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Retesh Bajaj

Showing results (11-20 of 28) with videos related to

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Frontiers in Cardiovascular Medicine|October 23, 2023
CARDIAN: a novel computational approach for real-time end-diastolic frame detection in intravascular ultrasound using bidirectional attention networksXingru Huang, Retesh Bajaj, Weiwei Cui, et al.
Minerva Cardiology and Angiology|March 11, 2021
Multi-modality intravascular imaging for guiding coronary intervention and assessing coronary atheroma: the Novasight Hybrid IVUS-OCT systemRetesh Bajaj, Hector M Garcia-Garcia, Brian K Courtney, et al.
European Heart Journal. Imaging Methods and Practice|February 20, 2025
Segmental post-percutaneous coronary intervention physiological gradients using ultrasonic or optical flow ratio: insights from ASET JAPAN studyPruthvi C Revaiah, Kotaro Miyashita, Tsung-Ying Tsai, et al.
The International Journal of Cardiovascular Imaging|December 26, 2025
A deep learning methodology for fully-automated quantification of calcific burden in high-resolution intravascular ultrasound imagesXingwei He, Mohamed O Mohamed, Nathaniel Yu Jian Ng, et al.
International Journal of Cardiology|June 21, 2021
Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound imagesRetesh Bajaj, Xingru Huang, Yakup Kilic, et al.
The International Journal of Cardiovascular Imaging|February 16, 2021
A deep learning methodology for the automated detection of end-diastolic frames in intravascular ultrasound imagesRetesh Bajaj, Xingru Huang, Yakup Kilic, et al.
The American Journal of Cardiology|June 22, 2022
Treatment Strategies and Outcomes of Emergency Left Main Percutaneous Coronary InterventionRetesh Bajaj, Anantharaman Ramasamy, James T Brown, et al.
Atherosclerosis|March 11, 2021
Wall shear stress estimated by 3D-QCA can predict cardiovascular events in lesions with borderline negative fractional flow reserveVincenzo Tufaro, Hannah Safi, Ryo Torii, et al.
Atherosclerosis|February 23, 2022
Machine learning for atherosclerotic tissue component classification in combined near-infrared spectroscopy intravascular ultrasound imaging: Validation against histologyRetesh Bajaj, Jeroen Eggermont, Stephanie J Grainger, et al.
European Heart Journal Open|November 1, 2023
Novel near-infrared spectroscopy-intravascular ultrasound-based deep-learning methodology for accurate coronary computed tomography plaque quantification and characterizationAnantharaman Ramasamy, Hessam Sokooti, Xiaotong Zhang, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

Sort By:
Pageof 3
Frontiers in Cardiovascular Medicine|October 23, 2023
CARDIAN: a novel computational approach for real-time end-diastolic frame detection in intravascular ultrasound using bidirectional attention networksXingru Huang, Retesh Bajaj, Weiwei Cui, et al.
Minerva Cardiology and Angiology|March 11, 2021
Multi-modality intravascular imaging for guiding coronary intervention and assessing coronary atheroma: the Novasight Hybrid IVUS-OCT systemRetesh Bajaj, Hector M Garcia-Garcia, Brian K Courtney, et al.
European Heart Journal. Imaging Methods and Practice|February 20, 2025
Segmental post-percutaneous coronary intervention physiological gradients using ultrasonic or optical flow ratio: insights from ASET JAPAN studyPruthvi C Revaiah, Kotaro Miyashita, Tsung-Ying Tsai, et al.
The International Journal of Cardiovascular Imaging|December 26, 2025
A deep learning methodology for fully-automated quantification of calcific burden in high-resolution intravascular ultrasound imagesXingwei He, Mohamed O Mohamed, Nathaniel Yu Jian Ng, et al.
International Journal of Cardiology|June 21, 2021
Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound imagesRetesh Bajaj, Xingru Huang, Yakup Kilic, et al.
The International Journal of Cardiovascular Imaging|February 16, 2021
A deep learning methodology for the automated detection of end-diastolic frames in intravascular ultrasound imagesRetesh Bajaj, Xingru Huang, Yakup Kilic, et al.
The American Journal of Cardiology|June 22, 2022
Treatment Strategies and Outcomes of Emergency Left Main Percutaneous Coronary InterventionRetesh Bajaj, Anantharaman Ramasamy, James T Brown, et al.
Atherosclerosis|March 11, 2021
Wall shear stress estimated by 3D-QCA can predict cardiovascular events in lesions with borderline negative fractional flow reserveVincenzo Tufaro, Hannah Safi, Ryo Torii, et al.
Atherosclerosis|February 23, 2022
Machine learning for atherosclerotic tissue component classification in combined near-infrared spectroscopy intravascular ultrasound imaging: Validation against histologyRetesh Bajaj, Jeroen Eggermont, Stephanie J Grainger, et al.
European Heart Journal Open|November 1, 2023
Novel near-infrared spectroscopy-intravascular ultrasound-based deep-learning methodology for accurate coronary computed tomography plaque quantification and characterizationAnantharaman Ramasamy, Hessam Sokooti, Xiaotong Zhang, et al.
Pageof 3