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Gilmer Valdes

Showing results (21-30 of 63) with videos related to

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Scientific Reports|December 1, 2016
MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision MedicineGilmer Valdes, José Marcio Luna, Eric Eaton, et al.
Journal of Applied Clinical Medical Physics|August 18, 2017
IMRT QA using machine learning: A multi-institutional validationGilmer Valdes, Maria F Chan, Seng Boh Lim, et al.
Medical Dosimetry : Official Journal of the American Association of Medical Dosimetrists|December 28, 2014
Tumor control probability and the utility of 4D vs 3D dose calculations for stereotactic body radiotherapy for lung cancerGilmer Valdes, Clifford Robinson, Percy Lee, et al.
Medical Physics|December 27, 2016
The relative accuracy of 4D dose accumulation for lung radiotherapy using rigid dose projection versus dose recalculation on every breathing phaseGilmer Valdes, Chul Lee, Stephen Tenn, et al.
Medical Physics|April 1, 2018
Deep nets vs expert designed features in medical physics: An IMRT QA case studyYannet Interian, Vincent Rideout, Vasant P Kearney, et al.
Journal of Applied Clinical Medical Physics|July 12, 2018
Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non-small-cell lung cancer treated with stereotactic body radiation therapyHann-Hsiang Chao, Gilmer Valdes, Jose M Luna, et al.
Practical Radiation Oncology|June 2, 2021
Salvage High-Dose-Rate Brachytherapy for Recurrent Prostate Cancer After Definitive RadiationSusan Y Wu, Anthony C Wong, Katsuto Shinohara, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 23, 2017
Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision makingGilmer Valdes, Charles B Simone, Josephine Chen, et al.
JNCI Cancer Spectrum|March 20, 2025
Easy ensemble classifier-group and intersectional fairness and threshold (EEC-GIFT): a fairness-aware machine learning framework for lung cancer screening eligibility using real-world dataPiyawan Conahan, Lary A Robinson, Trung Le, 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)|June 6, 2021
A situational awareness Bayesian network approach for accurate and credible personalized adaptive radiotherapy outcomes prediction in lung cancer patientsYi Luo, Shruti Jolly, David Palma, et al.
Pageof 7

Showing results (21-30 of 63) with videos related to

Sort By:
Pageof 7
Scientific Reports|December 1, 2016
MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision MedicineGilmer Valdes, José Marcio Luna, Eric Eaton, et al.
Journal of Applied Clinical Medical Physics|August 18, 2017
IMRT QA using machine learning: A multi-institutional validationGilmer Valdes, Maria F Chan, Seng Boh Lim, et al.
Medical Dosimetry : Official Journal of the American Association of Medical Dosimetrists|December 28, 2014
Tumor control probability and the utility of 4D vs 3D dose calculations for stereotactic body radiotherapy for lung cancerGilmer Valdes, Clifford Robinson, Percy Lee, et al.
Medical Physics|December 27, 2016
The relative accuracy of 4D dose accumulation for lung radiotherapy using rigid dose projection versus dose recalculation on every breathing phaseGilmer Valdes, Chul Lee, Stephen Tenn, et al.
Medical Physics|April 1, 2018
Deep nets vs expert designed features in medical physics: An IMRT QA case studyYannet Interian, Vincent Rideout, Vasant P Kearney, et al.
Journal of Applied Clinical Medical Physics|July 12, 2018
Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non-small-cell lung cancer treated with stereotactic body radiation therapyHann-Hsiang Chao, Gilmer Valdes, Jose M Luna, et al.
Practical Radiation Oncology|June 2, 2021
Salvage High-Dose-Rate Brachytherapy for Recurrent Prostate Cancer After Definitive RadiationSusan Y Wu, Anthony C Wong, Katsuto Shinohara, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 23, 2017
Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision makingGilmer Valdes, Charles B Simone, Josephine Chen, et al.
JNCI Cancer Spectrum|March 20, 2025
Easy ensemble classifier-group and intersectional fairness and threshold (EEC-GIFT): a fairness-aware machine learning framework for lung cancer screening eligibility using real-world dataPiyawan Conahan, Lary A Robinson, Trung Le, 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)|June 6, 2021
A situational awareness Bayesian network approach for accurate and credible personalized adaptive radiotherapy outcomes prediction in lung cancer patientsYi Luo, Shruti Jolly, David Palma, et al.
Pageof 7