SARV PRIYA

Clinical Assistant Professor, Director Cardiac Imaging, Medical Director 3D Lab

University of Iowa Hospitals and Clinics

United States

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About

Sarv Priya is a Clinical Assistant Professor and the Director of Cardiac Imaging at The University of Iowa Hospitals and Clinics in the United States. His research focuses on advanced imaging techniques, particularly in cardiac MRI, AI applications in neuro-oncology, and the optimization of radiomic features in various imaging modalities. Recent publications include work on myocardial CT radiomics, machine learning for tumor classification, and the use of deep learning in cardiac MRI segmentation.

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UNITED STATES

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Knute Carter

Clinical Associate Professor

The University of Iowa

UNITED STATES

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SARV PRIYA

Research Interests

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Articles (20)

Addressing Inter-reconstruction variability in multi-energy myocardial CT Radiomics: The Benefits of combat harmonization

Computed Tomography Angiography for Aortic Diseases

Differentiation Between Glioblastoma and Metastatic Disease on Conventional MRI Imaging Using 3D-Convolutional Neural Networks: Model Development and Validation

Myocardial deformation in multisystem inflammatory syndrome in children: layer-specific cardiac MRI insights from a pediatric cohort

Optimizing Deep Learning for Cardiac MRI Segmentation: The Impact of Automated Slice Range Classification

Utilizing Artificial Intelligence-Based Deformable Registration for Global and Layer-Specific Cardiac MRI Strain Analysis in Healthy Children and Young Adults

Letter to editor regarding article “fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasis”

Subclinical cardiac involvement in student athletes after COVID-19 infection - Evaluation using feature tracking cardiac MRI strain analysis

Automatic Multiple Articulator Segmentation in Dynamic Speech MRI Using a Protocol Adaptive Stacked Transfer Learning U-NET Model

ComBat Harmonization of Myocardial Radiomic Features Sensitive to Cardiac MRI Acquisition Parameters

AI-based classification of three common malignant tumors in neuro-oncology: A multi-institutional comparison of machine learning and deep learning methods

Clinical and Magnetic Resonance Imaging Radiomics-Based Survival Prediction in Glioblastoma Using Multiparametric Magnetic Resonance Imaging

Imaging of the Rare Association of Truncus Arteriosus in a Neonate with the Ductal Origin of the Left Subclavian Artery Using Multidetector CT Angiography and 3D Rendering.

Do CT Perfusion Maps Increase Accuracy for Detection of M2-MCA Occlusions in Acute Ischemic Stroke?

Image level detection of large vessel occlusion on 4D-CTA perfusion data using deep learning in acute stroke

Left ventricular assist device pseudo-thrombosis due to use of metal artifact reduction algorithm on cardiac CT

Prevalence and significance of incidental findings on computed tomography pulmonary angiograms: A retrospective cohort study

Segmental testicular infarct with an associated testicular artery aneurysm: Case report of a rare clinical entity

Variational Manifold Learning From Incomplete Data: Application to Multislice Dynamic MRI

A Rare Case of Emphysematous Osteomyelitis of Femur in an Intravenous Drug User.

Collaborators (6)

Colin Derdeyn

David Meyer

Sabarish Narayanasamy

Sajan Goud Lingala

Suyash Mohan

Knute Carter

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