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Artificial Intelligence in Medicine|December 5, 2024
Automatic classification of HEp-2 specimens by explainable deep learning and Jensen-Shannon reliability indexA Mencattini, T Tocci, M Nuccetelli, et al.Computers in Biology and Medicine|November 12, 2013
Estimation of the breast skin-line in mammograms using multidirectional Gabor filtersP Casti, A Mencattini, M Salmeri, et al.Computer Methods and Programs in Biomedicine|March 4, 2017
Towards localization of malignant sites of asymmetry across bilateral mammogramsP Casti, A Mencattini, M Salmeri, et al.Scientific Reports|May 3, 2019
The influence of spatial and temporal resolutions on the analysis of cell-cell interaction: a systematic study for time-lapse microscopy applicationsM C Comes, P Casti, A Mencattini, et al.Scientific Reports|May 20, 2022
Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-responseM D'Orazio, M Murdocca, A Mencattini, et al.Scientific Reports|May 8, 2020
Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatmentsA Mencattini, D Di Giuseppe, M C Comes, et al.Scientific Reports|September 25, 2020
Accelerating the experimental responses on cell behaviors: a long-term prediction of cell trajectories using Social Generative Adversarial NetworkMaria Colomba Comes, J Filippi, A Mencattini, et al.Communications Biology|March 3, 2023
Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysisA Mencattini, M D'Orazio, P Casti, et al.Pageof 1