sample of publications

• articles 

  • Automated dysphagia characterization in head and neck cancer patients using videofluoroscopic swallowing studies.  COMPUTERS IN BIOLOGY AND MEDICINE.  187:109759-109759. 2025
  • Selective sparing of bladder and rectum sub-regions in radiotherapy of prostate cancer combining knowledge-based automatic planning and multicriteria optimization.  Physics and Imaging in Radiation Oncology.  28,100488:1-10. 2023
  • Deep learning-based segmentation of prostatic urethra on computed tomography scans for treatment planning.  Physics and Imaging in Radiation Oncology.  26:1-6. 2023
  • Deep Learning-Based Segmentation of Head and Neck Organs-at-Risk with Clinical Partially Labeled Data.  Entropy.  24:1-15. 2022

• conference contributions 

  • Complete Uncertainty Estimation and Quantification In Automatic Prostate Cancer OAR Segmentation.  S3113-S3115. 2024
  • New DL approach for dysphagia analysis in videofluorocopy swallowing studies in HN cancer patients.  S3135-S3137. 2024
  • New Deep Learning-Based Approach for Dysphagia Assessment for Videofluorocopy Swallowing Studies 2024
  • Alternative DL segmentation approaches for clinical partially-labeled HN data: transformers or Unet?.  S260-S261. 2023
  • Exploring Uncertainty for Clinical Acceptability in Head and Neck Deep Learning-Based OAR Segmentation.  1-4. 2023