Lisanne van Dijk

According to our database, Lisanne van Dijk authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DASS Good: Explainable Data Mining of Spatial Cohort Data.

Andrew Wentzel, Carla Floricel, Guadalupe Canahuate, Mohamed A. Naser, Abdallah S. Mohamed, Clifton D. Fuller, Lisanne van Dijk, G. Elisabeta Marai

Comput. Graph. Forum, June, 2023

TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer.

Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema

Proceedings of the Medical Imaging with Deep Learning, 2023

Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients.

Yaohua Wang, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, Clifton David Fuller, Xinhua Zhang, G. Elisabeta Marai, Guadalupe Canahuate

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy.

Carla Floricel, Nafiul Nipu, Mikayla Biggs, Andrew Wentzel, Guadalupe Canahuate, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, G. Elisabeta Marai

IEEE Trans. Vis. Comput. Graph., 2022

Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images.

Alessia De Biase, Nanna Maria Sijtsema, Lisanne van Dijk, Johannes A. Langendijk, Peter M. A. van Ooijen

CoRR, 2022

Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients.

Baoqiang Ma, Yan Li, Hung Chu, Wei Tang, Luis Ricardo De la O. Arévalo, Jiapan Guo, Peter M. A. van Ooijen, Stefan Both, Johannes A. Langendijk, Lisanne van Dijk, Nanna Maria Sijtsema

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach.

Hung Chu, Luis Ricardo De la O. Arévalo, Wei Tang, Baoqiang Ma, Yan Li, Alessia De Biase, Stefan Both, Johannes A. Langendijk, Peter M. A. van Ooijen, Nanna Maria Sijtsema, Lisanne van Dijk

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2021

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.

Kareem A. Wahid, Renjie He, Cem Dede, Abdallah Sherif Radwan Mohamed, Moamen Abobakr Abdelaal, Lisanne van Dijk, Clifton D. Fuller, Mohamed A. Naser

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data.

Mohamed A. Naser, Kareem A. Wahid, Abdallah Sherif Radwan Mohamed, Moamen Abobakr Abdelaal, Renjie He, Cem Dede, Lisanne van Dijk, Clifton D. Fuller

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images.

Mohamed A. Naser, Kareem A. Wahid, Lisanne van Dijk, Renjie He, Moamen Abobakr Abdelaal, Cem Dede, Abdallah Sherif Radwan Mohamed, Clifton D. Fuller

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes.

Yaohua Wang, Guadalupe Canahuate, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, Xinhua Zhang, Georgeta Elisabeta Marai

Proceedings of the IDEAS 2021: 25th International Database Engineering & Applications Symposium, 2021

Identifying Symptom Clusters Through Association Rule Mining.

Mikayla Biggs, Carla Floricel, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, G. Elisabeta Marai, Xinhua Zhang, Guadalupe Canahuate

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology.

Andrew Wentzel, Guadalupe Canahuate, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, G. Elisabeta Marai

Proceedings of the 31st IEEE Visualization Conference, 2020

Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images.

Mohamed A. Naser, Lisanne van Dijk, Renjie He, Kareem A. Wahid, Clifton D. Fuller

Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020