Marinko V. Sarunic
Simon Fraser University
227 Papers
1K Citations
Marinko V. Sarunic is an academic researcher from Simon Fraser University. The author has contributed to research in topics: Optical coherence tomography & Adaptive optics. The author has an hindex of 41, co-authored 198 publications. Previous affiliations of Marinko V. Sarunic include University of Lübeck & University of British Columbia.
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Papers
Data-based online nonlinear extremum-seeker for wavefront sensorless adaptive optics OCT (Conference Presentation)
Yifan Jian,Hans R. G. W. Verstraete,Morgan Heisler,Myeong Jin Ju,Daniel Wahl,Laurens Bliek,Jeroen Kalkman,Stefano Bonora,Michel Verhaegen,Marinko V. Sarunic +9 more
TL;DR: The Databased Online Nonlinear Extremum-seeker (DONE), a novel non-linear multivariate optimization algorithm in combination with in vivo human WSAO OCT imaging is investigated, including real time retinal layer segmentation and tracking (ILM and RPE), hysteresis correction for the multi-actuator adaptive lens, and precise synchronization control for the 200kHz laser source.
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Real-time retinal layer segmentation of adaptive optics optical coherence tomography angiography with deep learning
Yifan Jian,Svetlana Borkovkina,Worawee Japongsori,Acner Camino,Marinko V. Sarunic +4 more
- 01 Sep 2020
TL;DR: This work is the first demonstration of an ophthalmic imager with embedded artificial intelligence (AI) providing real-time feedback and a compact deep-learning architecture that segmented batches of OCT B-scans and produced the corresponding OCT and OCTA projections within only 41 ms.
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Automatic optimization high-speed high-resolution OCT retinal imaging at 1μm
Michelle Cua,Xiyun Liu,Dongkai Miao,Sujin Lee,Sieun Lee,Stefano Bonora,Robert J. Zawadzki,Paul J. Mackenzie,Yifan Jian,Marinko V. Sarunic +9 more
TL;DR: A focus-stacking optical coherence tomography (OCT) system with automatic optimization for high-resolution, extended-focal-range clinical retinal imaging and extracted clinically-relevant parameters such as the nerve fiber layer thickness and lamina cribrosa microarchitecture is presented.
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Progress on Multimodal Adaptive Optics OCT and Multiphoton Imaging
William Newberry,Daniel Wahl,Myeong Jin Ju,Yifan Jian,Marinko V. Sarunic +4 more
- 01 Sep 2020
TL;DR: In this paper, the use of Sensorless Adaptive Optics (SAO) with OCT and Two Photon Excited Fluorescence (TPEF) for non-invasive retinal imaging is presented.
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•Posted Content
Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography.
TL;DR: In this paper, a Cycle-Consistent Generative Adversarial Networks (CycleGAN) was used for the domain adaptation of OCT volumes, which was done in collaboration with the Biomedical Optics Research Group and Functional & Anatomical Imaging & Shape Analysis Lab at Simon Fraser University.
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