Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Leonard Wee

Showing results (11-20 of 108) with videos related to

Pageof 11
Sort By:
Studies in Health Technology and Informatics|May 17, 2025
A Governance Framework for Federated Learning Projects in HealthcareJohan van Soest, Luis Sanchez Gomez, Leonard Wee, et al.
Nuclear Medicine Communications|March 4, 2021
Emerging role of artificial intelligence in nuclear medicineAshish Kumar Jha, Sneha Mithun, Venkatesh Rangarajan, et al.
Medical Physics|October 4, 2019
Technical Note: Ontology-guided radiomics analysis workflow (O-RAW)Zhenwei Shi, Alberto Traverso, Johan van Soest, et al.
Progress in Artificial Intelligence|June 29, 2026
Multinomial Classification Certainty: a new uncertainty metric for multinomial outcome predictionFlorian van Daalen, Ralph Brecheisen, Leonard Wee, et al.
Medical Physics|May 18, 2020
Artificial intelligence-based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assuranceGeetha Mahadevaiah, Prasad Rv, Inigo Bermejo, et al.
European Journal of Nuclear Medicine and Molecular Imaging|December 23, 2021
Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapyZhenwei Shi, Zhen Zhang, Zaiyi Liu, et al.
Artificial Intelligence in Medicine|June 8, 2020
Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomicsSiva Teja Kakileti, Himanshu J Madhu, Geetha Manjunath, et al.
Physics in Medicine and Biology|July 21, 2021
Generative models improve radiomics reproducibility in low dose CTs: a simulation studyJunhua Chen, Chong Zhang, Alberto Traverso, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 10, 2025
Minimum sample size calculation for radiomics-based binary outcome prediction models: Theoretical framework and practical exampleQian Cao, Zhaoyu Jiang, Zhixiang Wang, et al.
Medical Physics|February 21, 2022
Lung cancer diagnosis using deep attention-based multiple instance learning and radiomicsJunhua Chen, Haiyan Zeng, Chong Zhang, et al.
Pageof 11

Showing results (11-20 of 108) with videos related to

Sort By:
Pageof 11
Studies in Health Technology and Informatics|May 17, 2025
A Governance Framework for Federated Learning Projects in HealthcareJohan van Soest, Luis Sanchez Gomez, Leonard Wee, et al.
Nuclear Medicine Communications|March 4, 2021
Emerging role of artificial intelligence in nuclear medicineAshish Kumar Jha, Sneha Mithun, Venkatesh Rangarajan, et al.
Medical Physics|October 4, 2019
Technical Note: Ontology-guided radiomics analysis workflow (O-RAW)Zhenwei Shi, Alberto Traverso, Johan van Soest, et al.
Progress in Artificial Intelligence|June 29, 2026
Multinomial Classification Certainty: a new uncertainty metric for multinomial outcome predictionFlorian van Daalen, Ralph Brecheisen, Leonard Wee, et al.
Medical Physics|May 18, 2020
Artificial intelligence-based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assuranceGeetha Mahadevaiah, Prasad Rv, Inigo Bermejo, et al.
European Journal of Nuclear Medicine and Molecular Imaging|December 23, 2021
Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapyZhenwei Shi, Zhen Zhang, Zaiyi Liu, et al.
Artificial Intelligence in Medicine|June 8, 2020
Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomicsSiva Teja Kakileti, Himanshu J Madhu, Geetha Manjunath, et al.
Physics in Medicine and Biology|July 21, 2021
Generative models improve radiomics reproducibility in low dose CTs: a simulation studyJunhua Chen, Chong Zhang, Alberto Traverso, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 10, 2025
Minimum sample size calculation for radiomics-based binary outcome prediction models: Theoretical framework and practical exampleQian Cao, Zhaoyu Jiang, Zhixiang Wang, et al.
Medical Physics|February 21, 2022
Lung cancer diagnosis using deep attention-based multiple instance learning and radiomicsJunhua Chen, Haiyan Zeng, Chong Zhang, et al.
Pageof 11