Hobbs, Brian P.

Randomized Controlled Trials

Zabor, E. C., Kaizer, A. M., & Hobbs, B. P. (2020) · Chest

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 294

Development of an Immune-Pathology Informed Radiomics Model for Non-Small Cell Lung Cancer

Tang, C., Hobbs, B., Amer, A., Li, X., Behrens, C., Canales, J. R., Cuentas, E. P., Villalobos, P., Fried, D., Chang, J. Y., et al. (2018) · Scientific Reports

Radiomics and Machine Learning in Medical ImagingCancer Immunotherapy and Biomarkers

Cited by 154

A Visually Apparent and Quantifiable CT Imaging Feature Identifies Biophysical Subtypes of Pancreatic Ductal Adenocarcinoma

Koay, E. J., Lee, Y., Cristini, V., Lowengrub, J. S., Kang, Y., Lucas, F. A. S., Hobbs, B. P., Ye, R., Elganainy, D., Almahariq, M., et al. (2018) · Clinical Cancer Research

Pancreatic and Hepatic Oncology ResearchRadiomics and Machine Learning in Medical Imaging

Cited by 110

From Protocols to Publications: A Study in Selective Reporting of Outcomes in Randomized Trials in Oncology

Raghav, K. P. S., Mahajan, S., Yao, J. C., Hobbs, B. P., Berry, D. A., Pentz, R. D., Tam, A., Hong, W. K., Ellis, L. M., Abbruzzese, J., et al. (2015) · Journal of Clinical Oncology

Meta-analysis and systematic reviewsPharmaceutical industry and healthcare

Cited by 59

Integrative Bayesian analysis of neuroimaging-genetic data with application to cocaine dependence

Azadeh, S., Hobbs, B. P., Ma, L., Nielsen, D. A., Gerard Moeller, F., & Baladandayuthapani, V. (2016) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsGenetic Associations and Epidemiology

Cited by 12