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Yazan Gharaibeh

Showing results (1-10 of 23) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|March 24, 2018
Voxel-based plaque classification in coronary intravascular optical coherence tomography images using decision treesChaitanya Kolluru, David Prabhu, Yazan Gharaibeh, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 8, 2018
Deep neural networks for A-line-based plaque classification in coronary intravascular optical coherence tomography imagesChaitanya Kolluru, David Prabhu, Yazan Gharaibeh, et al.
IEEE Access : Practical Innovations, Open Solutions|April 8, 2021
Learning With Fewer Images via Image Clustering: Application to Intravascular OCT Image SegmentationChaitanya Kolluru, Juhwan Lee, Yazan Gharaibeh, et al.
Journal of Biomedical Optics|October 6, 2019
Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasetsDavid Prabhu, Hiram Bezerra, Chaitanya Kolluru, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 7, 2020
Coronary calcification segmentation in intravascular OCT images using deep learning: application to calcification scoringYazan Gharaibeh, David Prabhu, Chaitanya Kolluru, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 16, 2022
Automatic A-line coronary plaque classification using combined deep learning and textural features in intravascular OCT imagesJuhwan Lee, Chaitanya Kolluru, Yazan Gharaibeh, et al.
Biomedical Optics Express|December 20, 2019
Automated plaque characterization using deep learning on coronary intravascular optical coherence tomographic imagesJuhwan Lee, David Prabhu, Chaitanya Kolluru, 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.
Applied Sciences (Basel, Switzerland)|October 31, 2022
Fractional Flow Reserve (FFR) Estimation from OCT-Based CFD Simulations: Role of Side BranchesPeshala T Gamage, Pengfei Dong, Juhwan Lee, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Proceedings of Spie--The International Society for Optical Engineering|March 24, 2018
Voxel-based plaque classification in coronary intravascular optical coherence tomography images using decision treesChaitanya Kolluru, David Prabhu, Yazan Gharaibeh, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 8, 2018
Deep neural networks for A-line-based plaque classification in coronary intravascular optical coherence tomography imagesChaitanya Kolluru, David Prabhu, Yazan Gharaibeh, et al.
IEEE Access : Practical Innovations, Open Solutions|April 8, 2021
Learning With Fewer Images via Image Clustering: Application to Intravascular OCT Image SegmentationChaitanya Kolluru, Juhwan Lee, Yazan Gharaibeh, et al.
Journal of Biomedical Optics|October 6, 2019
Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasetsDavid Prabhu, Hiram Bezerra, Chaitanya Kolluru, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 7, 2020
Coronary calcification segmentation in intravascular OCT images using deep learning: application to calcification scoringYazan Gharaibeh, David Prabhu, Chaitanya Kolluru, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 16, 2022
Automatic A-line coronary plaque classification using combined deep learning and textural features in intravascular OCT imagesJuhwan Lee, Chaitanya Kolluru, Yazan Gharaibeh, et al.
Biomedical Optics Express|December 20, 2019
Automated plaque characterization using deep learning on coronary intravascular optical coherence tomographic imagesJuhwan Lee, David Prabhu, Chaitanya Kolluru, 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.
Applied Sciences (Basel, Switzerland)|October 31, 2022
Fractional Flow Reserve (FFR) Estimation from OCT-Based CFD Simulations: Role of Side BranchesPeshala T Gamage, Pengfei Dong, Juhwan Lee, et al.
Pageof 3