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Leonard Wee

Showing results (81-90 of 108) with videos related to

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Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 13, 2018
Vulnerabilities of radiomic signature development: The need for safeguardsMattea L Welch, Chris McIntosh, Benjamin Haibe-Kains, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 19, 2025
PET/CT-based deep learning model predicts distant metastasis after SBRT for early-stage NSCLC: A multicenter studyLu Yu, Shenlun Chen, Junyi Li, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|March 23, 2021
Predicting outcomes in anal cancer patients using multi-centre data and distributed learning - A proof-of-concept studyAnanya Choudhury, Stelios Theophanous, Per-Ivar Lønne, et al.
Journal of Cachexia, Sarcopenia and Muscle|October 13, 2025
Subcutaneous Adipose Tissue Radiation Attenuation Is Associated With Increased 1-Year Mortality in Polytrauma PatientsLeanne L G C Ackermans, Jasper C Stokroos, David P J Van Dijk, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 15, 2018
External validation of a prognostic model incorporating quantitative PET image features in oesophageal cancerKieran G Foley, Zhenwei Shi, Philip Whybra, et al.
JCO Clinical Cancer Informatics|July 1, 2024
Improving Diagnosis and Care for Patients With Sarcoma: Do Real-World General Practitioners Data and Prospective Data Collections Have a Place Next to Clinical Trials?Emily I Holthuis, Marianne J Heins, Winan J van Houdt, et al.
Journal for Immunotherapy of Cancer|March 16, 2025
Voxel-level radiomics and deep learning for predicting pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant immunotherapy and chemotherapyZhen Zhang, Tianchen Luo, Meng Yan, et al.
Journal for Immunotherapy of Cancer|December 21, 2025
Interpretable multimodal radiopathomics model predicting pathological complete response to neoadjuvant chemoimmunotherapy in esophageal squamous cell carcinomaBaojia Qi, Zhaoyu Jiang, Haixia Shen, et al.
Sensors (Basel, Switzerland)|April 3, 2021
Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma PatientsLeanne L G C Ackermans, Leroy Volmer, Leonard Wee, et al.
Frontiers in Oncology|August 28, 2023
Identifying radiomics signatures in body composition imaging for the prediction of outcome following pancreatic cancer resectionGregory van der Kroft, Leonard Wee, Sander S Rensen, et al.
Pageof 11

Showing results (81-90 of 108) with videos related to

Sort By:
Pageof 11
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 13, 2018
Vulnerabilities of radiomic signature development: The need for safeguardsMattea L Welch, Chris McIntosh, Benjamin Haibe-Kains, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 19, 2025
PET/CT-based deep learning model predicts distant metastasis after SBRT for early-stage NSCLC: A multicenter studyLu Yu, Shenlun Chen, Junyi Li, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|March 23, 2021
Predicting outcomes in anal cancer patients using multi-centre data and distributed learning - A proof-of-concept studyAnanya Choudhury, Stelios Theophanous, Per-Ivar Lønne, et al.
Journal of Cachexia, Sarcopenia and Muscle|October 13, 2025
Subcutaneous Adipose Tissue Radiation Attenuation Is Associated With Increased 1-Year Mortality in Polytrauma PatientsLeanne L G C Ackermans, Jasper C Stokroos, David P J Van Dijk, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 15, 2018
External validation of a prognostic model incorporating quantitative PET image features in oesophageal cancerKieran G Foley, Zhenwei Shi, Philip Whybra, et al.
JCO Clinical Cancer Informatics|July 1, 2024
Improving Diagnosis and Care for Patients With Sarcoma: Do Real-World General Practitioners Data and Prospective Data Collections Have a Place Next to Clinical Trials?Emily I Holthuis, Marianne J Heins, Winan J van Houdt, et al.
Journal for Immunotherapy of Cancer|March 16, 2025
Voxel-level radiomics and deep learning for predicting pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant immunotherapy and chemotherapyZhen Zhang, Tianchen Luo, Meng Yan, et al.
Journal for Immunotherapy of Cancer|December 21, 2025
Interpretable multimodal radiopathomics model predicting pathological complete response to neoadjuvant chemoimmunotherapy in esophageal squamous cell carcinomaBaojia Qi, Zhaoyu Jiang, Haixia Shen, et al.
Sensors (Basel, Switzerland)|April 3, 2021
Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma PatientsLeanne L G C Ackermans, Leroy Volmer, Leonard Wee, et al.
Frontiers in Oncology|August 28, 2023
Identifying radiomics signatures in body composition imaging for the prediction of outcome following pancreatic cancer resectionGregory van der Kroft, Leonard Wee, Sander S Rensen, et al.
Pageof 11