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David Prabhu

Showing results (11-20 of 24) with videos related to

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Current Cardiology Reports|May 31, 2020
Artificial Intelligence in Intracoronary ImagingRussell Fedewa, Rishi Puri, Eitan Fleischman, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Parameter estimation of atherosclerotic tissue optical properties from three-dimensional intravascular optical coherence tomographyMadhusudhana Gargesha, Ronny Shalev, David Prabhu, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 18, 2022
Deep learning segmentation of coronary calcified plaque from intravascular optical coherence tomography (IVOCT) images with application to finite element modeling of stent deploymentYazan Gharaibeh, Pengfei Dong, David Prabhu, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 16, 2022
Co-registration of pre- and post-stent intravascular OCT images for validation of finite element model simulation of stent expansionYazan Gharaibeh, Juhwan Lee, David Prabhu, et al.
Proceedings of Spie--The International Society for Optical Engineering|April 3, 2018
Validation of parameter estimation methods for determining optical properties of atherosclerotic tissues in intravascular OCTRonny Shalev, Madhusudhana Gargesha, David Prabhu, et al.
Scientific Reports|February 15, 2020
Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology featuresJuhwan Lee, David Prabhu, Chaitanya Kolluru, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 24, 2016
Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacksRonny Shalev, Madhusudhana Gargesha, David Prabhu, et al.
International Journal of Biomedical Imaging|May 29, 2018
Cryo-Imaging and Software Platform for Analysis of Molecular MR Imaging of MicrometastasesMohammed Q Qutaish, Zhuxian Zhou, David Prabhu, et al.
European Heart Journal. Cardiovascular Imaging|September 14, 2023
Noninvasive assessment of left ventricular end-diastolic pressure using machine learning-derived phasic left atrial strainMartin M Gruca, Jeremy A Slivnick, Amita Singh, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 19, 2016
Three-dimensional registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validationDavid Prabhu, Emile Mehanna, Madhusudhana Gargesha, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Current Cardiology Reports|May 31, 2020
Artificial Intelligence in Intracoronary ImagingRussell Fedewa, Rishi Puri, Eitan Fleischman, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Parameter estimation of atherosclerotic tissue optical properties from three-dimensional intravascular optical coherence tomographyMadhusudhana Gargesha, Ronny Shalev, David Prabhu, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 18, 2022
Deep learning segmentation of coronary calcified plaque from intravascular optical coherence tomography (IVOCT) images with application to finite element modeling of stent deploymentYazan Gharaibeh, Pengfei Dong, David Prabhu, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 16, 2022
Co-registration of pre- and post-stent intravascular OCT images for validation of finite element model simulation of stent expansionYazan Gharaibeh, Juhwan Lee, David Prabhu, et al.
Proceedings of Spie--The International Society for Optical Engineering|April 3, 2018
Validation of parameter estimation methods for determining optical properties of atherosclerotic tissues in intravascular OCTRonny Shalev, Madhusudhana Gargesha, David Prabhu, et al.
Scientific Reports|February 15, 2020
Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology featuresJuhwan Lee, David Prabhu, Chaitanya Kolluru, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 24, 2016
Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacksRonny Shalev, Madhusudhana Gargesha, David Prabhu, et al.
International Journal of Biomedical Imaging|May 29, 2018
Cryo-Imaging and Software Platform for Analysis of Molecular MR Imaging of MicrometastasesMohammed Q Qutaish, Zhuxian Zhou, David Prabhu, et al.
European Heart Journal. Cardiovascular Imaging|September 14, 2023
Noninvasive assessment of left ventricular end-diastolic pressure using machine learning-derived phasic left atrial strainMartin M Gruca, Jeremy A Slivnick, Amita Singh, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 19, 2016
Three-dimensional registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validationDavid Prabhu, Emile Mehanna, Madhusudhana Gargesha, et al.
Pageof 3