Rajat Dhar

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Washington University in Saint Louis School of Medicine

United States

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About

Rajat Dhar is a Professor at Washington University in St Louis School of Medicine, United States. His research focuses on cerebral edema, stroke outcomes, and imaging biomarkers, with recent articles examining the assessment and treatment of stroke-related complications, particularly in the context of aneurysmal subarachnoid hemorrhage and brain death organ donation. Professor Dhar utilizes advanced methods, including automated imaging techniques and natural language processing, to enhance the understanding and management of critical neurological conditions.

Recent Grants

Grant: Open

Genetic Architecture of Cerebral Edema after Stroke

Open Date: 2022-07-15

Close Date: 2027-05-31

Grant: Close

GENETICS AND PREDICTION OF CEREBRAL EDEMA AFTER HEMISPHERIC STROKE

Open Date: 2017-08-01

Close Date: 2022-07-31

Grant: Close

The role of transfusion in optimizing cerebral oxygen delivery and preventing ischemia after subarachnoid hemorrhage

Open Date: 2010-07-01

Close Date: 2014-06-30

Grant: Close

Genetics and prediction of cerebral edema after hemispheric stroke

Open Date:

Close Date:

Articles (15)

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2020

Collaborators (2)

Joshua Osbun

Washington University School of Medicine

UNITED STATES

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KUNAL BHATIA

Assistant Professor

University of Mississippi Medical Center

UNITED STATES

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Rajat Dhar

Research Interests

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About

Recent Grants

Articles (15)

A Recruitment Maneuver After Apnea Testing Improves Oxygenation and Reduces Atelectasis in Organ Donors After Brain Death

Early automated cerebral edema assessment following endovascular therapy: impact on stroke outcome

Conditioning-based therapeutics for aneurysmal subarachnoid hemorrhage – A critical review

Collateral Status, Reperfusion, and Cerebral Edema After Thrombectomy for Stroke

Imaging biomarkers of cerebral edema automatically extracted from routine CT scans of large vessel occlusion strokes

Rules-based natural language processing to extract features of large vessel occlusion and cerebral edema from radiology reports in stroke patients

CSF-Based Volumetric Imaging Biomarkers Highlight Incidence and Risk Factors for Cerebral Edema After Ischemic Stroke

Early Brain Injury After Subarachnoid Hemorrhage: Incidence and Mechanisms

Automated Quantification of Compartmental Blood Volumes Enables Prediction of Delayed Cerebral Ischemia and Outcomes After Aneurysmal Subarachnoid Hemorrhage

Intravenous Levothyroxine for Unstable Brain-Dead Heart Donors

Accelerating Prediction of Malignant Cerebral Edema After Ischemic Stroke with Automated Image Analysis and Explainable Neural Networks

Commentary on “Midline Shift Greater than 3 mm Independently Predicts Outcome After Ischemic Stroke”

A multicenter randomized placebo-controlled trial of intravenous thyroxine for heart-eligible brain-dead organ donors

Hemispheric CSF volume ratio quantifies progression and severity of cerebral edema after acute hemispheric stroke

Quantitative Serial CT Imaging-Derived Features Improve Prediction of Malignant Cerebral Edema after Ischemic Stroke

Collaborators (2)

Joshua Osbun

KUNAL BHATIA

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