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Alex K. Bratt, M.D.

  1. Radiologist

Publications

  1. Fletcher JG, Inoue A, Bratt A, Horst KK, Koo CW, Rajiah PS, Baffour FI, Ko JP, Remy-Jardin M, McCollough CH, Yu L. Photon-counting CT in Thoracic Imaging: Early Clinical Evidence and Incorporation Into Clinical Practice. Radiology. 2024 Mar; 310 (3):e231986
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  2. Reddy P, Anand V, Rajiah P, Larson NB, Bird J, Williams JM, Williamson EE, Nishimura RA, Crestanello JA, Arghami A, Collins JD, Bratt A. Predicting postoperative systolic dysfunction in mitral regurgitation: CT vs. echocardiography. Front Cardiovasc Med. 2024; 11:1297304 Epub 2024 Feb 23
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  3. Parker WA, Vigneault DM, Yang I, Bratt A, Marquardt AC, Sharifi H, Guo HH. Opportunistic Screening for Atrial Fibrillation on Routine Chest Computed Tomography. J Thorac Imaging. 2023 Sep 1; 38 (5):270-277 Epub 2023 Mar 06
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  4. Koo CW, Williams JM, Liu G, Panda A, Patel PP, Frota Lima LMM, Karwoski RA, Moua T, Larson NB, Bratt A. Quantitative CT and machine learning classification of fibrotic interstitial lung diseases. Eur Radiol. 2022 Dec; 32 (12):8152-8161 Epub 2022 June 09
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  5. Bratt A, Williams JM, Liu G, Panda A, Patel PP, Walkoff L, Sykes AG, Tandon YK, Francois CJ, Blezek DJ, Larson NB, Erickson BJ, Yi ES, Moua T, Koo CW. Predicting usual interstitial pneumonia histopathology from chest CT imaging with deep learning. Chest. 2022 Oct; 162 (4):815-823 Epub 2022 Apr 08
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  6. Haq IU, Davies DR, Yao R, Bratt A, Sinak LJ, Singh M. Effusive-Constrictive Tuberculosis Pericarditis with Biventricular Systolic Dysfunction. CASE (Phila). 2022 Jul; 6 (5):212-217 Epub 2022 May 13
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  7. Bratt A, Blezek DJ, Ryan WJ, Philbrick KA, Rajiah P, Tandon YK, Walkoff LA, Cai JC, Sheedy EN, Korfiatis P, Williamson EE, Erickson BJ, Collins JD. Deep Learning Improves the Temporal Reproducibility of Aortic Measurement. J Digit Imaging. 2021 Oct; 34 (5):1183-1189 Epub 2021 May 28
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  8. Eltorai AEM, Bratt AK, Guo HH. Thoracic Radiologists' Versus Computer Scientists' Perspectives on the Future of Artificial Intelligence in Radiology. J Thorac Imaging. 2020 Jul; 35 (4):255-259
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  9. Beecy AN, Bratt A, Yum B, Sultana R, Das M, Sherifi I, Devereux RB, Weinsaft JW, Kim J. Development of novel machine learning model for right ventricular quantification on echocardiography-A multimodality validation study. Echocardiography. 2020 May; 37 (5):688-697 Epub 2020 May 12
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  10. Bratt A, Guenther Z, Hahn LD, Kadoch M, Adams P, Leung, Guo HH. Left Atrial Volume as a Biomarker of Atrial Fibrillation on Routine Chest CT: A Deep Learning Approach. Radiology: Cardiothoracic Imaging. 2019.
  11. Bratt A. Why Radiologists Have Nothing to Fear From Deep Learning. J Am Coll Radiol. 2019 Apr 18 [Epub ahead of print]
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  12. Bratt A, Kim J, Pollie M, Beecy AN, Tehrani NH, Codella N, Perez-Johnston R, Palumbo MC, Alakbarli J, Colizza W, Drexler IR, Azevedo CF, Kim RJ, Devereux RB, Weinsaft JW. Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification. J Cardiovasc Magn Reson. 2019 Jan 7; 21 (1):1 Epub 2019 Jan 07
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  13. Appelboom G, Piazza M, Hwang BY, Bruce S, Smith S, Bratt A, Bagiella E, Badjatia N, Mayer S, Sander Connolly E. Complement Factor H Y402H polymorphism is associated with an increased risk of mortality after intracerebral hemorrhage. J Clin Neurosci. 2011 Nov; 18 (11):1439-43 Epub 2011 Aug 25
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  14. Cordo PJ, Horn JL, Kunster D, Cherry A, Bratt A, Gurfinkel V. Contributions of skin and muscle afferent input to movement sense in the human hand. J Neurophysiol. 2011 Apr; 105 (4):1879-88 Epub 2011 Feb 09
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  15. Horn JL, Cordo P, Kunster D, Harvey C, Cherry A, Bratt A, Gurfinkel V. Progression of forearm intravenous regional anesthesia with ropivacaine. Reg Anesth Pain Med. 2011 Mar-Apr; 36 (2):177-80
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PST-20471568