publications

2023

1. RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy

   Tortora, Matteo, Cordelli, Ermanno, Sicilia, Rosa, Nibid, Lorenzo, Ippolito, Edy, Perrone, Giuseppe, Ramella, Sara, and Soda, Paolo

   IEEE Access 2023

   Bib PDF

   @article{tortora2023radiopathomics,
     bibtex_show = {true},
     title = {RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy},
     author = {Tortora, Matteo and Cordelli, Ermanno and Sicilia, Rosa and Nibid, Lorenzo and Ippolito, Edy and Perrone, Giuseppe and Ramella, Sara and Soda, Paolo},
     journal = {IEEE Access},
     year = {2023},
     publisher = {IEEE},
     pdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10122541}
   }

2022

1. Comparison of current methods for anti-dsDNA antibody detection and reshaping diagnostic strategies

   Infantino, Maria, Palterer, Boaz, Previtali, Giulia, Alessio, Maria-Grazia, Villalta, Danilo, Carbone, Teresa, Platzgummer, Stefan, Paura, Giusi, Castiglione, Caterina, Fabris, Martina, and others,

   Scandinavian Journal of Immunology 2022

   Bib PDF

   @article{infantino2022comparison,
     bibtex_show = {true},
     title = {Comparison of current methods for anti-dsDNA antibody detection and reshaping diagnostic strategies},
     author = {Infantino, Maria and Palterer, Boaz and Previtali, Giulia and Alessio, Maria-Grazia and Villalta, Danilo and Carbone, Teresa and Platzgummer, Stefan and Paura, Giusi and Castiglione, Caterina and Fabris, Martina and others},
     journal = {Scandinavian Journal of Immunology},
     volume = {96},
     number = {6},
     pages = {e13220},
     year = {2022},
     pdf = {https://onlinelibrary.wiley.com/doi/abs/10.1111/sji.13220}
   }

2. PyTrack: a Map-Matching-based Python Toolbox for Vehicle Trajectory Reconstruction

   Tortora, Matteo, Cordelli, Ermanno, and Soda, Paolo

   IEEE Access 2022

   Bib PDF

   @article{tortora2022pytrack,
     bibtex_show = {true},
     title = {PyTrack: a Map-Matching-based Python Toolbox for Vehicle Trajectory Reconstruction},
     author = {Tortora, Matteo and Cordelli, Ermanno and Soda, Paolo},
     journal = {IEEE Access},
     volume = {10},
     pages = {112713--112720},
     year = {2022},
     publisher = {IEEE},
     pdf = {https://ieeexplore.ieee.org/iel7/6287639/9668973/09927417.pdf}
   }

2021

1. Exploring Deep Pathomics in Lung Cancer

   Liu, Charles Z, Sicilia, Rosa,  Tortora, Matteo, Cordelli, Ermanno, Nibid, Lorenzo, Sabarese, Giovanna, Perrone, Giuseppe, Fiore, Michele, Ramella, Sara, and Soda, Paolo

   In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) 2021

   Bib PDF

   @inproceedings{liu2021exploring,
     bibtex_show = {true},
     title = {Exploring Deep Pathomics in Lung Cancer},
     author = {Liu, Charles Z and Sicilia, Rosa and Tortora, Matteo and Cordelli, Ermanno and Nibid, Lorenzo and Sabarese, Giovanna and Perrone, Giuseppe and Fiore, Michele and Ramella, Sara and Soda, Paolo},
     booktitle = {2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)},
     pages = {407--412},
     year = {2021},
     organization = {IEEE},
     pdf = {https://ieeexplore.ieee.org/document/9474667}
   }

2. Deep reinforcement learning for fractionated radiotherapy in non-small cell lung carcinoma

   Tortora, Matteo, Cordelli, Ermanno, Sicilia, Rosa, Miele, Marianna, Matteucci, Paolo, Iannello, Giulio, Ramella, Sara, and Soda, Paolo

   Artificial Intelligence in Medicine 2021

   Bib PDF

   @article{tortora2021deep,
     bibtex_show = {true},
     title = {Deep reinforcement learning for fractionated radiotherapy in non-small cell lung carcinoma},
     author = {Tortora, Matteo and Cordelli, Ermanno and Sicilia, Rosa and Miele, Marianna and Matteucci, Paolo and Iannello, Giulio and Ramella, Sara and Soda, Paolo},
     journal = {Artificial Intelligence in Medicine},
     volume = {119},
     pages = {102137},
     year = {2021},
     publisher = {Elsevier},
     pdf = {https://www.sciencedirect.com/science/article/pii/S0933365721001305}
   }