Aditya Killekar

6PUBLICATIONS
36CO-AUTHORS
Computational physiologyCognitionData structures and algorithmsCancer diagnosis
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Publications (6)

|Jul 21, 2026
Correction to: "Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis".

|May 13, 2025
Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart Failure.

Waseem Hijazi, Aakash Shanbhag, Robert J H Miller

|Oct 15, 2024
Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis.

Robert J H Miller, Nipun Manral, Andrew Lin

|Sep 17, 2024
AI for Multistructure Incidental Findings and Mortality Prediction at Chest CT in Lung Cancer Screening.

Anna M Marcinkiewicz, Mikolaj Buchwald, Aakash Shanbhag

|Mar 30, 2024
Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography.

Robert J H Miller, Aditya Killekar, Aakash Shanbhag

|Sep 12, 2022
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks.

Aditya Killekar, Kajetan Grodecki, Andrew Lin

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Frequent Collaborators

6 joint publications

Piotr Slomka

5 joint publications

Damini Dey

5 joint publications

Daniel S Berman

4 joint publications

Robert J H Miller