publications

publications by categories in reversed chronological order.

2024

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    PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
    Alek Fröhlich, Thiago Ramos, Gustavo Cabello, and 3 more authors
    2024
  2. Buzatto2023.jpg
    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
    Breast Cancer Research and Treatment, Jul 2024
  3. Alek2024a.png
    Elements of learning theory and their application in the prediction of malignancy of breast lesions
    Master Thesis
    Jul 2024
  4. Molecular/genomic profile enhances prediction of response to target therapy in HER2-positive breast cancer
    Daniel Tiezzi, Fabiana Buono, Alek Fröhlich, and 1 more author
    Feb 2024

2023

  1. Alek2023.png
    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

2022

  1. Alek2022.png
    Foundations of machine learning: functional analysis with an eye to kernel methods
    Bachelor Thesis
    Mar 2022