publications

2023

1. 

   Computational pathology pipeline enables quantification of intratumor heterogeneity and tumor-infiltrating lymphocyte score

   Daniel Tiezzi, Alek Fröhlich, Stefano Pagnotta, and 1 more author

   Dec 2023

   Bib HTML PDF

   @conference{Alek2023,
     title = {Computational pathology pipeline enables quantification of intratumor heterogeneity and tumor-infiltrating lymphocyte score},
     author = {Tiezzi, Daniel and Fröhlich, Alek and Pagnotta, Stefano and Chahud, Fernando},
     booktitle = {ESMO Immuno-Oncology Congress 2023},
     organization = {ESMO},
     year = {2023},
     month = dec,
   }

2. 

   Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features

   Isabela Carlotti Buzatto, Sarah Abud Recife, Licerio Miguel, and 7 more authors

   Dec 2023

   Bib HTML PDF

   @misc{Buzatto2023,
     doi = {10.21203/rs.3.rs-3390199/v1},
     url = {https://doi.org/10.21203/rs.3.rs-3390199/v1},
     year = {2023},
     publisher = {Research Square Platform {LLC}},
     author = {Buzatto, Isabela Carlotti and Recife, Sarah Abud and Miguel, Licerio and Onari, Nilton and Faim, Ana Luiza Peloso and Bonini, Ruth Morais and Silvestre, Liliane and Carlotti, Danilo Panzeri and Fr\"{o}hlich, Alek and Tiezzi, Daniel Guimar{\~{a}}es},
     title = {Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features},
   }

2022

1. 

   Foundations of machine learning: functional analysis with an eye to kernel methods

   Bachelor Thesis

   Mar 2022

   Bib HTML PDF

   @masterthesis{Alek2022,
     year = {2022},
     month = mar,
     type = {Bachelor Thesis},
     author = {Thesis, Bachelor},
     title = {Foundations of machine learning: functional analysis with an eye to kernel methods},
   }