Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks

Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images

(2017) Leyuan Fang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Imaging individual neurons in the retinal ganglion cell layer of the living eye

(2017) Ethan A. Rossi et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The organization of the cone photoreceptor mosaic measured in the living human retina

(2017) Lucie Sawides et al.   VISION RESEARCH

Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration

(2017) S. P. K. Karri et al.   Biomedical Optics Express

Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search

(2017) Leyuan Fang et al.   Biomedical Optics Express

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images

(2016) Qiaoliang Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images

(2016) Mark J. J. P. van Grinsven et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Segmenting Retinal Blood Vessels With _newline Deep Neural Networks

(2016) Pawel Liskowski et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope images

(2016) David Cunefare et al.   Biomedical Optics Express

Multi-modal automatic montaging of adaptive optics retinal images

(2016) Min Chen et al.   Biomedical Optics Express

Performance analysis of cone detection algorithms

(2015) Letizia Mariotti et al.   JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Semi-automated identification of cones in the human retina using circle Hough transform

(2015) Danuta M. Bukowska et al.   Biomedical Optics Express

Adaptive Optics Ophthalmoscopy

(2015) Austin Roorda et al.   Annual Review of Vision Science

Technical Factors Influencing Cone Packing Density Estimates in Adaptive Optics Flood Illuminated Retinal Images

(2014) Marco Lombardo et al.   PLoS One

Adaptive optics SLO/OCT for 3D imaging of human photoreceptors in vivo

(2014) Franz Felberer et al.   Biomedical Optics Express

Automatic detection of modal spacing (Yellott's ring) in adaptive optics scanning light ophthalmoscope images

(2013) Robert F Cooper et al.   OPHTHALMIC AND PHYSIOLOGICAL OPTICS

In vivo dark-field imaging of the retinal pigment epithelium cell mosaic

(2013) Drew Scoles et al.   Biomedical Optics Express

Automatic cone photoreceptor segmentation using graph theory and dynamic programming

(2013) Stephanie J. Chiu et al.   Biomedical Optics Express

Subclinical Photoreceptor Disruption in Response to Severe Head Trauma

(2012) Kimberly E. Stepien   ARCHIVES OF OPHTHALMOLOGY

Repeatability of In Vivo Parafoveal Cone Density and Spacing Measurements

(2012) Robert Garrioch et al.   OPTOMETRY AND VISION SCIENCE

The use of forward scatter to improve retinal vascular imaging with an adaptive optics scanning laser ophthalmoscope

(2012) Toco Y. P. Chui et al.   Biomedical Optics Express

Phase-sensitive imaging of the outer retina using optical coherence tomography and adaptive optics

(2011) Ravi S. Jonnal et al.   Biomedical Optics Express

Reflective afocal broadband adaptive optics scanning ophthalmoscope

(2011) Alfredo Dubra et al.   Biomedical Optics Express

Imaging cone photoreceptors in three dimensions and in time using ultrahigh resolution optical coherence tomography with adaptive optics

(2011) Omer P. Kocaoglu et al.   Biomedical Optics Express

Noninvasive imaging of the human rod photoreceptor mosaic using a confocal adaptive optics scanning ophthalmoscope

(2011) Alfredo Dubra et al.   Biomedical Optics Express

Observation of cone and rod photoreceptors in normal subjects and patients using a new generation adaptive optics scanning laser ophthalmoscope

(2011) David Merino et al.   Biomedical Optics Express

Adaptive optics scanning laser ophthalmoscope with integrated wide-field retinal imaging and tracking

(2010) R. Daniel Ferguson et al.   JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION

High-Resolution Imaging of Resolved Central Serous Chorioretinopathy Using Adaptive Optics Scanning Laser Ophthalmoscopy

(2010) Sotaro Ooto et al.   OPHTHALMOLOGY

Temporal changes of human cone photoreceptors observed in vivo with SLO/OCT

(2010) M. Pircher et al.   Biomedical Optics Express

Adaptive optics optical coherence tomography at 120,000 depth scans/s for non-invasive cellular phenotyping of the living human retina

(2009) Cristiano Torti et al.   OPTICS EXPRESS

Fourier-Domain Optical Coherence Tomography and Adaptive Optics Reveal Nerve Fiber Layer Loss and Photoreceptor Changes in a Patient With Optic Nerve Drusen

(2008) Stacey S Choi et al.   JOURNAL OF NEURO-OPHTHALMOLOGY

Automated analysis of differential interference contrast microscopy images of the foveal cone mosaic

(2008) David H. Wojtas et al.   JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION

Adaptive-optics imaging of human cone photoreceptor distribution

(2008) Toco Yuen Chui et al.   JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION