Arianna Mencattini
Arianna Mencattini
Dept. of Electronic Engineering, University of Rome Tor Vergata
E-mail megerősítve itt: ing.uniroma2.it
Hivatkozott rá
Hivatkozott rá
Mammographic images enhancement and denoising for breast cancer detection using dyadic wavelet processing
A Mencattini, M Salmeri, R Lojacono, M Frigerio, F Caselli
IEEE transactions on instrumentation and measurement 57 (7), 1422-1430, 2008
3D Microfluidic model for evaluating immunotherapy efficacy by tracking dendritic cell behaviour toward tumor cells
S Parlato, A De Ninno, R Molfetta, E Toschi, D Salerno, A Mencattini, ...
Scientific reports 7 (1), 1093, 2017
Dissecting effects of anti-cancer drugs and cancer-associated fibroblasts by on-chip reconstitution of immunocompetent tumor microenvironments
M Nguyen, A De Ninno, A Mencattini, F Mermet-Meillon, G Fornabaio, ...
Cell reports 25 (13), 3884-3893. e3, 2018
Speech emotion recognition using amplitude modulation parameters and a combined feature selection procedure
A Mencattini, E Martinelli, G Costantini, M Todisco, B Basile, M Bozzali, ...
Knowledge-Based Systems 63, 68-81, 2014
Organs on chip approach: a tool to evaluate cancer-immune cells interactions
E Biselli, E Agliari, A Barra, FR Bertani, A Gerardino, A De Ninno, ...
Scientific reports 7 (1), 12737, 2017
Metrological characterization of a CADx system for the classification of breast masses in mammograms
A Mencattini, M Salmeri, G Rabottino, S Salicone
IEEE transactions on Instrumentation and Measurement 59 (11), 2792-2799, 2010
Polylactic is a sustainable, low absorption, low autofluorescence alternative to other plastics for microfluidic and organ-on-chip applications
AE Ongaro, D Di Giuseppe, A Kermanizadeh, A Miguelez Crespo, ...
Analytical chemistry 92 (9), 6693-6701, 2020
Continuous estimation of emotions in speech by dynamic cooperative speaker models
A Mencattini, E Martinelli, F Ringeval, B Schuller, C Di Natale
IEEE transactions on affective computing 8 (3), 314-327, 2016
Identification of mammography anomalies for breast cancer detection by an ensemble of classification models based on artificial immune system
G Magna, P Casti, SV Jayaraman, M Salmeri, A Mencattini, E Martinelli, ...
Knowledge-Based Systems 101, 60-70, 2016
Breast mass segmentation in mammographic images by an effective region growing algorithm
A Mencattini, G Rabottino, M Salmeri, R Lojacono, E Colini
Advanced Concepts for Intelligent Vision Systems: 10th International …, 2008
Analysis of structural similarity in mammograms for detection of bilateral asymmetry
P Casti, A Mencattini, M Salmeri, RM Rangayyan
IEEE transactions on medical imaging 34 (2), 662-671, 2014
Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments
A Mencattini, D Di Giuseppe, MC Comes, P Casti, F Corsi, FR Bertani, ...
Scientific reports 10 (1), 7653, 2020
Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIs
MC Comes, A Fanizzi, S Bove, V Didonna, S Diotaiuti, D La Forgia, ...
Scientific Reports 11 (1), 14123, 2021
Contour-independent detection and classification of mammographic lesions
P Casti, A Mencattini, M Salmeri, A Ancona, F Mangeri, ML Pepe, ...
Biomedical Signal Processing and Control 25, 165-177, 2016
Noise estimation in digital images using fuzzy processing
M Salmeri, A Mencattini, E Ricci, A Salsano
Proceedings 2001 International Conference on Image Processing (Cat. No …, 2001
Optical detection of aflatoxins B in grained almonds using fluorescence spectroscopy and machine learning algorithms
FR Bertani, L Businaro, L Gambacorta, A Mencattini, D Brenda, ...
Food Control 112, 107073, 2020
Estimation of the breast skin-line in mammograms using multidirectional Gabor filters
P Casti, A Mencattini, M Salmeri, A Ancona, F Mangeri, ML Pepe, ...
Computers in biology and medicine 43 (11), 1870-1881, 2013
The influence of spatial and temporal resolutions on the analysis of cell-cell interaction: a systematic study for time-lapse microscopy applications
MC Comes, P Casti, A Mencattini, D Di Giuseppe, F Mermet-Meillon, ...
Scientific reports 9 (1), 6789, 2019
Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia
V Rizzuto, A Mencattini, B Álvarez-González, D Di Giuseppe, E Martinelli, ...
Scientific Reports 11 (1), 13553, 2021
Early prediction of breast cancer recurrence for patients treated with neoadjuvant chemotherapy: a transfer learning approach on DCE-MRIs
MC Comes, D La Forgia, V Didonna, A Fanizzi, F Giotta, A Latorre, ...
Cancers 13 (10), 2298, 2021
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Cikkek 1–20