Arianna Mencattini
Orcid: 0000-0002-3753-0457Affiliations:
- University of Rome Tor Vergata, Department of Electronics Engineering, Italy
According to our database1,
Arianna Mencattini
authored at least 65 papers
between 2001 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder algorithm to discriminate tumor cell lines in time-lapse microscopy images.
Expert Syst. Appl., December, 2023
Uncertainty-Based Feature Selection for Improved Adequacy of Dermoscopic Image Classification.
IEEE Trans. Instrum. Meas., 2023
2022
Electro-Optical Classification of Pollen Grains via Microfluidics and Machine Learning.
IEEE Trans. Biomed. Eng., 2022
Bioinform., 2022
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
Sensitivity analysis of latent variables in Variational Autoencoders for Dermoscopic Image Analysis.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
2021
Metrological Characterization of a Pain Detection System Based on Transfer Entropy of Facial Landmarks.
IEEE Trans. Instrum. Meas., 2021
Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death.
PLoS Comput. Biol., 2021
NeuriTES. Monitoring neurite changes through transfer entropy and semantic segmentation in bright-field time-lapse microscopy.
Patterns, 2021
Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer's disease with magnetoencephalography.
Neural Comput. Appl., 2021
Multi-scale generative adversarial network for improved evaluation of cell-cell interactions observed in organ-on-chip experiments.
Neural Comput. Appl., 2021
Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments.
Medical Image Anal., 2021
Integrating Machine Learning and Sensors for the Development of Organ-on-Chip Platforms for Medical Diagnosis.
Proceedings of the Sensors and Microsystems - Proceedings of AISEM 2021, 2021
2020
A Camera Sensors-Based System to Study Drug Effects on In Vitro Motility: The Case of PC-3 Prostate Cancer Cells.
Sensors, 2020
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
2019
Calibration of Vision-Based Measurement of Pain Intensity With Multiple Expert Observers.
IEEE Trans. Instrum. Meas., 2019
The Influence of Uncertainty Contributions on Deep Learning Architectures in Vision-Based Evaluation Systems.
IEEE Trans. Instrum. Meas., 2019
Learning Cancer-Related Drug Efficacy Exploiting Consensus in Coordinated Motility Within Cell Clusters.
IEEE Trans. Biomed. Eng., 2019
Online Feature Selection for Robust Classification of the Microbiological Quality of Traditional Vanilla Cream by Means of Multispectral Imaging.
Sensors, 2019
A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices.
Biomed. Signal Process. Control., 2019
2018
Uncertainty Evaluation of a VBM System for AFM Study of Cell-Cerium Oxide Nanoparticles Interactions.
IEEE Trans. Instrum. Meas., 2018
A closed-form solution to the graph total variation problem for continuous emotion profiling in noisy environment.
Speech Commun., 2018
Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
A Deep Learning Strategy for Vision-Based Evaluation on the Effect of Nanoparticles Exposure.
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018
2017
Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer
Synthesis Lectures on Biomedical Engineering, Morgan & Claypool Publishers, ISBN: 978-3-031-01664-6, 2017
IEEE Trans. Affect. Comput., 2017
Robust classification of biological samples in atomic force microscopy images via multiple filtering cooperation.
Knowl. Based Syst., 2017
Comput. Methods Programs Biomed., 2017
Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures.
Int. J. Comput. Assist. Radiol. Surg., 2017
AFM-based robust image analysis to contrast reversal effects in cell-cerium oxide nanoparticles interactions.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017
2016
Identification of mammography anomalies for breast cancer detection by an ensemble of classification models based on artificial immune system.
Knowl. Based Syst., 2016
Biomed. Signal Process. Control., 2016
2015
Analysis of Structural Similarity in Mammograms for Detection of Bilateral Asymmetry.
IEEE Trans. Medical Imaging, 2015
Image processing from laser scanners for remote diagnostic and virtual fruition of cultural heritage.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
2014
Speech emotion recognition using amplitude modulation parameters and a combined feature selection procedure.
Knowl. Based Syst., 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Development and validation of a fully automated system for detection and diagnosis of mammographic lesions.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
J. Digit. Imaging, 2013
Automatic Detection of the Nipple in Screen-Film and Full-field Digital Mammograms Using a Novel Hessian-Based Method.
J. Digit. Imaging, 2013
Estimation of the breast skin-line in mammograms using multidirectional Gabor filters.
Comput. Biol. Medicine, 2013
Measures of radial correlation and trend for classification of breast masses in mammograms.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Int. J. Comput. Assist. Radiol. Surg., 2012
Characterization of the breast region for computer assisted Tabar masking of paired mammographic images.
Proceedings of CBMS 2012, 2012
2011
Performance evaluation of a region growing procedure for mammographic breast lesion identification.
Comput. Stand. Interfaces, 2011
Features Extraction and Fuzzy Logic based Classification for False Positives Reduction in Mammographic Images.
Proceedings of the MIAD 2011, 2011
2010
Metrological Characterization of a CADx System for the Classification of Breast Masses in Mammograms.
IEEE Trans. Instrum. Meas., 2010
How to Process the Random Part of RFVs: Comparison of Available Methods and New Proposal.
IEEE Trans. Instrum. Meas., 2010
Uncertainty Modeling and Propagation Through RFVs for the Assessment of CADx Systems in Digital Mammography.
IEEE Trans. Instrum. Meas., 2010
IEEE Trans. Instrum. Meas., 2010
Denoising and Enhancement of Mammographic Images under the Assumption of heteroscedastic Additive Noise by an Optimal subband Thresholding.
Int. J. Wavelets Multiresolution Inf. Process., 2010
2008
Mammographic Images Enhancement and Denoising for Breast Cancer Detection Using Dyadic Wavelet Processing.
IEEE Trans. Instrum. Meas., 2008
Subband Variance Computation of homoscedastic Additive Noise in Discrete Dyadic Wavelet Transform.
Int. J. Wavelets Multiresolution Inf. Process., 2008
Breast Mass Segmentation in Mammographic Images by an Effective Region Growing Algorithm.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2008
2007
Proceedings of the FUZZ-IEEE 2007, 2007
2005
Sufficient Conditions to Impose Derivative Constraints on MISO Takagi-Sugeno Fuzzy Logic Systems.
IEEE Trans. Fuzzy Syst., 2005
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005
Proceedings of the 2005 International Conference on Image Processing, 2005
2004
High spectral purity digital direct synthesizer implementation by means of a fuzzy approximator.
Appl. Soft Comput., 2004
Monitoring Methodology for TID Damaging of SDRAM Devices based on Retention Time Analysis.
Proceedings of the 19th IEEE International Symposium on Defect and Fault-Tolerance in VLSI Systems (DFT 2004), 2004
2001
Int. J. Approx. Reason., 2001
Proceedings of the 2001 International Conference on Image Processing, 2001