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Lea Azour
Lea Azour
David Geffen School of Medicine at UCLA
Verified email at mednet.ucla.edu
Title
Cited by
Cited by
Year
Increased incidence of barotrauma in patients with COVID-19 on invasive mechanical ventilation
G McGuinness, C Zhan, N Rosenberg, L Azour, M Wickstrom, DM Mason, ...
Radiology 297 (2), E252-E262, 2020
3322020
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S Jastrzębski, ...
NPJ digital medicine 4 (1), 80, 2021
1282021
Estimation of cardiovascular risk on routine chest CT: Ordinal coronary artery calcium scoring as an accurate predictor of Agatston score ranges
L Azour, MA Kadoch, TJ Ward, CD Eber, AH Jacobi
Journal of cardiovascular computed tomography 11 (1), 8-15, 2017
972017
Covid-19 prognosis via self-supervised representation learning and multi-image prediction
A Sriram, M Muckley, K Sinha, F Shamout, J Pineau, KJ Geras, L Azour, ...
arXiv preprint arXiv:2101.04909, 2021
652021
Management of incidental lung nodules
JP Ko, L Azour
Seminars in Ultrasound, CT and MRI 39 (3), 249-259, 2018
362018
Chest CT angiography for acute aortic pathologic conditions: pearls and pitfalls
JP Ko, JM Goldstein, LA Latson Jr, L Azour, EK Gozansky, W Moore, ...
Radiographics 41 (2), 399-424, 2021
302021
The gravid uterus: MR imaging and reporting of abnormal placentation
L Azour, C Besa, S Lewis, A Kamath, ER Oliver, B Taouli
Abdominal Radiology 41, 2411-2423, 2016
292016
Bronchiolar adenoma/pulmonary ciliated muconodular papillary tumor: potential pitfall on frozen sections
H Shirsat, F Zhou, JC Chang, N Rekhtman, A Saqi, K Argyropoulos, ...
American journal of clinical pathology 155 (6), 832-844, 2021
282021
Percutaneous transthoracic lung biopsy: optimizing yield and mitigating risk
L Azour, S Liu, SL Washer, WH Moore
Journal of Computer Assisted Tomography 45 (5), 765-775, 2021
162021
Low-field 0.55 T MRI for assessment of pulmonary groundglass and fibrosis-like opacities: Inter-reader and inter-modality concordance
L Azour, R Condos, MB Keerthivasan, M Bruno, TP Sood, N Landini, ...
European journal of radiology 156, 110515, 2022
122022
COVID-19 deterioration prediction via self-supervised representation learning and multi-image prediction
A Sriram, M Muckley, K Sinha, F Shamout, J Pineau, KJ Geras, L Azour, ...
arXiv preprint arXiv:2101.04909, 2021
112021
Incidental lung nodules on cross-sectional imaging: current reporting and management
L Azour, JP Ko, SL Washer, A Lanier, G Brusca-Augello, JB Alpert, ...
Radiologic Clinics 59 (4), 535-549, 2021
102021
Imaging course of lung transplantation: from patient selection to postoperative complications
SJ Kim, L Azour, BD Hutchinson, H Shirsat, F Zhou, N Narula, AL Moreira, ...
Radiographics 41 (4), 1043-1063, 2021
82021
Shades of gray: subsolid nodule considerations and management
L Azour, JP Ko, DP Naidich, WH Moore
Chest 159 (5), 2072-2089, 2021
82021
Combined whole-lesion radiomic and iodine analysis for differentiation of pulmonary tumors
L Azour, JP Ko, T O’Donnell, N Patel, P Bhattacharji, WH Moore
Scientific Reports 12 (1), 11813, 2022
72022
Causative factors, imaging findings, and CT course of round atelectasis
L Azour, T Billah, MM Salvatore, MD Cham, DS Mendelson, CD Eber, ...
Clinical Imaging 50, 250-257, 2018
72018
Radiologic and pathologic correlation of anterior mediastinal lesions
L Azour, AL Moreira, SL Washer, JP Ko
Mediastinum 4, 2020
62020
Congenital coronary artery anomalies and implications
L Azour, AH Jacobi, JB Alpert, S Uppu, L Latson Jr, D Mason, MD Cham
Journal of Thoracic Imaging 33 (5), W30-W38, 2018
62018
Deep learning denoising of low-dose computed tomography chest images: a quantitative and qualitative image analysis
L Azour, Y Hu, JP Ko, B Chen, F Knoll, JB Alpert, G Brusca-Augello, ...
Journal of Computer Assisted Tomography 47 (2), 212-219, 2023
52023
Inter-reader variability of volumetric subsolid pulmonary nodule radiomic features
L Azour, WH Moore, T O'Donnell, MT Truong, J Babb, B Niu, A Wimmer, ...
Academic radiology 29, S98-S107, 2022
52022
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