Lisanne van Dijk
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
3
Active years
2020–2024
Best venue rank
A
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | MICCAI | MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble. | Frank N. Mol, Luuk van der Hoek, Baoqiang Ma, Bharath Chowdhary Nagam, Nanna Maria Sijtsema, Lisanne van Dijk, Kerstin Bunte, Rifka Vlijm, Peter M. A. van Ooijen |
| 2022 | MICCAI | Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach. | Hung Chu, Luis Ricardo De la O. Arvalo, 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 |
| 2022 | MICCAI | 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. Arvalo, Jiapan Guo, Peter M. A. van Ooijen, Stefan Both, Johannes A. Langendijk, Lisanne van Dijk, Nanna Maria Sijtsema |
| 2021 | AIME | 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 |
| 2021 | IDEAS | 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 |
| 2021 | MICCAI | 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 |
| 2021 | MICCAI | 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 |
| 2021 | MICCAI | 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 |
| 2020 | MICCAI | 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 |