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Leonard Wee

Showing results (101-110 of 108) with videos related to

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The British Journal of Radiology|September 17, 2024
External validation of a deep learning model for automatic segmentation of skeletal muscle and adipose tissue on abdominal CT imagesDavid P J van Dijk, Leroy F Volmer, Ralph Brecheisen, et al.
Physics and Imaging in Radiation Oncology|June 1, 2023
Multi-centre radiomics for prediction of recurrence following radical radiotherapy for head and neck cancers: Consequences of feature selection, machine learning classifiers and batch-effect harmonizationAmal Joseph Varghese, Varsha Gouthamchand, Balu Krishna Sasidharan, et al.
Computers in Biology and Medicine|January 1, 2026
Vulnerabilities of feature clustering in EIT radiomicsMaike S V Imkamp, Vasco C G Prudente, Eda Aydeniz, et al.
Nature Communications|March 15, 2026
An international multi-centre study to develop and validate federated learning-based prognostic models for anal cancerStelios Theophanous, Per-Ivar Lønne, Ananya Choudhury, et al.
Medical Physics|May 16, 2018
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiersTimo M Deist, Frank J W M Dankers, Gilmer Valdes, et al.
Diagnostic and Prognostic Research|August 3, 2022
Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 studyStelios Theophanous, Per-Ivar Lønne, Ananya Choudhury, et al.
International Journal of Radiation Oncology, Biology, Physics|June 17, 2025
Pragmatic Patient Choice-Driven Radical Treatment Approach (PRAGRAD) for Very Advanced Unresectable Oral Cavity CancersBalu Krishna Sasidharan, Sharief K Sidhique, Jino Victor Wilson, et al.
European Journal of Cancer (Oxford, England : 1990)|July 14, 2026
Prognostic host phenotypes based on body composition and systemic inflammation predict survival in patients with resected pancreatic and periampullary cancerNicole D Hildebrand, David P J van Dijk, Jisce R Puik, et al.
Pageof 11

Showing results (101-110 of 108) with videos related to

Sort By:
Pageof 11
You have reached the last page of results.This site can display upto 108 results.
The British Journal of Radiology|September 17, 2024
External validation of a deep learning model for automatic segmentation of skeletal muscle and adipose tissue on abdominal CT imagesDavid P J van Dijk, Leroy F Volmer, Ralph Brecheisen, et al.
Physics and Imaging in Radiation Oncology|June 1, 2023
Multi-centre radiomics for prediction of recurrence following radical radiotherapy for head and neck cancers: Consequences of feature selection, machine learning classifiers and batch-effect harmonizationAmal Joseph Varghese, Varsha Gouthamchand, Balu Krishna Sasidharan, et al.
Computers in Biology and Medicine|January 1, 2026
Vulnerabilities of feature clustering in EIT radiomicsMaike S V Imkamp, Vasco C G Prudente, Eda Aydeniz, et al.
Nature Communications|March 15, 2026
An international multi-centre study to develop and validate federated learning-based prognostic models for anal cancerStelios Theophanous, Per-Ivar Lønne, Ananya Choudhury, et al.
Medical Physics|May 16, 2018
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiersTimo M Deist, Frank J W M Dankers, Gilmer Valdes, et al.
Diagnostic and Prognostic Research|August 3, 2022
Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 studyStelios Theophanous, Per-Ivar Lønne, Ananya Choudhury, et al.
International Journal of Radiation Oncology, Biology, Physics|June 17, 2025
Pragmatic Patient Choice-Driven Radical Treatment Approach (PRAGRAD) for Very Advanced Unresectable Oral Cavity CancersBalu Krishna Sasidharan, Sharief K Sidhique, Jino Victor Wilson, et al.
European Journal of Cancer (Oxford, England : 1990)|July 14, 2026
Prognostic host phenotypes based on body composition and systemic inflammation predict survival in patients with resected pancreatic and periampullary cancerNicole D Hildebrand, David P J van Dijk, Jisce R Puik, et al.
Pageof 11