Aditya Killekar

Also affiliated with Mount Sinai Medical Center

MedicineEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 17 papers. Top paper: “AI for Multistructure Incidental Findings and Mortality Prediction at Chest CT in Lung Cancer Screening”.

AI for Multistructure Incidental Findings and Mortality Prediction at Chest CT in Lung Cancer Screening

Radiology(2024)10.1148/radiol.240541

N/A

0.937DataRank · unranked

18 citations

Mikołaj Buchwald, Aakash Shanbhag, Bryan Bednarski, Aditya Killekar, Robert J.H. Miller +6 more

AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging

JACC. Cardiovascular imaging(2024)10.1016/j.jcmg.2024.01.006

N/A

0.529DataRank · unranked

33 citations

Aakash Shanbhag, Aditya Killekar, Mark Lemley, Bryan Bednarski, Paul Kavanagh +10 more

Automated vessel-specific coronary artery calcification quantification with deep learning in a large multi-centre registry

European Heart Journal - Cardiovascular Imaging(2024)10.1093/ehjci/jeae045

N/A

0.489DataRank · unranked

25 citations

Aakash Shanbhag, Jianhang Zhou, Anna M. Michałowska, Mark Lemley, Robert J.H. Miller +12 more

Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction

medRxiv(2024)10.1101/2024.04.23.24305735

N/A

0.208DataRank · unranked

3 citations

Wenhao Zhang, Aakash Shanbhag, Robert J.H. Miller, Mark A. Lemley, Giselle Ramirez +14 more

AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter study

medRxiv(2024)10.1101/2024.07.30.24311224

N/A

0DataRank · unranked

2 citations

Anna M. Michałowska, Aakash Shanbhag, Robert J.H. Miller, Jolien Geers, Wenhao Zhang +18 more

AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study

The Lancet Digital Health(2025)10.1016/j.landig.2025.02.002

N/A

0DataRank · unranked

10 citations

Anna M Marcinkiewicz, Aakash Shanbhag, Robert J.H. Miller, Jolien Geers, Wenhao Zhang +18 more

Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment

European Heart Journal - Cardiovascular Imaging(2025)10.1093/ehjci/jeaf007

N/A

0DataRank · unranked

4 citations

Aakash Shanbhag, Donghee Han, Anna M. Michałowska, Mikołaj Buchwald, Robert J H Miller +13 more

Dynamic frame-by-frame motion correction for 18F-flurpiridaz PET-MPI using convolution neural network

European Journal of Nuclear Medicine and Molecular Imaging(2025)10.1007/s00259-025-07660-x

N/A

0DataRank · unranked

1 citations

Aditya Killekar, Valerie Builoff, Mark A. Lemley, Chih-Chun Wei, Giselle Ramirez +4 more

82Rb positron emission tomography myocardial blood flow quantification: Influence of arterial input curve quality on diagnostic accuracy

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102270

N/A

0DataRank · unranked

2 citations

Mark Lemley, Valerie Builoff, Wenhao Zhang, Keiichiro Kuronuma, Giselle Ramirez +13 more

Priming with specific context improves large language model performance on nuclear cardiology board preparation test

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102269

N/A

0DataRank · unranked

2 citations

Valerie Builoff, Aditya Killekar, Aakash Shanbhag, Robert J.H. Miller, Damini Dey +8 more

Dynamic frame-by-frame motion correction for 18 F-flurpiridaz PET-MPI using convolution neural network

medRxiv(2025)10.1101/2025.06.27.25330436

N/A

0DataRank · unranked

1 citations

Aditya Killekar, Valerie Builoff, Mark A. Lemley, Chih-Chun Wei, Giselle Ramirez +4 more

Imaging small dynamic lesions using positron emission tomography and computed tomography: an 18F-sodium fluoride valvular phantom study

European Heart Journal - Imaging Methods and Practice(2025)10.1093/ehjimp/qyaf013

N/A

0DataRank · unranked

0 citations

Jacek Kwieciński, Hidenobu Hashimoto, Mark Hyun, Keiichiro Kuronuma, Aditya Killekar +9 more

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks

Journal of Medical Imaging(2022)10.1117/1.jmi.9.5.054001

N/A

0DataRank · unranked

3 citations

Kajetan Grodecki, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour +21 more

Ejection fraction quantification from ungated chest CT by AI

medRxiv(2025)10.1101/2025.11.14.25339933

N/A

0DataRank · unranked

0 citations

Jacek Kwieciński, Aakash Shanbhag, Konrad Pieszko, Giselle Ramirez, Mark Lemley +26 more

Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems

British Journal of Radiology(2023)10.1259/bjr.20220180

N/A

0DataRank · unranked

6 citations

Aditya Killekar, Judit Simon, Andrew Lin, Sebastien Cadet, Priscilla McElhinney +22 more

Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography

Nature Communications(2024)10.1038/s41467-024-46977-3

N/A

0DataRank · unranked

40 citations

Aditya Killekar, Aakash Shanbhag, Bryan Bednarski, Anna M. Michałowska, Terrence D. Ruddy +12 more

AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging

npj Digital Medicine(2024)10.1038/s41746-024-01020-z

N/A

0DataRank · unranked

39 citations

Aakash Shanbhag, Aditya Killekar, Mark Lemley, Bryan Bednarski, Serge D. Van Kriekinge +11 more