| 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 | 323 | 2019 |
| Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization MS Nobile, P Cazzaniga, D Besozzi, R Colombo, G Mauri, G Pasi Swarm and evolutionary computation 39, 70-85, 2018 | 305 | 2018 |
| Graphics processing units in bioinformatics, computational biology and systems biology MS Nobile, P Cazzaniga, A Tangherloni, D Besozzi Briefings in bioinformatics 18 (5), 870-885, 2017 | 195 | 2017 |
| 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 | 142 | 2019 |
| Simpful: a user-friendly python library for fuzzy logic S Spolaor, C Fuchs, P Cazzaniga, U Kaymak, D Besozzi, MS Nobile International Journal of Computational Intelligence Systems 13 (1), 1687-1698, 2020 | 94 | 2020 |
| Modelling metapopulations with stochastic membrane systems D Besozzi, P Cazzaniga, D Pescini, G Mauri Biosystems 91 (3), 499-514, 2008 | 72 | 2008 |
| Computational strategies for a system-level understanding of metabolism P Cazzaniga, C Damiani, D Besozzi, R Colombo, MS Nobile, D Gaglio, ... Metabolites 4 (4), 1034-1087, 2014 | 70 | 2014 |
| The impact of particles initialization in PSO: parameter estimation as a case in point P Cazzaniga, MS Nobile, D Besozzi 2015 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2015 | 69 | 2015 |
| A GPU-based multi-swarm PSO method for parameter estimation in stochastic biological systems exploiting discrete-time target series MS Nobile, D Besozzi, P Cazzaniga, G Mauri, D Pescini European Conference on Evolutionary Computation, Machine Learning and Data …, 2012 | 64 | 2012 |
| 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 | 61 | 2019 |
| Modeling and stochastic simulation of the Ras/cAMP/PKA pathway in the yeast Saccharomyces cerevisiae evidences a key regulatory function for intracellular guanine nucleotides pools P Cazzaniga, D Pescini, D Besozzi, G Mauri, S Colombo, E Martegani Journal of biotechnology 133 (3), 377-385, 2008 | 61 | 2008 |
| Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design A Tangherloni, S Spolaor, P Cazzaniga, D Besozzi, L Rundo, G Mauri, ... Applied Soft Computing 81, 105494, 2019 | 58 | 2019 |
| Tau leaping stochastic simulation method in P systems P Cazzaniga, D Pescini, D Besozzi, G Mauri International Workshop on Membrane Computing, 298-313, 2006 | 57 | 2006 |
| GPU-accelerated simulations of mass-action kinetics models with cupSODA MS Nobile, P Cazzaniga, D Besozzi, G Mauri The Journal of Supercomputing 69 (1), 17-24, 2014 | 54 | 2014 |
| cuTauLeaping: A GPU-powered tau-leaping stochastic simulator for massive parallel analyses of biological systems MS Nobile, P Cazzaniga, D Besozzi, D Pescini, G Mauri PLoS One 9 (3), e91963, 2014 | 53 | 2014 |
| Computational intelligence for parameter estimation of biochemical systems MS Nobile, A Tangherloni, L Rundo, S Spolaor, D Besozzi, G Mauri, ... 2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018 | 49 | 2018 |
| A comparison of genetic algorithms and particle swarm optimization for parameter estimation in stochastic biochemical systems D Besozzi, P Cazzaniga, G Mauri, D Pescini, L Vanneschi European Conference on Evolutionary Computation, Machine Learning and Data …, 2009 | 49 | 2009 |
| The role of feedback control mechanisms on the establishment of oscillatory regimes in the Ras/cAMP/PKA pathway in S. cerevisiae D Besozzi, P Cazzaniga, D Pescini, G Mauri, S Colombo, E Martegani EURASIP Journal on Bioinformatics and Systems Biology 2012 (1), 10, 2012 | 48 | 2012 |
| Simulation of the Ras/cAMP/PKA pathway in budding yeast highlights the establishment of stable oscillatory states D Pescini, P Cazzaniga, D Besozzi, G Mauri, L Amigoni, S Colombo, ... Biotechnology advances 30 (1), 99-107, 2012 | 40 | 2012 |
| Proactive particles in swarm optimization: a self-tuning algorithm based on fuzzy logic MS Nobile, G Pasi, P Cazzaniga, D Besozzi, R Colombo, G Mauri 2015 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2015 | 38 | 2015 |
Daniela BesozziAssociate Professor, University of Milano-BicoccaVerified email at unimib.it
