| Deep neural networks for A-line-based plaque classification in coronary intravascular optical coherence tomography images C Kolluru, D Prabhu, Y Gharaibeh, H Bezerra, G Guagliumi, D Wilson Journal of Medical Imaging 5 (4), 044504-044504, 2018 | 67 | 2018 |
| Coronary calcification segmentation in intravascular OCT images using deep learning: application to calcification scoring Y Gharaibeh, D Prabhu, C Kolluru, J Lee, V Zimin, H Bezerra, D Wilson Journal of Medical Imaging 6 (4), 045002-045002, 2019 | 64 | 2019 |
| Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features J Lee, D Prabhu, C Kolluru, Y Gharaibeh, VN Zimin, LAP Dallan, ... Scientific reports 10 (1), 2596, 2020 | 61 | 2020 |
| Automated plaque characterization using deep learning on coronary intravascular optical coherence tomographic images J Lee, D Prabhu, C Kolluru, Y Gharaibeh, VN Zimin, HG Bezerra, ... Biomedical optics express 10 (12), 6497-6515, 2019 | 55 | 2019 |
| Segmentation of coronary calcified plaque in intravascular OCT images using a two-step deep learning approach J Lee, Y Gharaibeh, C Kolluru, VN Zimin, LAP Dallan, JN Kim, ... IEEE Access 8, 225581-225593, 2020 | 36 | 2020 |
| Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets D Prabhu, HG Bezerra, C Kolluru, Y Gharaibeh, E Mehanna, H Wu, ... Journal of Biomedical Optics 24 (10), 106002-106002, 2019 | 35 | 2019 |
| Learning with fewer images via image clustering: Application to intravascular OCT image segmentation C Kolluru, J Lee, Y Gharaibeh, HG Bezerra, DL Wilson IEEE Access 9, 37273-37280, 2021 | 26 | 2021 |
| Quantitative and qualitative evaluation of deep learning automatic segmentations of corneal endothelial cell images of reduced image quality obtained following cornea transplant N Joseph, C Kolluru, BAM Benetz, HJ Menegay, JH Lass, DL Wilson Journal of Medical Imaging 7 (1), 014503-014503, 2020 | 25 | 2020 |
| Machine learning for segmenting cells in corneal endothelium images C Kolluru, BA Benetz, N Joseph, HJ Menegay, JH Lass, D Wilson Medical Imaging 2019: Computer-Aided Diagnosis 10950, 1126-1135, 2019 | 25 | 2019 |
| Voxel-based plaque classification in coronary intravascular optical coherence tomography images using decision trees C Kolluru, D Prabhu, Y Gharaibeh, H Wu, DL Wilson Proceedings of SPIE--the International Society for Optical Engineering 10575, 2018 | 22 | 2018 |
| Fascicles split or merge every∼ 560 microns within the human cervical vagus nerve AR Upadhye, C Kolluru, L Druschel, L Al Lababidi, SS Ahmad, ... Journal of neural engineering 19 (5), 054001, 2022 | 18 | 2022 |
| In vivo visualization of pig vagus nerve “vagotopy” using ultrasound ML Settell, AC Skubal, RCH Chen, M Kasole, BE Knudsen, EN Nicolai, ... Frontiers in Neuroscience 15, 676680, 2021 | 14 | 2021 |
| Deep learning segmentation of coronary calcified plaque from intravascular optical coherence tomography (IVOCT) images with application to finite element modeling of stent … Y Gharaibeh, P Dong, D Prabhu, C Kolluru, J Lee, V Zimin, H Mozafari, ... Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and …, 2019 | 13 | 2019 |
| Automated analysis of fibrous cap in intravascular optical coherence tomography images of coronary arteries J Lee, GTR Pereira, Y Gharaibeh, C Kolluru, VN Zimin, LAP Dallan, ... Scientific Reports 12 (1), 21454, 2022 | 12 | 2022 |
| OCTOPUS–Optical coherence tomography plaque and stent analysis software J Lee, JN Kim, Y Gharaibeh, VN Zimin, LAP Dallan, GTR Pereira, ... Heliyon 9 (2), 2023 | 9 | 2023 |
| Automatic microchannel detection using deep learning in intravascular optical coherence tomography images J Lee, JN Kim, GTR Pereira, Y Gharaibeh, C Kolluru, VN Zimin, ... Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and …, 2022 | 7 | 2022 |
| Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling Y Gharaibeh, P Dong, D Prabhu, C Kolluru, J Lee, V Zimin, H Mozafari, ... SPIE, 2019 | 6 | 2019 |
| Prediction of stent under-expansion in calcified coronary arteries using machine-learning on intravascular optical coherence tomography. 2022 May 16 [cited 2023 Oct 5] Y Gharaibeh, J Lee, VN Zimin, C Kolluru, LAP Dallan, GTR Pereira, ... arXiv preprint arXiv.2205.10354, 0 | 6 | |
| Prediction of stent under-expansion in calcified coronary arteries using machine learning on intravascular optical coherence tomography images Y Gharaibeh, J Lee, VN Zimin, C Kolluru, LAP Dallan, GTR Pereira, ... Scientific Reports 13 (1), 18110, 2023 | 5 | 2023 |
| Plaque segmentation in intravascular optical coherence tomography (oct) images using deep learning DL Wilson, Y Gharaibeh, D Prabhu, J Lee, C Kolluru US Patent 11,710,238, 2023 | 5 | 2023 |
David L WilsonRobert Herbold Professor of Biomedical Engineering and Radiology, Case Western Reserve University在 case.edu 的电子邮件经过验证
