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Leonard Wee

Showing results (51-60 of 108) with videos related to

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Physics in Medicine and Biology|November 5, 2019
Automatic classification of dental artifact status for efficient image veracity checks: effects of image resolution and convolutional neural network depthMattea L Welch, Chris McIntosh, Tom G Purdie, et al.
Cancer Medicine|January 31, 2025
Lung Cancer Detection Using Bayesian Networks: A Retrospective Development and Validation Study on a Danish Population of High-Risk IndividualsMargrethe Bang Henriksen, Florian Van Daalen, Leonard Wee, et al.
BJR Open|February 14, 2024
Comparing the performance of a deep learning-based lung gross tumour volume segmentation algorithm before and after transfer learning in a new hospitalChaitanya Kulkarni, Umesh Sherkhane, Vinay Jaiswar, et al.
Frontiers in Oncology|January 11, 2020
External Validation of Radiation-Induced Dyspnea Models on Esophageal Cancer Radiotherapy PatientsZhenwei Shi, Kieran G Foley, Juan Pablo de Mey, et al.
European Radiology Experimental|November 29, 2022
Generation of synthetic ground glass nodules using generative adversarial networks (GANs)Zhixiang Wang, Zhen Zhang, Ying Feng, et al.
BJR Artificial Intelligence|May 1, 2026
Independent validation of the Mosamatic deep learning automated skeletal muscle and adipose tissue segmentation tool in an external Chinese cancer patient cohortChenfei Zhou, Xuekun Zhang, David P J van Dijk, et al.
Physics and Imaging in Radiation Oncology|November 24, 2021
A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic featuresElisabeth Pfaehler, Ivan Zhovannik, Lise Wei, et al.
Diagnostics (Basel, Switzerland)|March 14, 2026
Decoding Uncertainty Quantification for Oncology-An Illustration Using RadiomicsFlorian van Daalen, Balu Krishna Sasidharan, C Praveenraj, et al.
Exploration of Targeted Anti-Tumor Therapy|September 18, 2023
Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncologyAshish Kumar Jha, Sneha Mithun, Umeshkumar B Sherkhane, et al.
La Radiologia Medica|November 14, 2024
Improved prognostication of overall survival after radiotherapy in lung cancer patients by an interpretable machine learning model integrating lung and tumor radiomics and clinical parametersTianchen Luo, Meng Yan, Meng Zhou, et al.
Pageof 11

Showing results (51-60 of 108) with videos related to

Sort By:
Pageof 11
Physics in Medicine and Biology|November 5, 2019
Automatic classification of dental artifact status for efficient image veracity checks: effects of image resolution and convolutional neural network depthMattea L Welch, Chris McIntosh, Tom G Purdie, et al.
Cancer Medicine|January 31, 2025
Lung Cancer Detection Using Bayesian Networks: A Retrospective Development and Validation Study on a Danish Population of High-Risk IndividualsMargrethe Bang Henriksen, Florian Van Daalen, Leonard Wee, et al.
BJR Open|February 14, 2024
Comparing the performance of a deep learning-based lung gross tumour volume segmentation algorithm before and after transfer learning in a new hospitalChaitanya Kulkarni, Umesh Sherkhane, Vinay Jaiswar, et al.
Frontiers in Oncology|January 11, 2020
External Validation of Radiation-Induced Dyspnea Models on Esophageal Cancer Radiotherapy PatientsZhenwei Shi, Kieran G Foley, Juan Pablo de Mey, et al.
European Radiology Experimental|November 29, 2022
Generation of synthetic ground glass nodules using generative adversarial networks (GANs)Zhixiang Wang, Zhen Zhang, Ying Feng, et al.
BJR Artificial Intelligence|May 1, 2026
Independent validation of the Mosamatic deep learning automated skeletal muscle and adipose tissue segmentation tool in an external Chinese cancer patient cohortChenfei Zhou, Xuekun Zhang, David P J van Dijk, et al.
Physics and Imaging in Radiation Oncology|November 24, 2021
A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic featuresElisabeth Pfaehler, Ivan Zhovannik, Lise Wei, et al.
Diagnostics (Basel, Switzerland)|March 14, 2026
Decoding Uncertainty Quantification for Oncology-An Illustration Using RadiomicsFlorian van Daalen, Balu Krishna Sasidharan, C Praveenraj, et al.
Exploration of Targeted Anti-Tumor Therapy|September 18, 2023
Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncologyAshish Kumar Jha, Sneha Mithun, Umeshkumar B Sherkhane, et al.
La Radiologia Medica|November 14, 2024
Improved prognostication of overall survival after radiotherapy in lung cancer patients by an interpretable machine learning model integrating lung and tumor radiomics and clinical parametersTianchen Luo, Meng Yan, Meng Zhou, et al.
Pageof 11