Paola Casti
Paola Casti
Dept. of Electronics Engineering, University of Rome Tor Vergata
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Citata da
Citata da
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
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
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
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
Computer-aided diagnosis of plus disease via measurement of vessel thickness in retinal fundus images of preterm infants
F Oloumi, RM Rangayyan, P Casti, AL Ells
Computers in biology and medicine 66, 316-329, 2015
Automatic detection of the nipple in screen-film and full-field digital mammograms using a novel Hessian-based method
P Casti, A Mencattini, M Salmeri, A Ancona, FF Mangieri, ML Pepe, ...
Journal of digital imaging 26, 948-957, 2013
Learning cancer-related drug efficacy exploiting consensus in coordinated motility within cell clusters
D Di Giuseppe, F Corsi, A Mencattini, MC Comes, P Casti, C Di Natale, ...
IEEE Transactions on Biomedical Engineering 66 (10), 2882-2888, 2019
Automatic breast masses boundary extraction in digital mammography using spatial fuzzy c-means clustering and active contour models
A Mencattini, M Salmeri, P Casti, G Raguso, S L'Abbate, L Chieppa, ...
2011 IEEE International Symposium on Medical Measurements and Applicationsá…, 2011
Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response
M D’Orazio, M Murdocca, A Mencattini, P Casti, J Filippi, G Antonelli, ...
Scientific Reports 12 (1), 8545, 2022
Adaptive classification model based on artificial immune system for breast cancer detection
G Magna, SV Jayaraman, P Casti, A Mencattini, C Di Natale, E Martinelli
2015 XVIII AISEM Annual Conference, 1-4, 2015
Multi-scale generative adversarial network for improved evaluation of cell–cell interactions observed in organ-on-chip experiments
MC Comes, J Filippi, A Mencattini, P Casti, G Cerrato, A Sauvat, ...
Neural Computing and Applications 33, 3671-3689, 2021
Bilateral asymmetry identification for the early detection of breast cancer
A Mencattini, M Salmeri, P Casti
2011 IEEE International Symposium on Medical Measurements and Applicationsá…, 2011
Towards localization of malignant sites of asymmetry across bilateral mammograms
P Casti, A Mencattini, M Salmeri, A Ancona, M Lorusso, ML Pepe, ...
Computer methods and programs in biomedicine 140, 11-18, 2017
Deciphering cancer cell behavior from motility and shape features: Peer prediction and dynamic selection to support cancer diagnosis and therapy
M D'Orazio, F Corsi, A Mencattini, D Di Giuseppe, M Colomba Comes, ...
Frontiers in oncology 10, 580698, 2020
Calibration of vision-based measurement of pain intensity with multiple expert observers
P Casti, A Mencattini, MC Comes, G Callari, D Di Giuseppe, S Natoli, ...
IEEE Transactions on Instrumentation and Measurement 68 (7), 2442-2450, 2019
Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography
A Giovannetti, G Susi, P Casti, A Mencattini, S Pusil, ME Lˇpez, ...
Neural Computing and Applications 33 (21), 14651-14667, 2021
Exploiting spectral information in Opto-Electronic Tweezers for cell classification and drug response evaluation
J Filippi, D Di Giuseppe, P Casti, A Mencattini, G Antonelli, M D’Orazio, ...
Sensors and Actuators B: Chemical 368, 132200, 2022
Accelerating the experimental responses on cell behaviors: a long-term prediction of cell trajectories using Social Generative Adversarial Network
MC Comes, J Filippi, A Mencattini, F Corsi, P Casti, A De Ninno, ...
Scientific Reports 10 (1), 15635, 2020
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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