Lisanne V Van Dijk, PhD
Affiliations: | 2014- | Radiation Oncology | University Medical Center Groningen, Groningen, Netherlands |
| 2019-2021 | Radiation Oncology | MD Anderson Cancer Center, Houston, TX, United States |
Area:
Artificial Intelligence, Normal tissue toxicity, MAchine LEarning, PRediction modelingGoogle:
"https://scholar.google.com/citations?user=7exfy80AAAAJ&hl=en"Parents
Sign in to add mentor| Johannes Albertus Langendijk | grad student | 2014-2019 | UMC Groningen |
| Clifton David Fuller | post-doc | 2019-2021 | The University of Texas MD Anderson Cancer Center |
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Publications
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| Hosseinian S, Hemmati M, Dede C, et al. (2023) Cluster-Based Toxicity Estimation of Osteoradionecrosis via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification. Medrxiv : the Preprint Server For Health Sciences |
| De Biase A, Sijtsema NM, van Dijk LV, et al. (2023) Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT images. Physics in Medicine and Biology. 68 |
| Wang JH, Salama V, McCoy L, et al. (2023) Dysphagia and shortness-of-breath as markers for treatment failure and survival in oropharyngeal cancer after radiation. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 109465 |
| Li Y, Sijtsema NM, de Vette SPM, et al. (2023) Validation of the F-FDG PET image biomarker model predicting late xerostomia after head and neck cancer radiotherapy. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 180: 109458 |
| van Dijk LV, Mohamed AS, Ahmed S, et al. (2022) Head and neck cancer predictive risk estimator to determine control and therapeutic outcomes of radiotherapy (HNC-PREDICTOR): development, international multi-institutional validation, and web implementation of clinic-ready model-based risk stratification for head and neck cancer. European Journal of Cancer (Oxford, England : 1990). 178: 150-161 |
| Hemmati M, Barbon C, Mohamed ASR, et al. (2022) Optimized decision support for selection of transoral robotic surgery or (chemo)radiation therapy based on posttreatment swallowing toxicity. Cancer Medicine |
| Taku N, Wahid KA, van Dijk LV, et al. (2022) Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network. Clinical and Translational Radiation Oncology. 36: 47-55 |
| Mulder SL, Heukelom J, McDonald BA, et al. (2022) MR-Guided Adaptive Radiotherapy for OAR Sparing in Head and Neck Cancers. Cancers. 14 |
| Wahid KA, He R, Dede C, et al. (2022) Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell Carcinoma. Head and Neck Tumor Segmentation and Outcome Prediction : Second Challenge, Hecktor 2021, Held in Conjunction With Miccai 2021, Strasbourg, France, September 27, 2021, Proceedings. Head and Neck Tumor Segmentation Challenge (2nd : 2021 .... 13209: 300-307 |
| Naser MA, Wahid KA, van Dijk LV, et al. (2022) Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images. Head and Neck Tumor Segmentation and Outcome Prediction : Second Challenge, Hecktor 2021, Held in Conjunction With Miccai 2021, Strasbourg, France, September 27, 2021, Proceedings. Head and Neck Tumor Segmentation Challenge (2nd : 2021 .... 13209: 121-132 |