| 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 | 327 | 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 | 176 | 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 | 146 | 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 | 107 | 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 | 86 | 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 | 69 | 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 | 66 | 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 | 58 | 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 | 57 | 2016 |
| 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 | 56 | 2014 |
| 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 | 56 | 2008 |
| 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 | 51 | 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 | 46 | 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 | 46 | 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 | 44 | 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 | 43 | 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 | 40 | 2013 |
| 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 | 38 | 2021 |
| 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 | 37 | 2019 |
| 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 | 35 | 2021 |
Eugenio MartinelliFull Professor, Dept. of Electronic Engineering, University of Rome Tor Vergata, ItalyVerified email at ing.uniroma2.it
