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P Hobbs

Showing results (101-110 of 218) with videos related to

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Cancer Informatics|June 10, 2016
A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue CharacterizationKassandra M Fronczyk, Michele Guindani, Brian P Hobbs, et al.
Public Health|March 1, 1986
A computer-managed call and recall system for cervical screeningD Haran, P Hobbs, L L Pendleton, et al.
Australian Veterinary Journal|April 20, 2004
Occurrence of gastrointestinal parasites in horses in metropolitan Perth, Western AustraliaA C Boxell, K T Gibson, R P Hobbs, et al.
Cancer Detection and Prevention|January 1, 1983
Public and professional aspects of the use of education in the control and prevention of cancerP Hobbs, D Haran, L L Pendleton, et al.
Clinical Trials (London, England)|February 7, 2022
Bayesian basket trial design with false-discovery rate controlEmily C Zabor, Michael J Kane, Satrajit Roychoudhury, et al.
Biometrics|April 9, 2015
Predictive classification of correlated targets with application to detection of metastatic cancer using functional CT imagingYuan Wang, Brian P Hobbs, Jianhua Hu, et al.
Medical Physics|March 1, 2022
A hybrid deep learning model for forecasting lymphocyte depletion during radiation therapySaba Ebrahimi, Gino Lim, Brian P Hobbs, et al.
Biostatistics (Oxford, England)|April 2, 2025
Within-trial data borrowing for sequential multiple assignment randomized trialsAles Kotalik, David M Vock, Nancy E Sherwood, et al.
Cancer Metastasis Reviews|January 30, 2026
PD-L1 subpopulations of metastatic urothelial carcinoma demonstrate heterogeneity to chemotherapy: an integrated analysis of digitized trial resultsJie Zhou, Xun Jiang, Qing Liu, et al.
Scientific Reports|July 1, 2024
Machine learning identifies prognostic subtypes of the tumor microenvironment of NSCLCDuo Yu, Michael J Kane, Eugene J Koay, et al.
Pageof 22

Showing results (101-110 of 218) with videos related to

Sort By:
Pageof 22
Cancer Informatics|June 10, 2016
A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue CharacterizationKassandra M Fronczyk, Michele Guindani, Brian P Hobbs, et al.
Public Health|March 1, 1986
A computer-managed call and recall system for cervical screeningD Haran, P Hobbs, L L Pendleton, et al.
Australian Veterinary Journal|April 20, 2004
Occurrence of gastrointestinal parasites in horses in metropolitan Perth, Western AustraliaA C Boxell, K T Gibson, R P Hobbs, et al.
Cancer Detection and Prevention|January 1, 1983
Public and professional aspects of the use of education in the control and prevention of cancerP Hobbs, D Haran, L L Pendleton, et al.
Clinical Trials (London, England)|February 7, 2022
Bayesian basket trial design with false-discovery rate controlEmily C Zabor, Michael J Kane, Satrajit Roychoudhury, et al.
Biometrics|April 9, 2015
Predictive classification of correlated targets with application to detection of metastatic cancer using functional CT imagingYuan Wang, Brian P Hobbs, Jianhua Hu, et al.
Medical Physics|March 1, 2022
A hybrid deep learning model for forecasting lymphocyte depletion during radiation therapySaba Ebrahimi, Gino Lim, Brian P Hobbs, et al.
Biostatistics (Oxford, England)|April 2, 2025
Within-trial data borrowing for sequential multiple assignment randomized trialsAles Kotalik, David M Vock, Nancy E Sherwood, et al.
Cancer Metastasis Reviews|January 30, 2026
PD-L1 subpopulations of metastatic urothelial carcinoma demonstrate heterogeneity to chemotherapy: an integrated analysis of digitized trial resultsJie Zhou, Xun Jiang, Qing Liu, et al.
Scientific Reports|July 1, 2024
Machine learning identifies prognostic subtypes of the tumor microenvironment of NSCLCDuo Yu, Michael J Kane, Eugene J Koay, et al.
Pageof 22