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Leonard Wee

Showing results (31-40 of 108) with videos related to

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Frontiers in Immunology|April 23, 2026
Adapting federated radiomics models for radiation pneumonitis prediction in patients receiving thoracic radiotherapy with immunotherapyZirui Zhu, Meng Yan, Wenhao Ji, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|February 24, 2020
Machine learning helps identifying volume-confounding effects in radiomicsAlberto Traverso, Michal Kazmierski, Ivan Zhovannik, et al.
Scientific Reports|October 24, 2023
Image based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimizationPedro Mateus, Leroy Volmer, Leonard Wee, et al.
Plos One|November 11, 2021
Practitioners' views on shared decision-making implementation: A qualitative studyAnshu Ankolekar, Karina Dahl Steffensen, Karina Olling, et al.
Radiation Oncology (London, England)|January 17, 2025
Whole lung radiomic features are associated with overall survival in patients with locally advanced non-small cell lung cancer treated with definitive radiotherapyMeng Yan, Zhen Zhang, Jia Tian, et al.
Clinical and Translational Radiation Oncology|March 29, 2021
Overall survival nomogram for patients with spinal bone metastases (SBM)Biche Osong, Ilknur Sanli, Paul C Willems, et al.
Acta Oncologica (Stockholm, Sweden)|September 19, 2014
Feasibility of MRI-based reference images for image-guided radiotherapy of the pelvis with either cone-beam computed tomography or planar localization imagesJuha Korhonen, Mika Kapanen, Jan-Jakob Sonke, et al.
Methods (San Diego, Calif.)|December 3, 2020
Systematic review of radiomic biomarkers for predicting immune checkpoint inhibitor treatment outcomesChong Zhang, Louise de A F Fonseca, Zhenwei Shi, et al.
Cancer Immunology, Immunotherapy : CII|November 18, 2025
Automatically quantifying spatial heterogeneity of immune and tumor hypoxia environment and predicting disease-free survival for patients with rectal cancerShenlun Chen, Zonglin Liu, Jiazhou Wang, et al.
Frontiers in Immunology|May 4, 2026
Correction: Cross-dataset adaptation of voxel-level deep radiomics for predicting survival in inoperable locally advanced NSCLC treated with immunotherapyJin Wang, Zhaoyu Jiang, Wenhao Ji, et al.
Pageof 11

Showing results (31-40 of 108) with videos related to

Sort By:
Pageof 11
Frontiers in Immunology|April 23, 2026
Adapting federated radiomics models for radiation pneumonitis prediction in patients receiving thoracic radiotherapy with immunotherapyZirui Zhu, Meng Yan, Wenhao Ji, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|February 24, 2020
Machine learning helps identifying volume-confounding effects in radiomicsAlberto Traverso, Michal Kazmierski, Ivan Zhovannik, et al.
Scientific Reports|October 24, 2023
Image based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimizationPedro Mateus, Leroy Volmer, Leonard Wee, et al.
Plos One|November 11, 2021
Practitioners' views on shared decision-making implementation: A qualitative studyAnshu Ankolekar, Karina Dahl Steffensen, Karina Olling, et al.
Radiation Oncology (London, England)|January 17, 2025
Whole lung radiomic features are associated with overall survival in patients with locally advanced non-small cell lung cancer treated with definitive radiotherapyMeng Yan, Zhen Zhang, Jia Tian, et al.
Clinical and Translational Radiation Oncology|March 29, 2021
Overall survival nomogram for patients with spinal bone metastases (SBM)Biche Osong, Ilknur Sanli, Paul C Willems, et al.
Acta Oncologica (Stockholm, Sweden)|September 19, 2014
Feasibility of MRI-based reference images for image-guided radiotherapy of the pelvis with either cone-beam computed tomography or planar localization imagesJuha Korhonen, Mika Kapanen, Jan-Jakob Sonke, et al.
Methods (San Diego, Calif.)|December 3, 2020
Systematic review of radiomic biomarkers for predicting immune checkpoint inhibitor treatment outcomesChong Zhang, Louise de A F Fonseca, Zhenwei Shi, et al.
Cancer Immunology, Immunotherapy : CII|November 18, 2025
Automatically quantifying spatial heterogeneity of immune and tumor hypoxia environment and predicting disease-free survival for patients with rectal cancerShenlun Chen, Zonglin Liu, Jiazhou Wang, et al.
Frontiers in Immunology|May 4, 2026
Correction: Cross-dataset adaptation of voxel-level deep radiomics for predicting survival in inoperable locally advanced NSCLC treated with immunotherapyJin Wang, Zhaoyu Jiang, Wenhao Ji, et al.
Pageof 11