According to our database1,
Carmelo Militello
authored at least 50 papers
between 2001 and 2023.
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Bibliography
2023
Cogn. Comput., January, 2023
Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images.
J. Imaging, 2023
Explainable Machine-Learning Models for COVID-19 Prognosis Prediction Using Clinical, Laboratory and Radiomic Features.
IEEE Access, 2023
2022
Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering.
Biomed. Signal Process. Control., 2022
2021
A Novel Bio-Inspired Approach for High-Performance Management in Service-Oriented Networks.
IEEE Trans. Emerg. Top. Comput., 2021
Fingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons.
Symmetry, 2021
A Computational Study on Temperature Variations in MRgFUS Treatments Using PRF Thermometry Techniques and Optical Probes.
J. Imaging, 2021
A multimodal retina-iris biometric system using the Levenshtein distance for spatial feature comparison.
IET Biom., 2021
2020
CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation.
Symmetry, 2020
A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration.
Fundam. Informaticae, 2020
2019
Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis.
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets.
Neurocomputing, 2019
Expert Syst. Appl., 2019
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study.
CoRR, 2019
Comput. Methods Programs Biomed., 2019
A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans.
Comput. Biol. Medicine, 2019
2018
Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model.
Nat. Comput., 2018
NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique.
Int. J. Imaging Syst. Technol., 2018
2017
Resource-Efficient Hardware Implementation of a Neural-based Node for Automatic Fingerprint Classification.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2017
Automated Prostate Gland Segmentation Based on an Unsupervised Fuzzy C-Means Clustering Technique Using Multispectral T1w and T2w MR Imaging.
Inf., 2017
A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning.
Comput. Methods Programs Biomed., 2017
Area-based cell colony surviving fraction evaluation: A novel fully automatic approach using general-purpose acquisition hardware.
Comput. Biol. Medicine, 2017
2016
Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016
Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments.
Medical Biol. Eng. Comput., 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Neuro-Radiosurgery Treatments: MRI Brain Tumor Seeded Image Segmentation Based on a Cellular Automata Model.
Proceedings of the Cellular Automata, 2016
2015
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015
Knowl. Eng. Rev., 2015
Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering.
Int. J. Imaging Syst. Technol., 2015
A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation.
Comput. Biol. Medicine, 2015
2014
A fast fusion technique for fingerprint and iris spatial descriptors in multimodal biometric systems.
Comput. Syst. Sci. Eng., 2014
2013
A Semi-automatic Multi-seed Region-Growing Approach for Uterine Fibroids Segmentation in MRgFUS Treatment.
Proceedings of the Seventh International Conference on Complex, 2013
2011
J. Supercomput., 2011
Proceedings of the 14th International Conference on Network-Based Information Systems, 2011
Proceedings of the International Conference on Complex, 2011
2010
A Frequency-based Approach for Features Fusion in Fingerprint and Iris Multimodal Biometric Identification Systems.
IEEE Trans. Syst. Man Cybern. Part C, 2010
An embedded IRIS recognizer for portable and mobile devices.
Comput. Syst. Sci. Eng., 2010
Introducing Pseudo-Singularity Points for Efficient Fingerprints Classification and Recognition.
Proceedings of the CISIS 2010, 2010
2009
A multimodal technique for an embedded fingerprint recognizer in mobile payment systems.
Mob. Inf. Syst., 2009
Comput. Stand. Interfaces, 2009
Proceedings of the 2009 International Conference on Complex, 2009
A User-Friendly Interface for Fingerprint Recognition Systems Based on Natural Language Processing.
Proceedings of the 2009 International Conference on Complex, 2009
2008
Proceedings of the New Directions in Neural Networks, 2008
Proceedings of the Second International Conference on Complex, 2008
2007
Proceedings of the 2007 International Conference on Intelligent Pervasive Computing, 2007
2001
A Modal Error Indicator Based on a Work-Cancellation Property of Energy-Orthogonal Finite Elements.
Int. J. Comput. Eng. Sci., 2001