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Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer.

A. Biase, B. Ma, J. Guo, L. van Dijk, J. Langendijk, S. Both, P. van Ooijen, and N. Sijtsema. Comput. Methods Programs Biomed., (2024)

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Rutger van Dijk

Thomas C. van Dijk

Lisanne Hartmann

Esther Dijk

Atze Dijkstra

Other publications of authors with the same name

Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology.A. Wentzel, G. Canahuate, L. van Dijk, A. Mohamed, C. Fuller, and G. Marai. IEEE VIS (Short Papers), page 281-285. IEEE, (2020)Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach.H. Chu, L. la O. Arévalo, W. Tang, B. Ma, Y. Li, A. Biase, S. Both, J. Langendijk, P. van Ooijen, N. Sijtsema and 1 other author(s). HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 114-120. Springer, (2022)Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images.A. Biase, N. Sijtsema, L. van Dijk, J. Langendijk, and P. van Ooijen. CoRR, (2022)Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes.Y. Wang, G. Canahuate, L. van Dijk, A. Mohamed, C. Fuller, X. Zhang, and G. Marai. IDEAS, page 273-279. ACM, (2021)TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer.B. Ma, J. Guo, L. van Dijk, P. van Ooijen, S. Both, and N. Sijtsema. MIDL, volume 227 of Proceedings of Machine Learning Research, page 1640-1654. PMLR, (2023)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.K. Wahid, R. He, C. Dede, A. Mohamed, M. Abdelaal, L. van Dijk, C. Fuller, and M. Naser. HECKTOR@MICCAI, volume 13209 of Lecture Notes in Computer Science, page 300-307. Springer, (2021)Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients.Y. Wang, L. van Dijk, A. Mohamed, M. Naser, C. Fuller, X. Zhang, G. Marai, and G. Canahuate. ICHI, page 292-300. IEEE, (2023)Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data.M. Naser, K. Wahid, A. Mohamed, M. Abdelaal, R. He, C. Dede, L. van Dijk, and C. Fuller. HECKTOR@MICCAI, volume 13209 of Lecture Notes in Computer Science, page 287-299. Springer, (2021)Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients.B. Ma, Y. Li, H. Chu, W. Tang, L. la O. Arévalo, J. Guo, P. van Ooijen, S. Both, J. Langendijk, L. van Dijk and 1 other author(s). HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 240-254. Springer, (2022)Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer.A. Biase, B. Ma, J. Guo, L. van Dijk, J. Langendijk, S. Both, P. van Ooijen, and N. Sijtsema. Comput. Methods Programs Biomed., (2024)

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Disambiguation of "van Dijk, Lisanne"

Please choose a person to relate this publication to

Rutger van Dijk

Thomas C. van Dijk

Lisanne Hartmann

Esther Dijk

Atze Dijkstra

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "van Dijk, Lisanne"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer.

Please choose a person to relate this publication to

Rutger van Dijk

Thomas C. van Dijk

Lisanne Hartmann

Esther Dijk

Atze Dijkstra

Other publications of authors with the same name

Disambiguation