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Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images
Retesh Bajaj, Xingru Huang, Yakup Kilic, Anantharaman Ramasamy, Ajay Jain, Mick Ozkor, Vincenzo Tufaro, Hannah Safi, Emrah Erdoğan, Patrick W. Serruys, James Moon, Francesca Pugliese, Anthony Mathur, Ryo Torii, Andreas Baumbach, Jouke Dijkstra, Qianni Zhang, Christos V. Bourantas (2021). Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images. International Journal of Cardiology, 339, pp. 185-191, DOI: 10.1016/j.ijcard.2021.06.030.
Article146 days agoA deep learning methodology for the automated detection of end-diastolic frames in intravascular ultrasound images
Retesh Bajaj, Xingru Huang, Yakup Kilic, Ajay Jain, Anantharaman Ramasamy, Ryo Torii, James Moon, Tat W. Koh, Tom Crake, Maurizio K. Parker, Vincenzo Tufaro, Patrick W. Serruys, Francesca Pugliese, Anthony Mathur, Andreas Baumbach, Jouke Dijkstra, Qianni Zhang, Christos V. Bourantas (2021). A deep learning methodology for the automated detection of end-diastolic frames in intravascular ultrasound images. The International Journal of Cardiovascular Imaging, DOI: 10.1007/s10554-021-02162-x.
Article146 days agoEnd‐diastolic segmentation of intravascular ultrasound images enables more reproducible volumetric analysis of atheroma burden
Emrah Erdoğan, Xingru Huang, Jackie Cooper, Ajay Jain, Anantharaman Ramasamy, Retesh Bajaj, Ryo Torii, James Moon, Andrew Deaner, Christos Costa, Héctor M. García‐García, Vincenzo Tufaro, Patrick W. Serruys, Francesca Pugliese, Anthony Mathur, Jouke Dijkstra, Andreas Baumbach, Qianni Zhang, Christos V. Bourantas (2021). End‐diastolic segmentation of intravascular ultrasound images enables more reproducible volumetric analysis of atheroma burden. Catheterization and Cardiovascular Interventions, 99(3), pp. 706-713, DOI: 10.1002/ccd.29917.
Article146 days ago