| Intraoperative fluorescence imaging for personalized brain tumor resection: current state and future directions E Belykh, NL Martirosyan, K Yagmurlu, EJ Miller, JM Eschbacher, ... Frontiers in surgery 3, 55, 2016 | 135 | 2016 |
| Laser application in neurosurgery E Belykh, K Yagmurlu, NL Martirosyan, T Lei, M Izadyyazdanabadi, ... Surgical neurology international 8, 2017 | 53 | 2017 |
| Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning M Izadyyazdanabadi, E Belykh, MA Mooney, JM Eschbacher, P Nakaji, ... Frontiers in oncology 8, 240, 2018 | 44 | 2018 |
| Convolutional neural networks: Ensemble modeling, fine-tuning and unsupervised semantic localization for neurosurgical CLE images M Izadyyazdanabadi, E Belykh, M Mooney, N Martirosyan, J Eschbacher, ... Journal of Visual Communication and Image Representation 54, 10-20, 2018 | 41 | 2018 |
| Automatic polyp detection in colonoscopy videos Z Yuan, M Izadyyazdanabadi, D Mokkapati, R Panvalkar, JY Shin, ... Medical Imaging 2017: Image Processing 10133, 718-727, 2017 | 41 | 2017 |
| Weakly-supervised learning-based feature localization for confocal laser endomicroscopy glioma images M Izadyyazdanabadi, E Belykh, C Cavallo, X Zhao, S Gandhi, LB Moreira, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 37 | 2018 |
| Utilization of intraoperative confocal laser endomicroscopy in brain tumor surgery. E Belykh, C Cavallo, S Gandhi, X Zhao, D Veljanoski, NL Martirosyan, ... Journal of neurosurgical sciences 62 (6), 704-717, 2018 | 27 | 2018 |
| Diagnostic accuracy of a confocal laser endomicroscope for in vivo differentiation between normal injured and tumor tissue during fluorescein-guided glioma resection E Belykh, EJ Miller, AA Patel, MI Yazdanabadi, NL Martirosyan, ... World neurosurgery 115, e337-e348, 2018 | 26 | 2018 |
| Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks M Izadyyazdanabadi, E Belykh, N Martirosyan, J Eschbacher, P Nakaji, ... Medical Imaging 2017: Computer-Aided Diagnosis 10134, 651-659, 2017 | 20 | 2017 |
| Fluorescence image histology pattern transformation using image style transfer M Izadyyazdanabadi, E Belykh, X Zhao, LB Moreira, S Gandhi, C Cavallo, ... Frontiers in oncology 9, 519, 2019 | 19 | 2019 |
| Immediate label-free ex vivo evaluation of human brain tumor biopsies with confocal reflectance microscopy JM Eschbacher, JF Georges, E Belykh, MI Yazdanabadi, NL Martirosyan, ... Journal of Neuropathology & Experimental Neurology 76 (12), 1008-1022, 2017 | 11 | 2017 |
| Immediate ex-vivo diagnosis of pituitary adenomas using confocal reflectance microscopy: a proof-of-principle study MA Mooney, J Georges, MI Yazdanabadi, KY Goehring, WL White, ... Journal of Neurosurgery, 2017 | 11 | 2017 |
| Confocal laser endomicroscopy image analysis with deep convolutional neural networks MI Yazdanabadi Arizona State University, 2019 | 1 | 2019 |
Peter NakajiChair and Professor of Neurosurgery University of Arizona College of Medicine and Banner UMC PhoenixVerified email at bannerhealth.com
