Computer-Aided Detection and Segmentation from Medical Data

@INPROCEEDINGS{raposo_union_2022,
   author = {Raposo, Geoffrey and Trajman, Anete and Anjos, Andr{\'{e}}},
   month = 11,
   title = {Pulmonary Tuberculosis Screening from Radiological Signs on Chest X-Ray Images Using Deep Models},
   booktitle = {Union World Conference on Lung Health},
   year = {2022},
   date = {2022-11-01},
   organization = {The Union},
}

@TECHREPORT{Raposo_Idiap-Com-01-2021,
   author = {Raposo, Geoffrey},
   keywords = {deep learning, generalization, Interpretability, transfer learning, Tuberculosis Detection},
   projects = {Idiap},
   month = {7},
   title = {Active tuberculosis detection from frontal chest X-ray images},
   type = {Idiap-Com},
   number = {Idiap-Com-01-2021},
   year = {2021},
   institution = {Idiap},
   url = {https://gitlab.idiap.ch/biosignal/software/mednet},
   pdf = {https://publidiap.idiap.ch/downloads/reports/2021/Raposo_Idiap-Com-01-2021.pdf}
}

@INPROCEEDINGS{renzo_2021,
    title     = {Development of a lung segmentation algorithm for analog imaged chest X-Ray: preliminary results},
    author    = {Matheus A. Renzo and Nat\'{a}lia Fernandez and Andr\'e Baceti and Natanael Nunes de Moura Junior and Andr\'e Anjos},
    month     = {10},
    booktitle = {XV Brazilian Congress on Computational Intelligence},
    year      = {2021},
    url       = {https://publications.idiap.ch/index.php/publications/show/4649},
}

@MISC{laibacher_2019,
    title         = {On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Retinography},
    author        = {Tim Laibacher and Andr\'e Anjos},
    year          = {2019},
    eprint        = {1909.03856},
    archivePrefix = {arXiv},
    primaryClass  = {cs.CV},
    url           = {https://arxiv.org/abs/1909.03856},
}