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

C. Floricel, N. Nipu, M. Biggs, A. Wentzel, G. Canahuate, L. van Dijk, A. Mohamed, C. Fuller, and G. Marai. CoRR, (2021)

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Rutger van Dijk

Thomas C. van Dijk

Lisanne Hartmann

Esther Dijk

Atze Dijkstra

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THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy.C. Floricel, N. Nipu, M. Biggs, A. Wentzel, G. Canahuate, L. van Dijk, A. Mohamed, C. Fuller, and G. Marai. CoRR, (2021)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)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)THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy.C. Floricel, N. Nipu, M. Biggs, A. Wentzel, G. Canahuate, L. van Dijk, A. Mohamed, C. Fuller, and G. Marai. IEEE Trans. Vis. Comput. Graph., 28 (1): 151-161 (2022)DASS Good: Explainable Data Mining of Spatial Cohort Data.A. Wentzel, C. Floricel, G. Canahuate, M. Naser, A. Mohamed, C. Fuller, L. van Dijk, and G. Marai. Comput. Graph. Forum, 42 (3): 283-295 (June 2023)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)

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Disambiguation of "van Dijk, Lisanne"

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

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

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

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
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THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy.