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Lisanne V van Dijk

Showing results (1-10 of 85) with videos related to

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American Society of Clinical Oncology Educational Book. American Society of Clinical Oncology. Annual Meeting|April 30, 2021
Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and ChallengesLisanne V van Dijk, Clifton D Fuller
International Journal of Particle Therapy|July 21, 2021
NTCP Modeling of Late Effects for Head and Neck Cancer: A Systematic ReviewSonja Stieb, Anna Lee, Lisanne V van Dijk, et al.
Head and Neck Tumor Segmentation : First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings|March 16, 2021
Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT ImagesMohamed A Naser, Lisanne V van Dijk, Renjie He, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 30, 2016
Reply letter to "Texture analysis of parotid gland as a predictive factor of radiation induced xerostomia: A subset analysis"Lisanne V van Dijk, Johannes A Langendijk, Nanna M Sijtsema, et al.
Clinical and Translational Radiation Oncology|May 3, 2021
Radiomic biomarkers of tumor immune biology and immunotherapy responseJarey H Wang, Kareem A Wahid, 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.
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.
IEEE Visualization Conference : VIS. IEEE Conference on Visualization|September 12, 2024
Explainable Spatial Clustering: Leveraging Spatial Data in Radiation OncologyAndrew Wentzel, Guadalupe Canahuate, Lisanne V van Dijk, et al.
Plos One|July 18, 2018
Development of a prediction model for late urinary incontinence, hematuria, pain and voiding frequency among irradiated prostate cancer patientsWouter Schaake, Arjen van der Schaaf, Lisanne V van Dijk, et al.
International Journal of Radiation Oncology, Biology, Physics|September 5, 2020
Meeting the Challenge of Scientific Dissemination in the Era of COVID-19: Toward a Modular Approach to Knowledge-Sharing for Radiation OncologyClifton D Fuller, Lisanne V van Dijk, Reid F Thompson, et al.
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Showing results (1-10 of 85) with videos related to

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Pageof 9
American Society of Clinical Oncology Educational Book. American Society of Clinical Oncology. Annual Meeting|April 30, 2021
Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and ChallengesLisanne V van Dijk, Clifton D Fuller
International Journal of Particle Therapy|July 21, 2021
NTCP Modeling of Late Effects for Head and Neck Cancer: A Systematic ReviewSonja Stieb, Anna Lee, Lisanne V van Dijk, et al.
Head and Neck Tumor Segmentation : First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings|March 16, 2021
Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT ImagesMohamed A Naser, Lisanne V van Dijk, Renjie He, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 30, 2016
Reply letter to "Texture analysis of parotid gland as a predictive factor of radiation induced xerostomia: A subset analysis"Lisanne V van Dijk, Johannes A Langendijk, Nanna M Sijtsema, et al.
Clinical and Translational Radiation Oncology|May 3, 2021
Radiomic biomarkers of tumor immune biology and immunotherapy responseJarey H Wang, Kareem A Wahid, 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.
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.
IEEE Visualization Conference : VIS. IEEE Conference on Visualization|September 12, 2024
Explainable Spatial Clustering: Leveraging Spatial Data in Radiation OncologyAndrew Wentzel, Guadalupe Canahuate, Lisanne V van Dijk, et al.
Plos One|July 18, 2018
Development of a prediction model for late urinary incontinence, hematuria, pain and voiding frequency among irradiated prostate cancer patientsWouter Schaake, Arjen van der Schaaf, Lisanne V van Dijk, et al.
International Journal of Radiation Oncology, Biology, Physics|September 5, 2020
Meeting the Challenge of Scientific Dissemination in the Era of COVID-19: Toward a Modular Approach to Knowledge-Sharing for Radiation OncologyClifton D Fuller, Lisanne V van Dijk, Reid F Thompson, et al.
Pageof 9