sample of publications
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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
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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