Publications & Research
20+ peer-reviewed publications spanning medical imaging, AI diagnostics, and ophthalmic technologies. This body of work reflects the technical foundation behind my approach to medtech strategy and health innovation.
Published in Biomedical Optics Express · Journal of Digital Imaging · Communications Engineering · Frontiers in Medicine · Scientific Reports · Investigative Ophthalmology & Visual Science · Optics Letters · Journal of Biophotonics · Translational Vision Science & Technology
AI & Deep Learning
Developing AI algorithms and neural networks to automate medical image analysis and improve diagnostic accuracy
Systematic review of generative adversarial networks (GANs) for medical image classification and segmentation
Comprehensive review analyzing how GANs revolutionize medical imaging by generating synthetic training data and improving segmentation accuracy for clinical diagnostics.
187 citationsDeep learning-based optical coherence tomography angiography image construction using spatial vascular connectivity network
Novel deep learning approach that reconstructs high-quality OCTA images from OCT data, reducing scan time while maintaining vascular detail for retinal disease assessment.
13 citationsADC-net: an open-source deep learning network for automated dispersion compensation in optical coherence tomography
Open-source neural network that automatically corrects optical dispersion artifacts in OCT images, improving image clarity for clinical interpretation.
16 citationsMedical Imaging Systems
Designing imaging tools and analysis software for OCT/OCTA systems in clinical and research applications
OCTA-ReVA: an open-source toolbox for comprehensive retinal vessel feature analysis in optical coherence tomography angiography
Developed an open-source software toolbox for automated retinal vessel analysis in OCTA, enabling standardized quantification of vascular biomarkers for clinical research.
4 citationsAdaptive vessel tracing and segmentation in OCT enables the robust detection of wall-to-lumen ratio abnormalities in 5xFAD mice
Developed adaptive vessel tracing algorithms for OCT to quantify retinal vascular wall-to-lumen ratios, enabling early detection of Alzheimer's-related vascular changes.
NewRetinal Imaging & OCT
Advancing optical coherence tomography techniques for earlier detection of retinal diseases and vascular abnormalities
Depth-resolved vascular profile features for artery-vein classification in OCT and OCT angiography of human retina
Novel method for automatically distinguishing retinal arteries from veins using depth-resolved OCT features, enabling better assessment of vascular diseases like diabetic retinopathy.
27 citationsFunctional Imaging
Developing techniques to measure real-time retinal function and photoreceptor activity for early disease detection
Intrinsic signal optoretinography revealing AD-induced retinal photoreceptor hyperexcitability before a detectable morphological abnormality
Novel optoretinography technique that detects photoreceptor hyperexcitability in Alzheimer's disease models before visible structural changes, enabling earlier diagnosis.
6 citationsInterested in how this research translates to commercial and clinical applications? Get in touch.