TANGHERLONI, ANDREA
TANGHERLONI, ANDREA
Dipartimento di Scienze della Computazione
A CUDA-powered method for the feature extraction and unsupervised analysis of medical images
2021 Rundo, Leonardo; Tangherloni, Andrea; Cazzaniga, Paolo; Mistri, Matteo; Galimberti, Simone; Woitek, Ramona; Sala, Evis; Mauri, Giancarlo; Nobile, Marco S.
A deep learning pipeline for the automatic cell type assignment of scRNA-seq data
2022 Riva, Simone G; Myers, Brynelle; Cazzaniga, Paolo; Tangherloni, Andrea
A novel framework for MR image segmentation and quantification by using MedGA
2019 Rundo, Leonardo; Tangherloni, Andrea; Cazzaniga, Paolo; Nobile, Marco S.; Russo, Giorgio; Gilardi, Maria Carla; Vitabile, Salvatore; Mauri, Giancarlo; Besozzi, Daniela; Militello, Carmelo
ACDC: Automated Cell Detection and Counting for time-lapse fluorescence microscopy
2020 Rundo, Leonardo; Tangherloni, Andrea; Tyson, Darren R.; Betta, Riccardo; Militello, Carmelo; Spolaor, Simone; Nobile, Marco S.; Besozzi, Daniela; Lubbock, Alexander L. R.; Quaranta, Vito; Mauri, Giancarlo; Lopez, Carlos F.; Cazzaniga, Paolo
Analysis of single-cell RNA sequencing data based on autoencoders
2021 Tangherloni, Andrea; Ricciuti, Federico; Besozzi, Daniela; Liò, Pietro; Cvejic, Ana
Artificial Intelligence Applied to Medical Imaging and Computational Biology
2022 Rundo, Leoanrdo; Tangherloni, Andrea; Militello, Carmelo
Biochemical parameter estimation vs. benchmark functions: a comparative study of optimization performance and representation design
2019 Tangherloni, Andrea; Spolaor, Simone; Cazzaniga, Paolo; Besozzi, Daniela; Rundo, Leonardo; Mauri, Giancarlo; Nobile, Marco S.
CNN-based prostate zonal segmentation on T2-weighted MR images: a cross-dataset study
2020 Rundo, Leonardo; Han, Changhee; Zhang, Jin; Hataya, Ryuichiro; Nagano, Yudai; Militello, Carmelo; Ferretti, Claudio; Nobile Marco, S.; Tangherloni, Andrea; Gilardi, Maria Carla; Vitabile, Salvatore; Nakayama, Hideki; Mauri, Giancarlo
Computational intelligence for life sciences
2020 Besozzi, Daniela; Manzoni, Luca; Nobile, Marco S.; Spolaor, Simone; Castelli, Mauro; Vanneschi, Leonardo; Cazzaniga, Paolo; Ruberto, Stefano; Rundo, Leonardo; Tangherloni, Andrea
Computational Intelligence for Parameter Estimation of biochemical systems
2018 Nobile, Marco S.; Tangherloni, Andrea; Rundo, Leonardo; Spolaor, Simone; Besozzi, Daniela; Mauri, Giancarlo; Cazzaniga, Paolo
Computer-assisted approaches for uterine fibroid segmentation in MRgFUS treatments: quantitative evaluation and clinical feasibility analysis
2019 Rundo, Leonardo; Militello, Carmelo; Tangherloni, Andrea; Russo, Giorgio; Lagalla, Roberto; Mauri, Giancarlo; Gilardi, Maria Carla; Vitabile, Salvatore
Consensus clustering strategy for cell type assignments of scRNA-seq data
2023 Riva, Simone G.; Myers, Brynelle; Cazzaniga, Paolo; Buffa, Francesca M.; Tangherloni, Andrea
Efficient and settings-free calibration of detailed kinetic metabolic models with enzyme isoforms characterization
2020 Totis, Niccolò; Tangherloni, Andrea; Beccuti, Marco; Cazzaniga, Paolo; Nobile, Marco S.; Besozzi, Daniela; Pennisi, Marzio; Pappalardo, Francesco
Estimation of kinetic reaction constants: exploiting reboot strategies to improve PSO’s performance
2019 Spolaor, Simone; Tangherloni, Andrea; Rundo, Leonardo; Cazzaniga, Paolo; Nobile, Marco S.
FiCoS: a fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks
2021 Tangherloni, Andrea; Nobile, Marco S.; Cazzaniga, Paolo; Capitoli, Giulia; Spolaor, Simone; Rundo, Leonardo; Mauri, Giancarlo; Besozzi, Daniela
GenHap: a novel computational method based on genetic algorithms for haplotype assembly
2019 Tangherloni, Andrea; Spolaor, Simone; Rundo, Leonardo; Nobile, Marco S.; Cazzaniga, Paolo; Mauri, Giancarlo; Liò, Pietro; Merelli, Ivan; Besozzi, Daniela
Gillespie’s Stochastic Simulation Algorithm on MIC coprocessors
2017 Tangherloni, Andrea; Nobile Marco, S.; Cazzaniga, Paolo; Besozzi, Daniela; Mauri, Giancarlo
GPU accelerated analysis of treg-teff cross regulation in relapsing-remitting multiple sclerosis
2019 Beccuti, Marco; Cazzaniga, Paolo; Pennisi, Marzio; Besozzi, Daniela; Nobile, Marco S.; Pernice, Simone; Russo, Giulia; Tangherloni, Andrea; Pappalardo, Francesco
GPU-powered and settings-free parameter estimation of biochemical systems
2016 Nobile, Marco S.; Tangherloni, Andrea; Besozzi, Daniela; Cazzaniga, Paolo
GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values
2016 Tangherloni, Andrea; Nobile, Marco S.; Cazzaniga, Paolo
Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
---|---|---|---|---|
A CUDA-powered method for the feature extraction and unsupervised analysis of medical images | 1-gen-2021 | Rundo, Leonardo; Tangherloni, Andrea; Cazzaniga, Paolo; Mistri, Matteo; Galimberti, Simone; Woitek, Ramona; Sala, Evis; Mauri, Giancarlo; Nobile, Marco S. | THE JOURNAL OF SUPERCOMPUTING | - |
A deep learning pipeline for the automatic cell type assignment of scRNA-seq data | 1-gen-2022 | Riva, Simone G; Myers, Brynelle; Cazzaniga, Paolo; Tangherloni, Andrea | - | (seleziona...) |
A novel framework for MR image segmentation and quantification by using MedGA | 1-gen-2019 | Rundo, Leonardo; Tangherloni, Andrea; Cazzaniga, Paolo; Nobile, Marco S.; Russo, Giorgio; Gilardi, Maria Carla; Vitabile, Salvatore; Mauri, Giancarlo; Besozzi, Daniela; Militello, Carmelo | COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | - |
ACDC: Automated Cell Detection and Counting for time-lapse fluorescence microscopy | 1-gen-2020 | Rundo, Leonardo; Tangherloni, Andrea; Tyson, Darren R.; Betta, Riccardo; Militello, Carmelo; Spolaor, Simone; Nobile, Marco S.; Besozzi, Daniela; Lubbock, Alexander L. R.; Quaranta, Vito; Mauri, Giancarlo; Lopez, Carlos F.; Cazzaniga, Paolo | APPLIED SCIENCES | - |
Analysis of single-cell RNA sequencing data based on autoencoders | 1-gen-2021 | Tangherloni, Andrea; Ricciuti, Federico; Besozzi, Daniela; Liò, Pietro; Cvejic, Ana | BMC BIOINFORMATICS | - |
Artificial Intelligence Applied to Medical Imaging and Computational Biology | 1-gen-2022 | Rundo, Leoanrdo; Tangherloni, Andrea; Militello, Carmelo | APPLIED SCIENCES | - |
Biochemical parameter estimation vs. benchmark functions: a comparative study of optimization performance and representation design | 1-gen-2019 | Tangherloni, Andrea; Spolaor, Simone; Cazzaniga, Paolo; Besozzi, Daniela; Rundo, Leonardo; Mauri, Giancarlo; Nobile, Marco S. | APPLIED SOFT COMPUTING | - |
CNN-based prostate zonal segmentation on T2-weighted MR images: a cross-dataset study | 1-gen-2020 | Rundo, Leonardo; Han, Changhee; Zhang, Jin; Hataya, Ryuichiro; Nagano, Yudai; Militello, Carmelo; Ferretti, Claudio; Nobile Marco, S.; Tangherloni, Andrea; Gilardi, Maria Carla; Vitabile, Salvatore; Nakayama, Hideki; Mauri, Giancarlo | - | Springer |
Computational intelligence for life sciences | 1-gen-2020 | Besozzi, Daniela; Manzoni, Luca; Nobile, Marco S.; Spolaor, Simone; Castelli, Mauro; Vanneschi, Leonardo; Cazzaniga, Paolo; Ruberto, Stefano; Rundo, Leonardo; Tangherloni, Andrea | FUNDAMENTA INFORMATICAE | - |
Computational Intelligence for Parameter Estimation of biochemical systems | 1-gen-2018 | Nobile, Marco S.; Tangherloni, Andrea; Rundo, Leonardo; Spolaor, Simone; Besozzi, Daniela; Mauri, Giancarlo; Cazzaniga, Paolo | - | (seleziona...) |
Computer-assisted approaches for uterine fibroid segmentation in MRgFUS treatments: quantitative evaluation and clinical feasibility analysis | 1-gen-2019 | Rundo, Leonardo; Militello, Carmelo; Tangherloni, Andrea; Russo, Giorgio; Lagalla, Roberto; Mauri, Giancarlo; Gilardi, Maria Carla; Vitabile, Salvatore | - | Springer |
Consensus clustering strategy for cell type assignments of scRNA-seq data | 1-gen-2023 | Riva, Simone G.; Myers, Brynelle; Cazzaniga, Paolo; Buffa, Francesca M.; Tangherloni, Andrea | - | (seleziona...) |
Efficient and settings-free calibration of detailed kinetic metabolic models with enzyme isoforms characterization | 1-gen-2020 | Totis, Niccolò; Tangherloni, Andrea; Beccuti, Marco; Cazzaniga, Paolo; Nobile, Marco S.; Besozzi, Daniela; Pennisi, Marzio; Pappalardo, Francesco | - | Springer |
Estimation of kinetic reaction constants: exploiting reboot strategies to improve PSO’s performance | 1-gen-2019 | Spolaor, Simone; Tangherloni, Andrea; Rundo, Leonardo; Cazzaniga, Paolo; Nobile, Marco S. | - | Springer |
FiCoS: a fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks | 1-gen-2021 | Tangherloni, Andrea; Nobile, Marco S.; Cazzaniga, Paolo; Capitoli, Giulia; Spolaor, Simone; Rundo, Leonardo; Mauri, Giancarlo; Besozzi, Daniela | PLOS COMPUTATIONAL BIOLOGY | - |
GenHap: a novel computational method based on genetic algorithms for haplotype assembly | 1-gen-2019 | Tangherloni, Andrea; Spolaor, Simone; Rundo, Leonardo; Nobile, Marco S.; Cazzaniga, Paolo; Mauri, Giancarlo; Liò, Pietro; Merelli, Ivan; Besozzi, Daniela | BMC BIOINFORMATICS | - |
Gillespie’s Stochastic Simulation Algorithm on MIC coprocessors | 1-gen-2017 | Tangherloni, Andrea; Nobile Marco, S.; Cazzaniga, Paolo; Besozzi, Daniela; Mauri, Giancarlo | THE JOURNAL OF SUPERCOMPUTING | - |
GPU accelerated analysis of treg-teff cross regulation in relapsing-remitting multiple sclerosis | 1-gen-2019 | Beccuti, Marco; Cazzaniga, Paolo; Pennisi, Marzio; Besozzi, Daniela; Nobile, Marco S.; Pernice, Simone; Russo, Giulia; Tangherloni, Andrea; Pappalardo, Francesco | - | Springer |
GPU-powered and settings-free parameter estimation of biochemical systems | 1-gen-2016 | Nobile, Marco S.; Tangherloni, Andrea; Besozzi, Daniela; Cazzaniga, Paolo | - | (seleziona...) |
GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values | 1-gen-2016 | Tangherloni, Andrea; Nobile, Marco S.; Cazzaniga, Paolo | - | (seleziona...) |