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ARVO Annual Meeting Abstract June 2025

Reproducibility of the automatic quantification of disease features on Color Fundus Photography (CFP) of Diabetic Retinopathy (DR)

Acner Camino Benech; Ales Neubert; Dimitrios Damopoulos; Eric Gros; Hemanth Machavaram; Matthew McLeod; Fethallah Benmansour

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):5392.

ARVO Annual Meeting Abstract June 2025

Future optical coherence tomography image generation for anatomical treatment response prediction

Yusuke Kikuchi; Xue Li; Neha Anegondi; Acner Camino Benech; Michael H. Chen; Katie M Litts; Andreas Maunz; Matthew Kornelius McLeod; Daniela Ferrara; Qi Yang

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):5477.

ARVO Annual Meeting Abstract June 2025

Deep learning (DL) to predict faricimab treatment response in diabetic macular edema (DME) using color fundus photos and clinical data

Matthew Kornelius McLeod; Javid Abderezaei; Acner Camino Benech; Yusuke Kikuchi; Chen Chen; Daniela Ferrara; Qi Yang; Neha Anegondi

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):5450.

ARVO Annual Meeting Abstract June 2024

Predicting functional outcomes for different treatment durations of faricimab in diabetic macular edema (DME)

Yusuke Kikuchi; Javid Abderezaei; Matthew McLeod; Chen Chen; Acner Camino Benech; Daniela Ferrara; Neha Anegondi; Qi Yang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3754.

ARVO Annual Meeting Abstract June 2024

Faricimab treatment response prediction in diabetic macular edema (DME) using deep learning on optical coherence tomography (OCT) and clinical data

Matthew McLeod; Javid Abderezaei; Yusuke Kikuchi; Chen Chen; Acner Camino Benech; Daniela Ferrara; Neha Anegondi; Qi Yang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5645.

ARVO Annual Meeting Abstract June 2023

Deep learning segmentation of foveal avascular zone (FAZ) in optical coherence tomography angiography (OCTA) of nonproliferative diabetic retinopathy

Acner Camino Benech; Zilin Wang; Aditi Basu Bal; Fethallah Benmansour; Rick Carano; Daniela Ferrara

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1125.

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