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Alessia De Biase

Showing results (1-10 of 9) with videos related to

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Seminars in Radiation Oncology|October 6, 2022
Standardization of Artificial Intelligence Development in RadiotherapyAlessia de Biase, Nikos Sourlos, Peter M A van Ooijen
Fetal Diagnosis and Therapy|November 23, 2023
Fetal Echogenic Bowel: What Is Real Echogenicity? A Quantitative Method Based on Histogram Analysis of the GrayscaleSilvia Spinnato, Alessia De Biase, Caterina Maddalena Bilardo, et al.
BJR Artificial Intelligence|May 1, 2026
Clinical adoption of deep learning target auto-segmentation for radiation therapy: challenges, clinical risks, and mitigation strategiesAlessia De Biase, Nanna Maria Sijtsema, Tomas Janssen, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 2, 2025
Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohortAlessia De Biase, Nanna Maria Sijtsema, Lisanne V van Dijk, et al.
Physics in Medicine and Biology|February 7, 2023
Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT imagesAlessia De Biase, Nanna M Sijtsema, Lisanne V van Dijk, et al.
Computer Methods and Programs in Biomedicine|November 26, 2023
Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancerAlessia De Biase, Baoqiang Ma, Jiapan Guo, et al.
Physics and Imaging in Radiation Oncology|March 6, 2025
The prognostic value of pathologic lymph node imaging using deep learning-based outcome prediction in oropharyngeal cancer patientsBaoqiang Ma, Alessia De Biase, Jiapan Guo, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|June 4, 2024
PET/CT based transformer model for multi-outcome prediction in oropharyngeal cancerBaoqiang Ma, Jiapan Guo, Alessia De Biase, et al.
Computers in Biology and Medicine|May 31, 2024
Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and testAlessia De Biase, Liv Ziegfeld, Nanna Maria Sijtsema, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Seminars in Radiation Oncology|October 6, 2022
Standardization of Artificial Intelligence Development in RadiotherapyAlessia de Biase, Nikos Sourlos, Peter M A van Ooijen
Fetal Diagnosis and Therapy|November 23, 2023
Fetal Echogenic Bowel: What Is Real Echogenicity? A Quantitative Method Based on Histogram Analysis of the GrayscaleSilvia Spinnato, Alessia De Biase, Caterina Maddalena Bilardo, et al.
BJR Artificial Intelligence|May 1, 2026
Clinical adoption of deep learning target auto-segmentation for radiation therapy: challenges, clinical risks, and mitigation strategiesAlessia De Biase, Nanna Maria Sijtsema, Tomas Janssen, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 2, 2025
Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohortAlessia De Biase, Nanna Maria Sijtsema, Lisanne V van Dijk, et al.
Physics in Medicine and Biology|February 7, 2023
Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT imagesAlessia De Biase, Nanna M Sijtsema, Lisanne V van Dijk, et al.
Computer Methods and Programs in Biomedicine|November 26, 2023
Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancerAlessia De Biase, Baoqiang Ma, Jiapan Guo, et al.
Physics and Imaging in Radiation Oncology|March 6, 2025
The prognostic value of pathologic lymph node imaging using deep learning-based outcome prediction in oropharyngeal cancer patientsBaoqiang Ma, Alessia De Biase, Jiapan Guo, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|June 4, 2024
PET/CT based transformer model for multi-outcome prediction in oropharyngeal cancerBaoqiang Ma, Jiapan Guo, Alessia De Biase, et al.
Computers in Biology and Medicine|May 31, 2024
Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and testAlessia De Biase, Liv Ziegfeld, Nanna Maria Sijtsema, et al.
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