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Of Occlusions, Inclusions, and Exclusions: Time to Reclassify Infarctions?.

Circulation

Sankardas MA, Ramakumar V, Farooqui FA.
PMID: 34339305
Circulation. 2021 Aug 03;144(5):333-335. doi: 10.1161/CIRCULATIONAHA.121.055827. Epub 2021 Aug 02.

No abstract available.

Cite
Sankardas MA, Ramakumar V, Farooqui FA. Of Occlusions, Inclusions, and Exclusions: Time to Reclassify Infarctions?. Circulation. 2021;144(5):333-335doi: 10.1161/CIRCULATIONAHA.121.055827.
Sankardas, M. A., Ramakumar, V., & Farooqui, F. A. (2021). Of Occlusions, Inclusions, and Exclusions: Time to Reclassify Infarctions?. Circulation, 144(5), 333-335. https://doi.org/10.1161/CIRCULATIONAHA.121.055827
Sankardas, Mullasari Ajit, et al. "Of Occlusions, Inclusions, and Exclusions: Time to Reclassify Infarctions?." Circulation vol. 144,5 (2021): 333-335. doi: https://doi.org/10.1161/CIRCULATIONAHA.121.055827
Sankardas MA, Ramakumar V, Farooqui FA. Of Occlusions, Inclusions, and Exclusions: Time to Reclassify Infarctions?. Circulation. 2021 Aug 03;144(5):333-335. doi: 10.1161/CIRCULATIONAHA.121.055827. Epub 2021 Aug 02. PMID: 34339305.
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Of Occlusions, Inclusions, and Exclusions: Time to Reclassify Infarctions?.

Circulation

Sankardas MA, Ramakumar V, Farooqui FA.
PMID: 34339305
Circulation. 2021 Aug 03;144(5):333-335. doi: 10.1161/CIRCULATIONAHA.121.055827. Epub 2021 Aug 02.

No abstract available.

Cite
Sankardas MA, Ramakumar V, Farooqui FA. Of Occlusions, Inclusions, and Exclusions: Time to Reclassify Infarctions?. Circulation. 2021;144(5):333-335doi: 10.1161/CIRCULATIONAHA.121.055827.
Sankardas, M. A., Ramakumar, V., & Farooqui, F. A. (2021). Of Occlusions, Inclusions, and Exclusions: Time to Reclassify Infarctions?. Circulation, 144(5), 333-335. https://doi.org/10.1161/CIRCULATIONAHA.121.055827
Sankardas, Mullasari Ajit, et al. "Of Occlusions, Inclusions, and Exclusions: Time to Reclassify Infarctions?." Circulation vol. 144,5 (2021): 333-335. doi: https://doi.org/10.1161/CIRCULATIONAHA.121.055827
Sankardas MA, Ramakumar V, Farooqui FA. Of Occlusions, Inclusions, and Exclusions: Time to Reclassify Infarctions?. Circulation. 2021 Aug 03;144(5):333-335. doi: 10.1161/CIRCULATIONAHA.121.055827. Epub 2021 Aug 02. PMID: 34339305.
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Catheter ablation of atrial arrhythmias in a patient with surgically corrected congenital heart disease and inferior vena cava interruption.

Journal of the Saudi Heart Association

Krishnamoorthy J, Shah RA, Sankaradas MA.
PMID: 26136634
J Saudi Heart Assoc. 2015 Jul;27(3):201-5. doi: 10.1016/j.jsha.2014.11.003. Epub 2014 Dec 02.

A 15 year old girl who underwent surgical correction of ventricular septal defect and patent ductus arteriosus ligation in childhood presented with atrial tachycardia of crista terminalis origin and counterclockwise atrial flutter. She also had associated interruption of inferior...

Cite
Krishnamoorthy J, Shah RA, Sankaradas MA. Catheter ablation of atrial arrhythmias in a patient with surgically corrected congenital heart disease and inferior vena cava interruption. J Saudi Heart Assoc. 2014;27(3):201-5doi: 10.1016/j.jsha.2014.11.003.
Krishnamoorthy, J., Shah, R. A., & Sankaradas, M. A. (2015). Catheter ablation of atrial arrhythmias in a patient with surgically corrected congenital heart disease and inferior vena cava interruption. Journal of the Saudi Heart Association, 27(3), 201-5. https://doi.org/10.1016/j.jsha.2014.11.003
Krishnamoorthy, Jaishankar, et al. "Catheter ablation of atrial arrhythmias in a patient with surgically corrected congenital heart disease and inferior vena cava interruption." Journal of the Saudi Heart Association vol. 27,3 (2015): 201-5. doi: https://doi.org/10.1016/j.jsha.2014.11.003
Krishnamoorthy J, Shah RA, Sankaradas MA. Catheter ablation of atrial arrhythmias in a patient with surgically corrected congenital heart disease and inferior vena cava interruption. J Saudi Heart Assoc. 2015 Jul;27(3):201-5. doi: 10.1016/j.jsha.2014.11.003. Epub 2014 Dec 02. PMID: 26136634; PMCID: PMC4481423.
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AngioNet: a convolutional neural network for vessel segmentation in X-ray angiography.

Scientific reports

Iyer K, Najarian CP, Fattah AA, Arthurs CJ, Soroushmehr SMR, Subban V, Sankardas MA, Nadakuditi RR, Nallamothu BK, Figueroa CA.
PMID: 34508124
Sci Rep. 2021 Sep 10;11(1):18066. doi: 10.1038/s41598-021-97355-8.

Coronary Artery Disease (CAD) is commonly diagnosed using X-ray angiography, in which images are taken as radio-opaque dye is flushed through the coronary vessels to visualize the severity of vessel narrowing, or stenosis. Cardiologists typically use visual estimation to...

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Iyer K, Najarian CP, Fattah AA, et al. AngioNet: a convolutional neural network for vessel segmentation in X-ray angiography. Sci Rep. 2021;11(1):18066doi: 10.1038/s41598-021-97355-8.
Iyer, K., Najarian, C. P., Fattah, A. A., Arthurs, C. J., Soroushmehr, S. M. R., Subban, V., Sankardas, M. A., Nadakuditi, R. R., Nallamothu, B. K., & Figueroa, C. A. (2021). AngioNet: a convolutional neural network for vessel segmentation in X-ray angiography. Scientific reports, 11(1), 18066. https://doi.org/10.1038/s41598-021-97355-8
Iyer, Kritika, et al. "AngioNet: a convolutional neural network for vessel segmentation in X-ray angiography." Scientific reports vol. 11,1 (2021): 18066. doi: https://doi.org/10.1038/s41598-021-97355-8
Iyer K, Najarian CP, Fattah AA, Arthurs CJ, Soroushmehr SMR, Subban V, Sankardas MA, Nadakuditi RR, Nallamothu BK, Figueroa CA. AngioNet: a convolutional neural network for vessel segmentation in X-ray angiography. Sci Rep. 2021 Sep 10;11(1):18066. doi: 10.1038/s41598-021-97355-8. PMID: 34508124; PMCID: PMC8433338.
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