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Damini Dey

Title(s)Professor-in-Residence, Medicine
SchoolMedicine
Phone(310) 423-1517
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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Grodecki K, Cadet S, Staruch AD, Michalowska AM, Kepka C, Wolny R, Pregowski J, Kruk M, Debski M, Debski A, Michalowska I, Slomka PJ, Witkowski A, Dey D, Opolski MP. Noncalcified plaque burden quantified from coronary computed tomography angiography improves prediction of side branch occlusion after main vessel stenting in bifurcation lesions: results from the CT-PRECISION registry. Clin Res Cardiol. 2020 May 08. PMID: 32385529.
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    2. Tzolos E, McElhinney P, Williams MC, Cadet S, Dweck MR, Berman DS, Slomka PJ, Newby DE, Dey D. Repeatability of quantitative pericoronary adipose tissue attenuation and coronary plaque burden from coronary CT angiography. J Cardiovasc Comput Tomogr. 2020 Apr 14. PMID: 32312662.
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    3. Chen LQ, Tsiamtsiouris E, Singh H, Rapelje K, Weber J, Dey D, Kosmidou I, Levine J, Cao JJ. Prevalence of Coronary Artery Calcium in Patients With Atrial Fibrillation With and Without Cardiovascular Risk Factors. Am J Cardiol. 2020 Apr 08. PMID: 32336536.
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    4. Williams MC, Kwiecinski J, Doris M, McElhinney P, D'Souza MS, Cadet S, Adamson PD, Moss AJ, Alam S, Hunter A, Shah ASV, Mills NL, Pawade T, Wang C, Weir McCall J, Bonnici-Mallia M, Murrills C, Roditi G, van Beek EJR, Shaw LJ, Nicol ED, Berman DS, Slomka PJ, Newby DE, Dweck MR, Dey D. Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction: Results From the Multicenter SCOT-HEART Trial (Scottish Computed Tomography of the HEART). Circulation. 2020 Mar 16. PMID: 32174130.
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    5. Yang HJ, Dey D, Sykes J, Butler J, Biernaski H, Kovacs M, Bi X, Sharif B, Cokic I, Tang R, Slomka P, Prato FS, Dharmakumar R. Heart Rate-Independent 3D Myocardial Blood Oxygen Level-Dependent MRI at 3.0 T with Simultaneous 13N-Ammonia PET Validation. Radiology. 2020 Apr; 295(1):82-93. PMID: 32096705.
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    6. Eisenberg E, McElhinney PA, Commandeur F, Chen X, Cadet S, Goeller M, Razipour A, Gransar H, Cantu S, Miller RJH, Slomka PJ, Wong ND, Rozanski A, Achenbach S, Tamarappoo BK, Berman DS, Dey D. Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects. Circ Cardiovasc Imaging. 2020 Feb; 13(2):e009829. PMID: 32063057.
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    7. Goeller M, Rahman Ihdayhid A, Cadet S, Lin A, Adams D, Thakur U, Yap G, Marwan M, Achenbach S, Dey D, Ko B. Pericoronary adipose tissue and quantitative global non-calcified plaque characteristics from CT angiography do not differ in matched South Asian, East Asian and European-origin Caucasian patients with stable chest pain. Eur J Radiol. 2020 Apr; 125:108874. PMID: 32087467.
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    8. Kwiecinski J, Cadet S, Daghem M, Lassen ML, Dey D, Dweck MR, Berman DS, Newby DE, Slomka PJ. Whole-vessel coronary 18F-sodium fluoride PET for assessment of the global coronary microcalcification burden. Eur J Nucl Med Mol Imaging. 2020 Jan 02. PMID: 31897586.
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    9. Kwiecinski J, Dey D, Cadet S, Lee SE, Tamarappoo B, Otaki Y, Huynh PT, Friedman JD, Dweck MR, Newby DE, Yun M, Chang HJ, Slomka PJ, Berman DS. Predictors of 18F-sodium fluoride uptake in patients with stable coronary artery disease and adverse plaque features on computed tomography angiography. Eur Heart J Cardiovasc Imaging. 2020 Jan 01; 21(1):58-66. PMID: 31211387.
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    10. Yamaguchi S, Otaki Y, Tamarappoo B, Yoshida J, Ikenaga H, Friedman J, Berman D, Dey D, Shiota T. The association between epicardial adipose tissue thickness around the right ventricular free wall evaluated by transthoracic echocardiography and left atrial appendage function. Int J Cardiovasc Imaging. 2020 Jan 01. PMID: 31894526.
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    11. Commandeur F, Slomka PJ, Goeller M, Chen X, Cadet S, Razipour A, McElhinney P, Gransar H, Cantu S, Miller RJH, Rozanski A, Achenbach S, Tamarappoo BK, Berman DS, Dey D. Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study. Cardiovasc Res. 2019 Dec 19. PMID: 31853543.
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    12. Matsumoto H, Watanabe S, Kyo E, Tsuji T, Ando Y, Eisenberg E, Otaki Y, Manabe O, Cadet S, Slomka PJ, Tamarappoo BK, Berman DS, Dey D. Improved Evaluation of Lipid-Rich Plaque at Coronary CT Angiography: Head-to-Head Comparison with Intravascular US. Radiol Cardiothorac Imaging. 2019 Dec 19; 1(5):e190069. PMID: 32076671.
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    13. Commandeur F, Goeller M, Razipour A, Cadet S, Hell MM, Kwiecinski J, Chen X, Chang HJ, Marwan M, Achenbach S, Berman DS, Slomka PJ, Tamarappoo BK, Dey D. Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study. Radiol Artif Intell. 2019 Nov 27; 1(6):e190045. PMID: 32090206.
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    14. Han D, Rozanski A, Gransar H, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Liang JX, Hu LH, Germano G, Dey D, Berman DS, Slomka PJ. Myocardial Ischemic Burden and Differences in Prognosis Among Patients With and Without Diabetes: Results From the Multicenter International REFINE SPECT Registry. Diabetes Care. 2020 Feb; 43(2):453-459. PMID: 31776140.
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    15. Lin A, Nerlekar N, Munnur RK, Kataoka Y, Andrews J, Dey D, Nicholls SJ, Wong DT. Cholesterol crystal-induced coronary inflammation: Insights from optical coherence tomography and pericoronary adipose tissue computed tomography attenuation. J Cardiovasc Comput Tomogr. 2019 Nov 27. PMID: 31810855.
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    16. Miller RJH, Kwiecinski J, Shah KS, Eisenberg E, Patel J, Kobashigawa JA, Azarbal B, Tamarappoo B, Berman DS, Slomka PJ, Kransdorf E, Dey D. Coronary computed tomography-angiography quantitative plaque analysis improves detection of early cardiac allograft vasculopathy: A pilot study. Am J Transplant. 2019 Nov 22. PMID: 31758640.
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    17. Dey D, Lin A. Machine-Learning CT-FFR and Extensive Coronary Calcium: Overcoming the Achilles Heel of Coronary Computed Tomography Angiography. JACC Cardiovasc Imaging. 2020 Mar; 13(3):771-773. PMID: 31542540.
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    18. Lassen ML, Kwiecinski J, Dey D, Cadet S, Germano G, Berman DS, Adamson PD, Moss AJ, Dweck MR, Newby DE, Slomka PJ. Triple-gated motion and blood pool clearance corrections improve reproducibility of coronary 18F-NaF PET. Eur J Nucl Med Mol Imaging. 2019 Nov; 46(12):2610-2620. PMID: 31385011.
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    19. Hu LH, Betancur J, Sharir T, Einstein AJ, Bokhari S, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Germano G, Commandeur F, Liang JX, Otaki Y, Tamarappoo BK, Dey D, Berman DS, Slomka PJ. Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry. Eur Heart J Cardiovasc Imaging. 2019 Jul 16. PMID: 31317178.
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    20. Ihdayhid AR, Goeller M, Dey D, Nerlekar N, Yap G, Thakur U, Adams D, Cameron J, Seneviratne S, Achenbach S, Ko B. Comparison of Coronary Atherosclerotic Plaque Burden and Composition as Assessed on Coronary Computed Tomography Angiography in East Asian and European-Origin Caucasians. Am J Cardiol. 2019 10 01; 124(7):1012-1019. PMID: 31351575.
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    21. Miller RJH, Hu LH, Gransar H, Betancur J, Eisenberg E, Otaki Y, Sharir T, Fish MB, Ruddy TD, Dorbala S, Carli MD, Einstein AJ, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman T, Germano G, Tamarappoo BK, Dey D, Berman DS, Slomka PJ. Transient ischaemic dilation and post-stress wall motion abnormality increase risk in patients with less than moderate ischaemia: analysis of the REFINE SPECT registry. Eur Heart J Cardiovasc Imaging. 2019 Jul 13. PMID: 31302679.
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    22. Otaki Y, Betancur J, Sharir T, Hu LH, Gransar H, Liang JX, Azadani PN, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Tamarappoo BK, Germano G, Dey D, Berman DS, Slomka PJ. 5-Year Prognostic Value of Quantitative Versus Visual MPI in Subtle Perfusion Defects: Results From REFINE SPECT. JACC Cardiovasc Imaging. 2020 Mar; 13(3):774-785. PMID: 31202740.
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    23. Tamarappoo B, Otaki Y, Manabe O, Hyun M, Cantu S, Arnson Y, Gransar H, Hayes SW, Friedman JD, Thomson L, Slomka P, Dey D, Vescio R, Patel J, Berman DS. Simultaneous Tc-99m PYP/Tl-201 dual-isotope SPECT myocardial imaging in patients with suspected cardiac amyloidosis. J Nucl Cardiol. 2020 Feb; 27(1):28-37. PMID: 31172386.
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    24. Goeller M, Tamarappoo BK, Kwan AC, Cadet S, Commandeur F, Razipour A, Slomka PJ, Gransar H, Chen X, Otaki Y, Friedman JD, Cao JJ, Albrecht MH, Bittner DO, Marwan M, Achenbach S, Berman DS, Dey D. Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography. Eur Heart J Cardiovasc Imaging. 2019 Jun 01; 20(6):636-643. PMID: 30789223.
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    25. Yang HJ, Oksuz I, Dey D, Sykes J, Klein M, Butler J, Kovacs MS, Sobczyk O, Cokic I, Slomka PJ, Bi X, Li D, Tighiouart M, Tsaftaris SA, Prato FS, Fisher JA, Dharmakumar R. Accurate needle-free assessment of myocardial oxygenation for ischemic heart disease in canines using magnetic resonance imaging. Sci Transl Med. 2019 05 29; 11(494). PMID: 31142677.
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    26. Hu LH, Sharir T, Miller RJH, Einstein AJ, Fish MB, Ruddy TD, Dorbala S, Di Carli M, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Betancur J, Germano G, Liang JX, Commandeur F, Azadani PN, Gransar H, Otaki Y, Tamarappoo BK, Dey D, Berman DS, Slomka PJ. Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: A report from REFINE SPECT registry. J Nucl Cardiol. 2019 May 13. PMID: 31087268.
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    27. Jayawardena E, Li D, Nakanishi R, Dey D, Dailing C, Qureshi A, Dickens B, Hathiramani N, Kim M, Flores F, Kearns AE, Lui LY, Black D, Budoff MJ. Non-contrast cardiac CT-based quantitative evaluation of epicardial and intra-thoracic fat in healthy, recently menopausal women: Reproducibility data from the Kronos Early Estrogen Prevention Study. J Cardiovasc Comput Tomogr. 2020 Jan - Feb; 14(1):55-59. PMID: 31078511.
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    28. Dey D, Li D. Free-breathing coronary CT angiography without heart-rate control: Feasibility in selected patients. J Cardiovasc Comput Tomogr. 2019 May 03. PMID: 31078512.
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    29. Matsumoto H, Watanabe S, Kyo E, Tsuji T, Ando Y, Otaki Y, Cadet S, Gransar H, Berman DS, Slomka P, Tamarappoo BK, Dey D. Standardized volumetric plaque quantification and characterization from coronary CT angiography: a head-to-head comparison with invasive intravascular ultrasound. Eur Radiol. 2019 Nov; 29(11):6129-6139. PMID: 31028446.
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    30. Otaki Y, Tamarappoo B, Cadet SJ, Doris M, Arnson Y, Huynh PT, Gransar H, Wang F, Hayes SW, Friedman JD, Thomson L, Slomka P, Dey D, Berman DS. Decrease in LDL-C is associated with decrease in all components of noncalcified plaque on coronary CTA. Atherosclerosis. 2019 06; 285:128-134. PMID: 31051416.
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    31. Zhang F, Yang L, Gan L, Fan Z, Zhou B, Deng Z, Dey D, Berman DS, Li D, Xie Y. Spotty Calcium on Cervicocerebral Computed Tomography Angiography Associates With Increased Risk of Ischemic Stroke. Stroke. 2019 04; 50(4):859-866. PMID: 30879439.
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    32. Dey D, Slomka PJ, Leeson P, Comaniciu D, Shrestha S, Sengupta PP, Marwick TH. Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review. J Am Coll Cardiol. 2019 03 26; 73(11):1317-1335. PMID: 30898208.
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    33. Ramanathan R, Dey D, Nørgaard BL, Goeller M, Bjerrum IS, Antulov R, Diederichsen ACP, Sidelmann JJ, Gram JB, Sand NPR. Carotid plaque composition by CT angiography in asymptomatic subjects: a head-to-head comparison to ultrasound. Eur Radiol. 2019 Nov; 29(11):5920-5931. PMID: 30915562.
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    34. Hong Y, Commandeur F, Cadet S, Goeller M, Doris MK, Chen X, Kwiecinski J, Berman DS, Slomka PJ, Chang HJ, Dey D. Deep learning-based stenosis quantification from coronary CT Angiography. Proc SPIE Int Soc Opt Eng. 2019 Feb; 10949. PMID: 31762536.
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    35. Kwiecinski J, Dey D, Cadet S, Lee SE, Otaki Y, Huynh PT, Doris MK, Eisenberg E, Yun M, Jansen MA, Williams MC, Tamarappoo BK, Friedman JD, Dweck MR, Newby DE, Chang HJ, Slomka PJ, Berman DS. Peri-Coronary Adipose Tissue Density Is Associated With 18F-Sodium Fluoride Coronary Uptake in Stable Patients With High-Risk Plaques. JACC Cardiovasc Imaging. 2019 Oct; 12(10):2000-2010. PMID: 30772226.
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    36. Matsumoto H, Watanabe S, Kyo E, Tsuji T, Ando Y, Otaki Y, Cadet S, Slomka PJ, Berman DS, Dey D, Tamarappoo BK. Effect of tube potential and luminal contrast attenuation on atherosclerotic plaque attenuation by coronary CT angiography: In vivo comparison with intravascular ultrasound. J Cardiovasc Comput Tomogr. 2019 Jul - Aug; 13(4):219-225. PMID: 30782511.
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    37. Gullaksen S, Funck KL, Laugesen E, Hansen TK, Dey D, Poulsen PL. Volumes of coronary plaque disease in relation to body mass index, waist circumference, truncal fat mass and epicardial adipose tissue in patients with type 2 diabetes mellitus and controls. Diab Vasc Dis Res. 2019 07; 16(4):328-336. PMID: 30714400.
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    38. Shi F, Yang Q, Guo X, Qureshi TA, Tian Z, Miao H, Dey D, Li D, Fan Z. Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks. IEEE Trans Biomed Eng. 2019 Oct; 66(10):2840-2847. PMID: 30716027.
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    39. Nandkeolyar S, Naqvi A, Fan W, Sharma A, Rana JS, Rozanski A, Shaw L, Friedman JD, Hayes S, Dey D, Wong ND, Berman DS. Utility of novel serum biomarkers to predict subclinical atherosclerosis: A sub-analysis of the EISNER study. Atherosclerosis. 2019 03; 282:80-84. PMID: 30711632.
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    40. Wang F, Rozanski A, Dey D, Arnson Y, Gransar H, Friedman J, Hayes SW, Thomson LEJ, Tamarappoo B, Shaw LJ, Min JK, Rumberger JA, Budoff MJ, Miedema MD, Blaha MJ, Berman DS. Age- and gender-adjusted percentiles for number of calcified plaques in coronary artery calcium scanning. J Cardiovasc Comput Tomogr. 2019 Nov - Dec; 13(6):319-324. PMID: 30598344.
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    41. Kwiecinski J, Adamson PD, Lassen ML, Doris MK, Moss AJ, Cadet S, Jansen MA, Dey D, Lee SE, Yun M, Chang HJ, Dweck MR, Newby DE, Berman DS, Slomka PJ. Feasibility of Coronary 18F-Sodium Fluoride Positron-Emission Tomography Assessment With the Utilization of Previously Acquired Computed Tomography Angiography. Circ Cardiovasc Imaging. 2018 12; 11(12):e008325. PMID: 30558496.
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    42. Išgum I, de Vos BD, Wolterink JM, Dey D, Berman DS, Rubeaux M, Leiner T, Slomka PJ. Erratum to: Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT. J Nucl Cardiol. 2018 Dec; 25(6):2143. PMID: 28589378.
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    43. Massera D, Doris MK, Cadet S, Kwiecinski J, Pawade TA, Peeters FECM, Dey D, Newby DE, Dweck MR, Slomka PJ. Analytical quantification of aortic valve 18F-sodium fluoride PET uptake. J Nucl Cardiol. 2018 Nov 29. PMID: 30499069.
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    44. Lassen ML, Kwiecinski J, Cadet S, Dey D, Wang C, Dweck MR, Berman DS, Germano G, Newby DE, Slomka PJ. Data-Driven Gross Patient Motion Detection and Compensation: Implications for Coronary 18F-NaF PET Imaging. J Nucl Med. 2019 06; 60(6):830-836. PMID: 30442755.
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    45. Truong QA, Rinehart S, Abbara S, Achenbach S, Berman DS, Bullock-Palmer R, Carrascosa P, Chinnaiyan KM, Dey D, Ferencik M, Fuechtner G, Hecht H, Jacobs JE, Lee SE, Leipsic J, Lin F, Meave A, Pugliese F, Sierra-Galán LM, Williams MC, Villines TC, Shaw LJ. Coronary computed tomographic imaging in women: An expert consensus statement from the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr. 2018 Nov - Dec; 12(6):451-466. PMID: 30392926.
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    46. Betancur J, Hu LH, Commandeur F, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Germano G, Otaki Y, Liang JX, Tamarappoo BK, Dey D, Berman DS, Slomka PJ. Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study. J Nucl Med. 2019 05; 60(5):664-670. PMID: 30262516.
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    47. Kwiecinski J, Berman DS, Lee SE, Dey D, Cadet S, Lassen ML, Germano G, Jansen MA, Dweck MR, Newby DE, Chang HJ, Yun M, Slomka PJ. Three-Hour Delayed Imaging Improves Assessment of Coronary 18F-Sodium Fluoride PET. J Nucl Med. 2019 04; 60(4):530-535. PMID: 30213848.
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    48. Goeller M, Achenbach S, Cadet S, Kwan AC, Commandeur F, Slomka PJ, Gransar H, Albrecht MH, Tamarappoo BK, Berman DS, Marwan M, Dey D. Pericoronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared With Stable Coronary Artery Disease. JAMA Cardiol. 2018 09 01; 3(9):858-863. PMID: 30027285.
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    49. Chakravarty T, Cox J, Abramowitz Y, Israr S, Uberoi A, Yoon S, Dey D, Zadeh P, Cheng W, Makkar RR. High-pressure post-dilation following transcatheter valve-in-valve implantation in small surgical valves. EuroIntervention. 2018 06 20; 14(2):158-165. PMID: 29488884.
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    50. Slomka PJ, Betancur J, Liang JX, Otaki Y, Hu LH, Sharir T, Dorbala S, Di Carli M, Fish MB, Ruddy TD, Bateman TM, Einstein AJ, Kaufmann PA, Miller EJ, Sinusas AJ, Azadani PN, Gransar H, Tamarappoo BK, Dey D, Berman DS, Germano G. Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT). J Nucl Cardiol. 2018 Jun 19. PMID: 29923104.
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    51. Doris MK, Otaki Y, Krishnan SK, Kwiecinski J, Rubeaux M, Alessio A, Pan T, Cadet S, Dey D, Dweck MR, Newby DE, Berman DS, Slomka PJ. Optimization of reconstruction and quantification of motion-corrected coronary PET-CT. J Nucl Cardiol. 2018 Jun 11. PMID: 29948889.
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    52. Øvrehus KA, Gaur S, Leipsic J, Jensen JM, Dey D, Bøtker HE, Ahmadi A, Achenbach S, Ko B, Nørgaard BL. CT-based total vessel plaque analyses improves prediction of hemodynamic significance lesions as assessed by fractional flow reserve in patients with stable angina pectoris. J Cardiovasc Comput Tomogr. 2018 Jul - Aug; 12(4):344-349. PMID: 29866619.
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    53. Tamarappoo B, Otaki Y, Doris M, Arnson Y, Gransar H, Hayes S, Friedman J, Thomson L, Wang F, Rozanski A, Slomka P, Dey D, Berman D. Improvement in LDL is associated with decrease in non-calcified plaque volume on coronary CTA as measured by automated quantitative software. J Cardiovasc Comput Tomogr. 2018 Sep - Oct; 12(5):385-390. PMID: 29793847.
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    54. Doris MK, Otaki Y, Arnson Y, Tamarappoo B, Goeller M, Gransar H, Wang F, Hayes S, Friedman J, Thomson L, Slomka P, Dey D, Berman D. Non-invasive fractional flow reserve in vessels without severe obstructive stenosis is associated with coronary plaque burden. J Cardiovasc Comput Tomogr. 2018 Sep - Oct; 12(5):379-384. PMID: 29784622.
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    55. Betancur J, Commandeur F, Motlagh M, Sharir T, Einstein AJ, Bokhari S, Fish MB, Ruddy TD, Kaufmann P, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Germano G, Otaki Y, Tamarappoo BK, Dey D, Berman DS, Slomka PJ. Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study. JACC Cardiovasc Imaging. 2018 11; 11(11):1654-1663. PMID: 29550305.
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    56. Commandeur F, Goeller M, Betancur J, Cadet S, Doris M, Chen X, Berman DS, Slomka PJ, Tamarappoo BK, Dey D. Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT. IEEE Trans Med Imaging. 2018 08; 37(8):1835-1846. PMID: 29994362.
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    57. Röther J, Moshage M, Dey D, Schwemmer C, Tröbs M, Blachutzik F, Achenbach S, Schlundt C, Marwan M. Comparison of invasively measured FFR with FFR derived from coronary CT angiography for detection of lesion-specific ischemia: Results from a PC-based prototype algorithm. J Cardiovasc Comput Tomogr. 2018 Mar - Apr; 12(2):101-107. PMID: 29409717.
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    58. Dey D, Gaur S, Ovrehus KA, Slomka PJ, Betancur J, Goeller M, Hell MM, Gransar H, Berman DS, Achenbach S, Botker HE, Jensen JM, Lassen JF, Norgaard BL. Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study. Eur Radiol. 2018 Jun; 28(6):2655-2664. PMID: 29352380.
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    59. Nerlekar N, Baey YW, Brown AJ, Muthalaly RG, Dey D, Tamarappoo B, Cameron JD, Marwick TH, Wong DT. Poor Correlation, Reproducibility, and Agreement Between Volumetric Versus Linear Epicardial Adipose Tissue Measurement: A 3D Computed Tomography Versus 2D Echocardiography Comparison. JACC Cardiovasc Imaging. 2018 07; 11(7):1035-1036. PMID: 29361482.
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    60. Ahmadi A, Leipsic J, Øvrehus KA, Gaur S, Bagiella E, Ko B, Dey D, LaRocca G, Jensen JM, Bøtker HE, Achenbach S, De Bruyne B, Nørgaard BL, Narula J. Lesion-Specific and Vessel-Related Determinants of Fractional Flow Reserve Beyond Coronary Artery Stenosis. JACC Cardiovasc Imaging. 2018 04; 11(4):521-530. PMID: 29311033.
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    61. Dey D, Commandeur F. Radiomics to Identify High-Risk Atherosclerotic Plaque From Computed Tomography: The Power of Quantification. Circ Cardiovasc Imaging. 2017 12; 10(12). PMID: 29233837.
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    62. Hell MM, Motwani M, Otaki Y, Cadet S, Gransar H, Miranda-Peats R, Valk J, Slomka PJ, Cheng VY, Rozanski A, Tamarappoo BK, Hayes S, Achenbach S, Berman DS, Dey D. Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up. Eur Heart J Cardiovasc Imaging. 2017 Dec 01; 18(12):1331-1339. PMID: 28950315.
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    63. Goeller M, Achenbach S, Marwan M, Doris MK, Cadet S, Commandeur F, Chen X, Slomka PJ, Gransar H, Cao JJ, Wong ND, Albrecht MH, Rozanski A, Tamarappoo BK, Berman DS, Dey D. Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjects. J Cardiovasc Comput Tomogr. 2018 Jan - Feb; 12(1):67-73. PMID: 29233634.
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    64. Betancur J, Otaki Y, Motwani M, Fish MB, Lemley M, Dey D, Gransar H, Tamarappoo B, Germano G, Sharir T, Berman DS, Slomka PJ. Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning. JACC Cardiovasc Imaging. 2018 07; 11(7):1000-1009. PMID: 29055639.
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    65. Robson PM, Dey D, Newby DE, Berman D, Li D, Fayad ZA, Dweck MR. MR/PET Imaging of the Cardiovascular System. JACC Cardiovasc Imaging. 2017 10; 10(10 Pt A):1165-1179. PMID: 28982570.
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    66. Arnson Y, Rozanski A, Gransar H, Friedman JD, Hayes SW, Thomson LE, Tamarappoo B, Slomka P, Wang F, Germano G, Dey D, Berman DS. Comparison of the Coronary Artery Calcium Score and Number of Calcified Coronary Plaques for Predicting Patient Mortality Risk. Am J Cardiol. 2017 Dec 15; 120(12):2154-2159. PMID: 29096884.
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    67. Mrgan M, Funck KL, Gaur S, Øvrehus KA, Dey D, Kusk MW, Nørgaard BL, Gram JB, Olsen MH, Gram J, Sand NPR. High burden of coronary atherosclerosis in patients with a new diagnosis of type 2 diabetes. Diab Vasc Dis Res. 2017 11; 14(6):468-476. PMID: 28866908.
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    148. Voros S, Rivera JJ, Berman DS, Blankstein R, Budoff MJ, Cury RC, Desai MY, Dey D, Halliburton SS, Hecht HS, Nasir K, Santos RD, Shapiro MD, Taylor AJ, Valeti US, Young PM, Weissman G. Guideline for minimizing radiation exposure during acquisition of coronary artery calcium scans with the use of multidetector computed tomography: a report by the Society for Atherosclerosis Imaging and Prevention Tomographic Imaging and Prevention Councils in collaboration with the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr. 2011 Mar-Apr; 5(2):75-83. PMID: 21398199.
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    150. Tamarappoo B, Dey D, Shmilovich H, Nakazato R, Gransar H, Cheng VY, Friedman JD, Hayes SW, Thomson LE, Slomka PJ, Rozanski A, Berman DS. Increased pericardial fat volume measured from noncontrast CT predicts myocardial ischemia by SPECT. JACC Cardiovasc Imaging. 2010 Nov; 3(11):1104-12. PMID: 21070997.
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    152. Dey D, Schepis T, Marwan M, Slomka PJ, Berman DS, Achenbach S. Automated three-dimensional quantification of noncalcified coronary plaque from coronary CT angiography: comparison with intravascular US. Radiology. 2010 Nov; 257(2):516-22. PMID: 20829536.
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    156. Cheng VY, Wolak A, Gutstein A, Gransar H, Wong ND, Dey D, Thomson LE, Hayes SW, Friedman JD, Slomka PJ, Berman DS. Low-density lipoprotein and noncalcified coronary plaque composition in patients with newly diagnosed coronary artery disease on computed tomographic angiography. Am J Cardiol. 2010 Mar 15; 105(6):761-6. PMID: 20211316.
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    157. Dey D, Ramesh A, Slomka PJ, Nakazato R, Cheng VY, Germano G, Berman DS. Automated algorithm for atlas-based segmentation of the heart and pericardium from non-contrast CT. Proc SPIE Int Soc Opt Eng. 2010 Mar 01; 7623:762337. PMID: 20948586.
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    158. Woo J, Dey D, Cheng VY, Hong BW, Ramesh A, Sundaramoorthi G, Nakazato R, Berman DS, Germano G, Kuo CC, Slomka PJ. Nonlinear registration of serial coronary CT angiography (CCTA) for assessment of changes in atherosclerotic plaque. Med Phys. 2010 Feb; 37(2):885-96. PMID: 20229898.
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    159. Woo J, Slomka PJ, Dey D, Cheng VY, Hong BW, Ramesh A, Berman DS, Karlsberg RP, Kuo CC, Germano G. Geometric feature-based multimodal image registration of contrast-enhanced cardiac CT with gated myocardial perfusion SPECT. Med Phys. 2009 Dec; 36(12):5467-79. PMID: 20095259.
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    167. Cheng V, Gutstein A, Wolak A, Suzuki Y, Dey D, Gransar H, Thomson LE, Hayes SW, Friedman JD, Berman DS. Moving beyond binary grading of coronary arterial stenoses on coronary computed tomographic angiography: insights for the imager and referring clinician. JACC Cardiovasc Imaging. 2008 Jul; 1(4):460-71. PMID: 19356468.
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    168. Wolak A, Gutstein A, Cheng VY, Suzuki Y, Thomson LE, Friedman J, Dey D, Hayes SW, Slomka PJ, Germano G, Berman DS. Dual-source coronary computed tomography angiography in patients with atrial fibrillation: initial experience. J Cardiovasc Comput Tomogr. 2008 May-Jun; 2(3):172-80. PMID: 19083942.
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    169. Dey D, Suzuki Y, Suzuki S, Ohba M, Slomka PJ, Polk D, Shaw LJ, Berman DS. Automated quantitation of pericardiac fat from noncontrast CT. Invest Radiol. 2008 Feb; 43(2):145-53. PMID: 18197067.
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    170. Dey D, Lee CJ, Ohba M, Gutstein A, Slomka PJ, Cheng V, Suzuki Y, Suzuki S, Wolak A, Le Meunier L, Thomson LE, Cohen I, Friedman JD, Germano G, Berman DS. Image quality and artifacts in coronary CT angiography with dual-source CT: initial clinical experience. J Cardiovasc Comput Tomogr. 2008 Mar-Apr; 2(2):105-14. PMID: 19083930.
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    172. Dey D, Callister T, Slomka P, Aboul-Enein F, Nishina H, Kang X, Gransar H, Wong ND, Miranda-Peats R, Hayes S, Friedman JD, Berman DS. Computer-aided detection and evaluation of lipid-rich plaque on noncontrast cardiac CT. AJR Am J Roentgenol. 2006 Jun; 186(6 Suppl 2):S407-13. PMID: 16714617.
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    173. Dey D, Slomka P, Chien D, Fieno D, Abidov A, Saouaf R, Thomson L, Friedman JD, Berman DS. Direct quantitative in vivo comparison of calcified atherosclerotic plaque on vascular MRI and CT by multimodality image registration. J Magn Reson Imaging. 2006 Mar; 23(3):345-54. PMID: 16463307.
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    174. Levin D, Dey D, Slomka PJ. Acceleration of 3D, nonlinear warping using standard video graphics hardware: implementation and initial validation. Comput Med Imaging Graph. 2004 Dec; 28(8):471-83. PMID: 15541954.
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    175. Aladl UE, Hurwitz GA, Dey D, Levin D, Drangova M, Slomka PJ. Automated image registration of gated cardiac single-photon emission computed tomography and magnetic resonance imaging. J Magn Reson Imaging. 2004 Mar; 19(3):283-90. PMID: 14994295.
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    176. Slomka PJ, Dey D, Przetak C, Aladl UE, Baum RP. Automated 3-dimensional registration of stand-alone (18)F-FDG whole-body PET with CT. J Nucl Med. 2003 Jul; 44(7):1156-67. PMID: 12843232.
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    177. Dey D, Gobbi DG, Slomka PJ, Surry KJ, Peters TM. Automatic fusion of freehand endoscopic brain images to three-dimensional surfaces: creating stereoscopic panoramas. IEEE Trans Med Imaging. 2002 Jan; 21(1):23-30. PMID: 11842826.
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