| 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 | 262 | 2019 |
| 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 | 170 | 2010 |
| MedGA: a novel evolutionary method for image enhancement in medical imaging systems L Rundo, A Tangherloni, MS Nobile, C Militello, D Besozzi, G Mauri, ... Expert Systems with Applications 119, 387-399, 2019 | 128 | 2019 |
| Radiosensitizing effect of curcumin-loaded lipid nanoparticles in breast cancer cells L Minafra, N Porcino, V Bravatà, D Gaglio, M Bonanomi, E Amore, ... Scientific reports 9 (1), 11134, 2019 | 87 | 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 | 64 | 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 | 64 | 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 | 58 | 2020 |
| 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 | 55 | 2019 |
| 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 | 55 | 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 |
| Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering C Militello, L Rundo, M Dimarco, A Orlando, V Conti, R Woitek, I D’Angelo, ... Biomedical Signal Processing and Control 71, 103113, 2022 | 53 | 2022 |
| 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 |
| 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 | 52 | 2017 |
| 3D DCE-MRI radiomic analysis for malignant lesion prediction in breast cancer patients C Militello, L Rundo, M Dimarco, A Orlando, R Woitek, I D'Angelo, ... Academic Radiology 29 (6), 830-840, 2022 | 49 | 2022 |
| Multimodal medical image registration using particle swarm optimization: A review L Rundo, A Tangherloni, C Militello, MC Gilardi, G Mauri 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 48 | 2016 |
| Fingerprint classification based on deep learning approaches: experimental findings and comparisons C Militello, L Rundo, S Vitabile, V Conti Symmetry 13 (5), 750, 2021 | 47 | 2021 |
| Introducing pseudo-singularity points for efficient fingerprints classification and recognition V Conti, C Militello, S Vitabile, F Sorbello 2010 International Conference on Complex, Intelligent and Software Intensive …, 2010 | 47 | 2010 |
| CNN-based prostate zonal segmentation on T2-weighted MR images: a cross-dataset study L Rundo, C Han, J Zhang, R Hataya, Y Nagano, C Militello, C Ferretti, ... Neural Approaches to Dynamics of Signal Exchanges, 269-280, 2020 | 46 | 2020 |
| GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model L Rundo, C Militello, G Russo, S Vitabile, MC Gilardi, G Mauri Natural Computing 17, 521-536, 2018 | 42 | 2018 |
| Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C‐Means clustering C Militello, L Rundo, S Vitabile, G Russo, P Pisciotta, F Marletta, M Ippolito, ... International Journal of Imaging Systems and Technology 25 (3), 213-225, 2015 | 42 | 2015 |
Salvatore VitabileUniversity of Palermo, Italy確認したメール アドレス: unipa.it
