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ARVO Annual Meeting Abstract June 2021

Identification of choroidal neovascularization activity using deep learning

Xiaoyong Wang; Simon S. Gao; Michael Kawczynski; Neha Anegondi; Andreas Thalhammer; Thomas Bengtsson; Jeffrey R Willis; Jian Dai

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2141.

ARVO Annual Meeting Abstract June 2021

Prediction of best-corrected visual acuity (BCVA) from color fundus photography (CFP) using deep learning (DL)

Michael Kawczynski; Neha Anegondi; Qi Yang; Jeffrey R Willis; Thomas Bengtsson; Simon S. Gao; Jian Dai

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):126.

Special Issue September 2020

Development of Deep Learning Models to Predict Best-Corrected Visual Acuity from Optical Coherence Tomography

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Michael G. Kawczynski; Thomas Bengtsson; Jian Dai; J. Jill Hopkins; Simon S. Gao; Jeffrey R. Willis
TAGS: deep learning, eye, optical coherence tomography, visual acuity
Trans. Vis. Sci. Tech.. 2020; 9(2):51. https://doi.org/10.1167/tvst.9.2.51

Includes: Supplemental Content

ARVO Imaging in the Eye Conference Abstract July 2020

Deep Learning Predicts Laterality and Capture Field of Color Fundus Photographs

Michael Kawczynski; Neha Anegondi; Simon Gao; Jeffrey Willis; Thomas Bengtsson; Jian Dai

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PB0015.

ARVO Annual Meeting Abstract June 2020

Accurately Identify nAMD Patients with Low Anti-VEGF Treatment Need by Deep Learning

Jian Dai; Andreas Thalhammer; Michael Kawczynski; Neha Anegondi; Xiaoyong Wang; Andreas Maunz; Thomas Bengtsson; Simon S. Gao; Jeffrey Willis

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4218.

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