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ARVO Annual Meeting Abstract June 2022

Deep learning (DL) to segment retinal layer disruption on optical coherence tomography (OCT) in neovascular age-related macular degeneration (nAMD)

Yun Li; Huanxiang Lu; Thomas Albrecht; Andreas Maunz; Ales Neubert; Fethallah Benmansour; Alvaro Gomariz; Jennifer Luu; Daniela Ferrara

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2079 – F0068. doi:

ARVO Annual Meeting Abstract June 2022

Prediction of proliferative diabetic retinopathy (PDR) from nonproliferative diabetic retinopathy (NPDR) using real-world (RW) electronic health record (EHR) data

Amy Shrader Babiuch; Qi Yang; Dimitrios Damopoulos; Shemra Rizzo; Carolina C S Valentim; Anna K Wu; Fethallah Benmansour; Jennifer Luu; Aneesha Kalur; Resya Sastry; Amogh Iyer; Justin Muste; Galin Spicer; Daniela Ferrara; Rishi P Singh

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1154. doi:

ARVO Annual Meeting Abstract June 2022

Development and validation of prognostic models to increase power of clinical trials for geographic atrophy (GA)

Verena Steffen; Neha Anegondi; Qi Yang; Michel Friesenhahn; Daniela Ferrara; Simon S Gao; Christina Rabe

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1498. doi:

ARVO Annual Meeting Abstract June 2022

Optical coherence tomography angiography of type 3 macular neovascularization, a clinicopathologic correlation

Andreas Berlin; Diogo Cabral; Ling Chen; Jeffrey D Messinger; Chandrakumar Balaratnasingam; Randev Mendis; Daniela Ferrara; K Bailey Freund; Christine A Curcio

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1018 – F0265. doi:

ARVO Annual Meeting Abstract June 2022

Quantification of lesion progression of incomplete and complete retinal pigment epithelium and outer retinal atrophy in age-related macular degeneration

Steffen Schmitz-Valckenberg; Marlene Sassmannshausen; Martina Braun; Verena Steffen; Simon S Gao; Lee Honigberg; Daniela Ferrara; Maximilian Pfau; Frank G Holz

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2321. doi:

ARVO Annual Meeting Abstract June 2022

Deep learning (DL) model to identify moderately severe and severe nonproliferative diabetic retinopathy (NPDR) from 7-field color fundus photographs (7F-CFP)

Fethallah Benmansour; Dimitrios Damopoulos; Qi Yang; Ales Neubert; Luís Mendes; Torcato Santos; Nripun Sredar; Jose G Cunha-Vaz; Daniela Ferrara

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2086 – F0075. doi:

ARVO Annual Meeting Abstract June 2022

Feature discovery using ablation studies for deep learning–based geographic atrophy (GA) progression prediction

Julia Cluceru; Neha Anegondi; Qi Yang; Verena Steffen; Christina Rabe; Michel Friesenhahn; Daniela Ferrara; Simon S Gao

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3859. doi:

ARVO Annual Meeting Abstract June 2022

Detecting patients with ocular comorbidities when screening for diabetic retinopathy (DR): an out-of-distribution (OOD) perspective

Jelena Novosel; Jian Dai; Daniela Ferrara; Fethallah Benmansour

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2987 – F0257. doi:

ARVO Annual Meeting Abstract June 2022

Predicting 5-year progression to vision-threatening complications using machine learning

Dimitrios Damopoulos; Luís Mendes; Torcato Santos; Ales Neubert; Daniela Ferrara; Jose G Cunha-Vaz; Fethallah Benmansour

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2085 – F0074. doi:

ARVO Annual Meeting Abstract June 2022

A unified deep learning approach for OCT segmentation from different devices and retinal diseases

Alvaro Gomariz; Huanxiang Lu; Yun Li; Thomas Albrecht; Andreas Maunz; Fethallah Benmansour; Jennifer Luu; Orcun Goksel; Daniela Ferrara

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2053 – F0042. doi:

ARVO Annual Meeting Abstract June 2021

Transdifferentiated retinal pigment epithelium (RPE) visible in vivo, of relevance to cell-based therapies in age-related macular degeneration (AMD)

Christine A Curcio; Dongfeng Cao; Jeffrey Messinger; Daniela Ferrara; K Bailey Freund; Ling Chen

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2540. doi:

ARVO Annual Meeting Abstract June 2021

Automated screening of moderately severe and severe nonproliferative diabetic retinopathy (NPDR) from 7-field color fundus photographs (7F-CFP) using deep learning (DL)

Fethallah Benmansour; Qi Yang; Dimitrios Damopoulos; Neha Anegondi; Ales Neubert; Jelena Novosel; Beatriz Garcia Armendariz; Daniela Ferrara

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):115. doi:

ARVO Annual Meeting Abstract June 2021

Multi-modal Geographic Atrophy Lesion Growth Rate Prediction using Deep Learning

Qi Yang; Neha Anegondi; Verena Steffen; Christina Rabe; Daniela Ferrara; Simon S. Gao

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):235. doi:

ARVO Annual Meeting Abstract June 2021

Predicting the development of clinically significant macular edema (CSME) in patients with mild nonproliferative diabetic retinopathy (NPDR) using machine learning (ML)

Dimitrios Damopoulos; Luís Mendes; Torcato Santos; Ales Neubert; Beatriz Garcia Armendariz; Robert Weikert; Daniela Ferrara; Jose G Cunha-Vaz; Fethallah Benmansour

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2106. doi:

ARVO Annual Meeting Abstract June 2021

Bilateral macular edema (ME) at baseline and 1 year due to diabetic retinopathy (DR), neovascular age-related macular degeneration (nAMD), and retinal vein occlusion (RVO)

Priya Kulkarni; Shih-Chen Chang; Ching-Yi (James) Chuo; Elizabeth Finucane; Natalia Callaway; Daniela Ferrara

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1129. doi:

ARVO Annual Meeting Abstract June 2021

Characterization of real-world progression from non-proliferative to proliferative diabetic retinopathy in patients with diabetes

Amy Babiuch; Sara L Gale; Thais F Conti; Lucas McLaughlin; Aneesha Kalur; Ryan Gan; Amogh Iyer; Daniela Ferrara; Tyler Greenlee; Galin Jackson Spicer; Justin Muste; Jill Jill Hopkins; Rishi P. Singh

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1120. doi:

ARVO Annual Meeting Abstract June 2021

Multiscale clinicopathologic correlation of canonical and non-canonical intraretinal neovascularization in age-related macular degeneration (AMD)

Jeffrey D. Messinger; Ling Chen; Andreas Berlin; Deepayan Kar; Tommaso Bacci; Chandrakumar Balaratnasingham; Randev Mendes; Daniela Ferrara; K Bailey Freund; Christine A Curcio

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):654. doi:

Articles July 2020

Recognizing Atrophy and Mixed-Type Neovascularization in Age-Related Macular Degeneration Via Clinicopathologic Correlation

PDF

Ling Chen; Miaoling Li; Jeffrey D. Messinger; Daniela Ferrara; Christine A. Curcio; K. Bailey Freund
TAGS: age-related macular degeneration, atrophy, neovascularization, pathologic, drusen, eye, choroid, atrophic condition of skin, histology
Trans. Vis. Sci. Tech.. 2020; 9(8):8. doi: https://doi.org/10.1167/tvst.9.8.8

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2020

Development of geographic atrophy assessed by multimodal imaging in intermediate age-related macular degeneration

Steffen Schmitz-Valckenberg; Martina Braun; Sarah Thiele; Simon S. Gao; Hao Chen; Verena Steffen; Jian Dai; Lee Honigberg; Daniela Ferrara; Frank G Holz; Marlene Sassmannshausen

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2353. doi:

ARVO Annual Meeting Abstract June 2020

Initial lesion growth rates and other baseline prognostic factors can improve the design of clinical trials in Geographic Atrophy (GA)

Michel Friesenhahn; Christina Rabe; Simon S. Gao; Verena Steffen; Phillip Lai; Daniela Ferrara; Christopher Brittain; Lee Honigberg

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2988. doi:

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Deep learning (DL) to segment retinal layer disruption on optical coherence tomography (OCT) in neovascular age-related macular degeneration (nAMD)

Prediction of proliferative diabetic retinopathy (PDR) from nonproliferative diabetic retinopathy (NPDR) using real-world (RW) electronic health record (EHR) data

Development and validation of prognostic models to increase power of clinical trials for geographic atrophy (GA)

Optical coherence tomography angiography of type 3 macular neovascularization, a clinicopathologic correlation

Quantification of lesion progression of incomplete and complete retinal pigment epithelium and outer retinal atrophy in age-related macular degeneration

Deep learning (DL) model to identify moderately severe and severe nonproliferative diabetic retinopathy (NPDR) from 7-field color fundus photographs (7F-CFP)

Feature discovery using ablation studies for deep learning–based geographic atrophy (GA) progression prediction

Detecting patients with ocular comorbidities when screening for diabetic retinopathy (DR): an out-of-distribution (OOD) perspective

Predicting 5-year progression to vision-threatening complications using machine learning

A unified deep learning approach for OCT segmentation from different devices and retinal diseases

Transdifferentiated retinal pigment epithelium (RPE) visible in vivo, of relevance to cell-based therapies in age-related macular degeneration (AMD)

Automated screening of moderately severe and severe nonproliferative diabetic retinopathy (NPDR) from 7-field color fundus photographs (7F-CFP) using deep learning (DL)

Multi-modal Geographic Atrophy Lesion Growth Rate Prediction using Deep Learning

Predicting the development of clinically significant macular edema (CSME) in patients with mild nonproliferative diabetic retinopathy (NPDR) using machine learning (ML)

Bilateral macular edema (ME) at baseline and 1 year due to diabetic retinopathy (DR), neovascular age-related macular degeneration (nAMD), and retinal vein occlusion (RVO)

Characterization of real-world progression from non-proliferative to proliferative diabetic retinopathy in patients with diabetes

Multiscale clinicopathologic correlation of canonical and non-canonical intraretinal neovascularization in age-related macular degeneration (AMD)

Recognizing Atrophy and Mixed-Type Neovascularization in Age-Related Macular Degeneration Via Clinicopathologic Correlation

Development of geographic atrophy assessed by multimodal imaging in intermediate age-related macular degeneration

Initial lesion growth rates and other baseline prognostic factors can improve the design of clinical trials in Geographic Atrophy (GA)

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