Caitlin Ward
0000-0002-0806-0222
23 papers found
Refreshing results…
Bayesian modeling of dynamic behavioral change during an epidemic
Within-herd transmission of Mycoplasma bovis infections after initial detection in dairy cows
Letter to editor regarding article “fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasis”
Incorporating infectious duration‐dependent transmission into Bayesian epidemic models
Applying network analysis to assess the development and sustainability of multi-sector coalitions
Elderspeak communication and pain severity as modifiable factors to rejection of care in hospital dementia care
An individual level infectious disease model in the presence of uncertainty from multiple, imperfect diagnostic tests
The utility of renal sonographic measurements in differentiating children with high grade congenital hydronephrosis
Radiomic Based Machine Learning Performance for a Three Class Problem in Neuro-Oncology: Time to Test the Waters?
Radiomics-Based Differentiation between Glioblastoma, CNS Lymphoma, and Brain Metastases: Comparing Performance across MRI Sequences and Machine Learning Models
Radiomics Detection of Pulmonary Hypertension via Texture-Based Assessments of Cardiac MRI: A Machine-Learning Model Comparison—Cardiac MRI Radiomics in Pulmonary Hypertension
Survival prediction in glioblastoma on post-contrast magnetic resonance imaging using filtration based first-order texture analysis: Comparison of multiple machine learning models
Radiomics side experiments and DAFIT approach in identifying pulmonary hypertension using Cardiac MRI derived radiomics based machine learning models
Glioblastoma and primary central nervous system lymphoma: differentiation using MRI derived first-order texture analysis – a machine learning study
Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques
Machine learning based differentiation of glioblastoma from brain metastasis using MRI derived radiomics
Modeling population and subject-specific growth in a latent trait measured by multiple instruments over time using a hierarchical Bayesian framework
Presurgical detection of brain invasion status in meningiomas based on first-order histogram based texture analysis of contrast enhanced imaging
Comparing the outcomes of two independent computed tomography perfusion softwares and their impact on therapeutic decisions in acute ischemic stroke
Cerebral computed tomographic angiography using third-generation reconstruction algorithm provides improved image quality with lower contrast and radiation dose
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