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Aditya Killekar
Aditya Killekar
Research Software Engineer, Cedars Sinai Medical Center
Verified email at cshs.org
Title
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Cited by
Year
Two-branch recurrent network for isolating deepfakes in videos
I Masi, A Killekar, RM Mascarenhas, SP Gurudatt, W AbdAlmageed
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
3772020
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study
A Lin, N Manral, P McElhinney, A Killekar, H Matsumoto, J Kwiecinski, ...
The Lancet Digital Health 4 (4), e256-e265, 2022
1222022
Deep learning of coronary calcium scores from PET/CT attenuation maps accurately predicts adverse cardiovascular events
K Pieszko, A Shanbhag, A Killekar, RJH Miller, M Lemley, Y Otaki, ...
Cardiovascular Imaging 16 (5), 675-687, 2023
252023
Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events
RJH Miller, K Pieszko, A Shanbhag, A Feher, M Lemley, A Killekar, ...
Journal of Nuclear Medicine 64 (4), 652-658, 2023
232023
Deep learning for explainable estimation of mortality risk from myocardial positron emission tomography images
A Singh, J Kwiecinski, RJH Miller, Y Otaki, PB Kavanagh, ...
Circulation: Cardiovascular Imaging 15 (9), e014526, 2022
202022
Automated nonlinear registration of coronary PET to CT angiography using pseudo-CT generated from PET with generative adversarial networks
A Singh, J Kwiecinski, S Cadet, A Killekar, E Tzolos, MC Williams, ...
Journal of Nuclear Cardiology 30 (2), 604-615, 2023
162023
AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging
RJH Miller, A Shanbhag, A Killekar, M Lemley, B Bednarski, ...
JACC: Cardiovascular Imaging, 2024
72024
Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks
K Pieszko, A Shanbhag, A Killekar, M Lemley, Y Otaki, S Van Kriekinge, ...
Medical Imaging 2022: Image Processing 12032, 865-871, 2022
72022
Deep Learning From Coronary Computed Tomography Angiography for Atherosclerotic Plaque and Stenosis Quantification and Cardiac Risk Prediction
A Lin, N Manral, P McElhinney, A Killekar, H Matsumoto, J Kwiecinski, ...
62022
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks.
K Grodecki, A Killekar, A Lin, S Cadet, P McElhinney, A Razipour, C Chan, ...
ArXiv, 2021
42021
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging
RJH Miller, A Shanbhag, A Killekar, M Lemley, B Bednarski, ...
NPJ Digital Medicine 7 (1), 24, 2024
32024
Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CT
AD Shanbhag, K Pieszko, RJH Miller, A Killekar, W Parker, H Gransar, ...
Medical Imaging 2023: Image Processing 12464, 81-84, 2023
32023
Radiomorphological signs and clinical severity of SARS-CoV-2 lineage B. 1.1. 7
J Simon, K Grodecki, S Cadet, A Killekar, P Slomka, SJ Zara, ...
BJR| Open 4 (1), 20220016, 2022
32022
Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography
RJH Miller, A Killekar, A Shanbhag, B Bednarski, AM Michalowska, ...
Nature Communications 15 (1), 2747, 2024
22024
Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems
K Grodecki, A Killekar, J Simon, A Lin, S Cadet, P McElhinney, C Chan, ...
The British Journal of Radiology 96 (1149), 20220180, 2023
22023
Artificial intelligence-based plaque quantification from coronary computed tomography angiography using deep learning: External validation and comparison with intravascular …
A Lin, N Manral, P McElhinney, A Killekar, H Matsumoto, J Kwiecinski, ...
Journal of Cardiovascular Computed Tomography 15 (4), S5-S6, 2021
22021
COVID-19 lesion segmentation using convolutional LSTM for self-attention
A Killekar, K Grodecki, A Lin, S Cadet, P McElhinney, A Razipour, C Chan, ...
Medical Imaging 2022: Image Processing 12032, 955-960, 2022
12022
IMPROVED MORTALITY RISK ASSESSMENT FROM MYOCARDIAL PET FLOW, PERFUSION AND CALCIUM SCORES USING ARTIFICIAL INTELLIGENCE
A Singh, K Pieszko, A Shanbhag, J Kwiecinski, RJH Miller, Y Otaki, ...
Journal of the American College of Cardiology 79 (9_Supplement), 1182-1182, 2022
12022
Deep learning-based plaque quantification from coronary computed tomography angiography: external validation and comparison with intravascular ultrasound
A Lin, N Manral, P McElhinney, A Killekar, H Matsumoto, S Cadet, ...
European Heart Journal 42 (Supplement_1), ehab724. 0161, 2021
12021
AI-derived multi-structure analysis from cardiac SPECT/CT attenuation maps improves mortality prediction from myocardial perfusion imaging
A Michalowska, W Zhang, A Shanbhag, R Miller, B Mikolaj, B Bednarski, ...
Journal of Nuclear Medicine 65 (supplement 2), 242168-242168, 2024
2024
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