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CARDIAN: a novel computational approach for real-time end-diastolic frame detection in intravascular ultrasound using bidirectional attention networks.
Huang X, Bajaj R, Cui W, Hendricks MJ, Wang Y, Yap NAL, Ramasamy A, Maung S, Cap M, Zhou H, Torii R, Dijkstra J, Bourantas CV, Zhang Q. Huang X, et al. Among authors: zhang q. Front Cardiovasc Med. 2023 Oct 6;10:1250800. doi: 10.3389/fcvm.2023.1250800. eCollection 2023. Front Cardiovasc Med. 2023. PMID: 37868778 Free PMC article.
A deep learning methodology for the automated detection of end-diastolic frames in intravascular ultrasound images.
Bajaj R, Huang X, Kilic Y, Jain A, Ramasamy A, Torii R, Moon J, Koh T, Crake T, Parker MK, Tufaro V, Serruys PW, Pugliese F, Mathur A, Baumbach A, Dijkstra J, Zhang Q, Bourantas CV. Bajaj R, et al. Among authors: zhang q. Int J Cardiovasc Imaging. 2021 Jun;37(6):1825-1837. doi: 10.1007/s10554-021-02162-x. Epub 2021 Feb 15. Int J Cardiovasc Imaging. 2021. PMID: 33590430 Free PMC article.
Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images.
Bajaj R, Huang X, Kilic Y, Ramasamy A, Jain A, Ozkor M, Tufaro V, Safi H, Erdogan E, Serruys PW, Moon J, Pugliese F, Mathur A, Torii R, Baumbach A, Dijkstra J, Zhang Q, Bourantas CV. Bajaj R, et al. Among authors: zhang q. Int J Cardiol. 2021 Sep 15;339:185-191. doi: 10.1016/j.ijcard.2021.06.030. Epub 2021 Jun 18. Int J Cardiol. 2021. PMID: 34153412
End-diastolic segmentation of intravascular ultrasound images enables more reproducible volumetric analysis of atheroma burden.
Erdogan E, Huang X, Cooper J, Jain A, Ramasamy A, Bajaj R, Torii R, Moon J, Deaner A, Costa C, Garcia-Garcia HM, Tufaro V, Serruys PW, Pugliese F, Mathur A, Dijkstra J, Baumbach A, Zhang Q, Bourantas CV. Erdogan E, et al. Among authors: zhang q. Catheter Cardiovasc Interv. 2022 Feb;99(3):706-713. doi: 10.1002/ccd.29917. Epub 2021 Aug 17. Catheter Cardiovasc Interv. 2022. PMID: 34402586
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