Stephen R. Bowen
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View article: Liver injury and recovery following radiation therapy for hepatocellular carcinoma: insights from functional liver imaging
Liver injury and recovery following radiation therapy for hepatocellular carcinoma: insights from functional liver imaging Open
Aim: A critical need for hepatocellular carcinoma (HCC) management is understanding how the liver recovers following radiotherapy (RT). We hypothesized that functional liver imaging with 99mTc-sulfur colloid (SC) SPECT/CT provides addition…
View article: GWO+RuleFit: rule-based explainable machine-learning combined with heuristics to predict mid-treatment FDG PET response to chemoradiation for locally advanced non-small cell lung cancer
GWO+RuleFit: rule-based explainable machine-learning combined with heuristics to predict mid-treatment FDG PET response to chemoradiation for locally advanced non-small cell lung cancer Open
Objective. Vital rules learned from fluorodeoxyglucose positron emission tomography (FDG-PET) radiomics of tumor subregional response can provide clinical decision support for precise treatment adaptation. We combined a rule-based machine …
View article: Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration
Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration Open
Multiomics data including imaging radiomics and various types of molecular biomarkers have been increasingly investigated for better diagnosis and therapy in the era of precision oncology. Artificial intelligence (AI) including machine lea…
View article: Automated treatment planning for proton pencil beam scanning using deep learning dose prediction and dose‐mimicking optimization
Automated treatment planning for proton pencil beam scanning using deep learning dose prediction and dose‐mimicking optimization Open
Purpose The purpose of this study is to investigate the use of a deep learning architecture for automated treatment planning for proton pencil beam scanning (PBS). Methods A 3‐dimensional (3D) U‐Net model has been implemented in a commerci…
View article: Supplement from Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging
Supplement from Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging Open
Complete methodological description of the Voxel Forecast modeling framework and benchmarking simulations.
View article: Supplement from Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging
Supplement from Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging Open
Complete methodological description of the Voxel Forecast modeling framework and benchmarking simulations.
View article: Data from Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging
Data from Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging Open
Purpose:Prediction of spatially variant response to cancer therapies can inform risk-adaptive management within precision oncology. We developed the “Voxel Forecast” multiscale regression framework for predicting spatially variant tumor re…
View article: Data from Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging
Data from Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging Open
Purpose:Prediction of spatially variant response to cancer therapies can inform risk-adaptive management within precision oncology. We developed the “Voxel Forecast” multiscale regression framework for predicting spatially variant tumor re…
View article: Assessment of Cardiac, Vascular, and Pulmonary Pathobiology In Vivo During Acute COVID‐19
Assessment of Cardiac, Vascular, and Pulmonary Pathobiology In Vivo During Acute COVID‐19 Open
Background Acute COVID‐19–related myocardial, pulmonary, and vascular pathology and how these relate to each other remain unclear. To our knowledge, no studies have used complementary imaging techniques, including molecular imaging, to elu…
View article: Radiation and immune checkpoint inhibitor-mediated pneumonitis risk stratification in patients with locally advanced non-small cell lung cancer: role of functional lung radiomics?
Radiation and immune checkpoint inhibitor-mediated pneumonitis risk stratification in patients with locally advanced non-small cell lung cancer: role of functional lung radiomics? Open
Background Patients undergoing chemoradiation and immune checkpoint inhibitor (ICI) therapy for locally advanced non-small cell lung cancer (NSCLC) experience pulmonary toxicity at higher rates than historical reports. Identifying biomarke…
View article: P10 Activity of the spleen and bone marrow in relation to cardio-pulmonary injury in patients with acute covid-19 evaluated by 18F-fluorodeoxyglucose positron emission tomography/computed tomography imaging
P10 Activity of the spleen and bone marrow in relation to cardio-pulmonary injury in patients with acute covid-19 evaluated by 18F-fluorodeoxyglucose positron emission tomography/computed tomography imaging Open
Objective: COVID-19 primarily causes pneumonitis but can also cause myocarditis. Injury may be due to a generalised inflammatory immune process or by direct viral infection. Using 18F-fluorodeoxyglucose positron emission tomography/compute…
View article: Radiation and immune checkpoint inhibitor-mediated pneumonitis risk stratification in patients with locally advanced non-small cell lung cancer: role of functional lung radiomics?
Radiation and immune checkpoint inhibitor-mediated pneumonitis risk stratification in patients with locally advanced non-small cell lung cancer: role of functional lung radiomics? Open
Background: Patients undergoing chemoradiation and immune checkpoint inhibitor (ICI) therapy for locally advanced non-small cell lung cancer (LA-NSCLC) experience pulmonary toxicity at higher rates than historical reports. We investigated …
View article: Assessment of cardiovascular & pulmonary pathobiology in vivo during acute COVID-19
Assessment of cardiovascular & pulmonary pathobiology in vivo during acute COVID-19 Open
Importance: Acute COVID19 related myocardial, pulmonary and vascular pathology, and how these relate to each other, remains unclear. No studies have used complementary imaging techniques, including molecular imaging, to elucidate this. Obj…
View article: Multitask Learning Radiomics on Longitudinal Imaging to Predict Survival Outcomes following Risk-Adaptive Chemoradiation for Non-Small Cell Lung Cancer
Multitask Learning Radiomics on Longitudinal Imaging to Predict Survival Outcomes following Risk-Adaptive Chemoradiation for Non-Small Cell Lung Cancer Open
Medical imaging provides quantitative and spatial information to evaluate treatment response in the management of patients with non-small cell lung cancer (NSCLC). High throughput extraction of radiomic features on these images can potenti…
View article: Gradient boosted trees for spatial data and its application to medical imaging data
Gradient boosted trees for spatial data and its application to medical imaging data Open
Boosting Trees are one of the most successful statistical learning approaches that involve sequentially growing an ensemble of simple regression trees ("weak learners"). This paper proposes a gradient Boosted Trees algorithm for Spatial Da…
View article: A system for equitable workload distribution in clinical medical physics
A system for equitable workload distribution in clinical medical physics Open
Background Clinical medical physics duties include routine tasks, special procedures, and development projects. It can be challenging to distribute the effort equitably across all team members, especially in large clinics or systems where …