Visceral Adiposity Index: a reliable indicator of visceral fat function associated with cardiometabolic risk MC Amato, C Giordano, M Galia, A Criscimanna, S Vitabile, M Midiri, ... Diabetes care 33 (4), 920-922, 2010 | 1783 | 2010 |
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets L Rundo, C Han, Y Nagano, J Zhang, R Hataya, C Militello, A Tangherloni, ... Neurocomputing 365, 31-43, 2019 | 266 | 2019 |
Road signs recognition using a dynamic pixel aggregation technique in the HSV color space S Vitabile, G Pollaccia, G Pilato, F Sorbello Proceedings 11th International Conference on Image Analysis and Processing …, 2001 | 207 | 2001 |
Two-days ahead prediction of daily maximum concentrations of SO2, O3, PM10, NO2, CO in the urban area of Palermo, Italy U Brunelli, V Piazza, L Pignato, F Sorbello, S Vitabile Atmospheric Environment 41 (14), 2967-2995, 2007 | 185 | 2007 |
A frequency-based approach for features fusion in fingerprint and iris multimodal biometric identification systems V Conti, C Militello, F Sorbello, S Vitabile IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010 | 171 | 2010 |
Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine L Rundo, R Pirrone, S Vitabile, E Sala, O Gambino Journal of biomedical informatics 108, 103479, 2020 | 113 | 2020 |
A neural network based automatic road signs recognizer S Vitabile, A Gentile, F Sorbello Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002 | 103 | 2002 |
Medical data processing and analysis for remote health and activities monitoring S Vitabile, M Marks, D Stojanovic, S Pllana, JM Molina, M Krzyszton, ... High-Performance Modelling and Simulation for Big Data Applications …, 2019 | 85 | 2019 |
A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans C Militello, L Rundo, P Toia, V Conti, G Russo, C Filorizzo, E Maffei, ... Computers in biology and medicine 114, 103424, 2019 | 66 | 2019 |
Automated prostate gland segmentation based on an unsupervised fuzzy C-means clustering technique using multispectral T1w and T2w MR imaging L Rundo, C Militello, G Russo, A Garufi, S Vitabile, MC Gilardi, G Mauri Information 8 (2), 49, 2017 | 65 | 2017 |
A survey on nature-inspired medical image analysis: a step further in biomedical data integration L Rundo, C Militello, S Vitabile, G Russo, E Sala, MC Gilardi Fundamenta Informaticae 171 (1-4), 345-365, 2020 | 60 | 2020 |
Fuzzy fusion in multimodal biometric systems V Conti, G Milici, P Ribino, F Sorbello, S Vitabile Knowledge-Based Intelligent Information and Engineering Systems: 11th …, 2007 | 58 | 2007 |
A novel framework for MR image segmentation and quantification by using MedGA L Rundo, A Tangherloni, P Cazzaniga, MS Nobile, G Russo, MC Gilardi, ... Computer methods and programs in biomedicine 176, 159-172, 2019 | 57 | 2019 |
Bright pupil detection in an embedded, real-time drowsiness monitoring system S Vitabile, A De Paola, F Sorbello 2010 24th IEEE International Conference on Advanced Information Networking …, 2010 | 57 | 2010 |
NeXt for neuro‐radiosurgery: a fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique L Rundo, C Militello, A Tangherloni, G Russo, S Vitabile, MC Gilardi, ... International Journal of Imaging Systems and Technology 28 (1), 21-37, 2018 | 56 | 2018 |
Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments L Rundo, C Militello, S Vitabile, C Casarino, G Russo, M Midiri, MC Gilardi Medical & biological engineering & computing 54, 1071-1084, 2016 | 54 | 2016 |
A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning L Rundo, A Stefano, C Militello, G Russo, MG Sabini, C D'Arrigo, ... Computer Methods and Programs in Biomedicine 144, 77-96, 2017 | 53 | 2017 |
An extended JADE-S based framework for developing secure Multi-Agent Systems S Vitabile, V Conti, C Militello, F Sorbello Computer Standards & Interfaces 31 (5), 913-930, 2009 | 53 | 2009 |
Three hours ahead prevision of SO2 pollutant concentration using an Elman neural based forecaster U Brunelli, V Piazza, L Pignato, F Sorbello, S Vitabile Building and Environment 43 (3), 304-314, 2008 | 51 | 2008 |
A yolo-based model for breast cancer detection in mammograms F Prinzi, M Insalaco, A Orlando, S Gaglio, S Vitabile Cognitive Computation 16 (1), 107-120, 2024 | 49 | 2024 |