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“VMseg: Using spatial variance to automatically segment retinal non-perfusion on OCT-angiography”

Knowledge dissemination Article

H.Le Boite and al.

PLOS ONE 19(8): e0306794.

https://doi.org/10.1371/journal.pone.0306794

“Spatially resolved imaging of human macular capillaries using adaptive optics-enhanced optical coherence tomography angiography”

Publication Article

Bonnin S and al.

Sci Rep. 2024 Jul 5;14(1):15540. PMID: 38969668; PMCID: PMC11226425

https://doi.org/10.1038/s41598-024-65534-y

“A review of deep learning-based information fusion techniques for multimodal medical image classification”

Publication Article

Y. Li and al.

Computers in Biology and Medicine,Volume 177, July 2024,108635,ISSN 0010-4825,

https://doi.org/10.1016/j.compbiomed.2024.108635

https://www.sciencedirect.com/science/article/pii/S0010482524007200

“Detection of capillary abnormalities in early diabetic retinopathy using scanning laser ophthalmoscopy and optical coherence tomography combined with adaptive optics “

Knowledge dissemination Article

Torm, M.E.W.and al.

Sci Rep 14, 13450 (2024).

https://doi.org/10.1038/s41598-024-63749-7

 

“One year change of retinal non perfusion in non proliferative diabetic retinopathy”

Knowledge dissemination Poster

C. Danese and al.

ARVO Annual Meeting Abstract  |   June 2024

Investigative Ophthalmology & Visual Science June 2024, Vol.65, 3209

“Cross-Device AI Fusion: Enhancing Diabetic Retinopathy Diagnosis with Combined Clarus and Optos Images”

Knowledge dissemination Poster

M. El Habib Daho 

ARVO Annual Meeting Abstract  |   June 2024

Investigative Ophthalmology & Visual Science June 2024, Vol.65, 5630.

“Topology And Morphometry Of Healthy And Pathological Human Retinal Capillaries”

Knowledge dissemination Thesis

PhD Thesis Sophie Bonnin

Defended April 2024

“DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis”

Publication Article

M. El Habib Daho and al.

Artificial Intelligence in Medicine, Volume 149,2024,102803,

https://doi.org/10.1016/j.artmed.2024.102803

https://www.sciencedirect.com/science/article/pii/S0933365724000459

“Artificial intelligence-based prediction of diabetic retinopathy evolution (EviRed): protocol for a prospective cohort”

Publication Article

R.Tadayoni and al.

BMJ Open 2024;14:e084574

https://doi.org/10.1136/bmjopen-2024-084574

“Multimodal information fusion for the diagnosis of diabetic retinopathy « Multimodal information fusion for the diagnosis of diabetic retinopathy”

Knowledge dissemination Thesis

PhD thesis Y. Li defended in December 2023

“LMT: Longitudinal Mixing Training, a framework to predict disease progression from a single image.”

Publication Oral communication

R. Zeghlache and al.

Machine Learning in Medical Imaging. MLMI 2023. Lecture Notes in Computer Science, vol 14349. Springer, Cham.

https://doi.org/10.1007/978-3-031-45676-3_3

“Longitudinal self-supervised learning using neural ordinary differential equation”

Publication Oral communication

R. Zeghlache and al.

Predictive Intelligence in Medicine. PRIME 2023.October 8,2023 Lecture Notes in Computer Science, vol 14277. Springer, Cham.

https://doi.org/10.1007/978-3-031-46005-0_1

“Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images”

Publication Oral communication

M. El Habib Daho, et al.

“Ophthalmic Medical Image Analysis” . OMIA 2023. Lecture Notes in Computer Science, vol 14096. Springer, Cham.

https://doi.org/10.1007/978-3-031-44013-7_2

 

 

“Is There a Nonperfusion Threshold on OCT Angiography Associated With New Vessels Detected on Ultra-Wide-Field Imaging in Diabetic Retinopathy?”

Knowledge dissemination Article

Le Boité H and al.

Translational Vision Science & Technology September 2023, Vol.12, 15.

https://doi.org/10.1167/tvst.12.9.15

“In vivo evaluation of the progression of retinal non-perfusion in diabetic retinopathy”

Knowledge dissemination Master 2

Master 2 of C. Danese defended in September 2023

“Hybrid Fusion of High-Resolution and Ultra-Widefield OCTA Acquisitions for the Automatic Diagnosis of Diabetic Retinopathy”

Publication Article

Y. Li, et al.

Diagnostics (Basel). 2023 Aug 26 ;13(17):2770.

https://doi.org/10.3390/diagnostics13172770

PMID: 37685306; PMCID: PMC10486731.

“Volumetric montage for large field of view optical coherence tomography angiography scan”

Knowledge dissemination Poster

W.Lewis and al.

ARVO Annual Meeting Abstract  |   June 2023

Investigative Ophthalmology & Visual Science June 2023, Vol.64, 3389.

“Evolution of Diabetic Retinopathy : a clinical longitudinal cohort”

Knowledge dissemination Master 2

Master 2 of A. Leclercq  defended in June 2023

“Time-aware deep models for predicting diabetic retinopathy progression”

Knowledge dissemination Poster

R. Zeghlache  and al.

ARVO Annual Meeting Abstract  |   June 2023

Investigative Ophthalmology & Visual Science June 2023, Vol.64, 246

“Performance of two ultra-widefield retinal imaging systems for the automatic diagnosis of diabetic retinopathy”

Knowledge dissemination Poster

M. El Habib Daho  and  al.

ARVO Annual Meeting Abstract  |   June 2023

Investigative Ophthalmology & Visual Science June 2023, Vol.64, 251

“Deep learning segmentation of retinal non-perfusion on OCTA”

Knowledge dissemination Poster

Le Boité H, and al.

ARVO Annual Meeting Abstract  |   June 2023

Investigative Ophthalmology & Visual Science June 2023, Vol.64, OD87

 

“3-D analysis of multiple OCTA acquisitions for the automatic diagnosis of diabetic retinopathy”

Knowledge dissemination Poster

Y.Li and al

ARVO Annual Meeting Abstract  |   June 2023

Investigative Ophthalmology & Visual Science 2023;64(8):279-279 2

“Correlation between the volume of intraretinal macular fluid and the presence of hyperreflective points in macular edema”

Knowledge dissemination Master 2

Master 2 Salome Maunoury

Defended October 2022

“Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification”

Publication Oral communication

Y.Li and al.

Ophthalmic Medical Image Analysis, Singapore, Singapore, Sep. 2022, pp. 53–62.

https://doi.org/10.1007/978-3-031-16525-2_6

 

“Detection of Diabetic Retinopathy Using Longitudinal Self-supervised Learning,”

Publication Oral communication

R.Zeghlache et al.

in Ophthalmic Medical Image Analysis, Singapore, Singapore, Sep. 2022, pp. 43–52.

https://doi.org/10.1007/978-3-031-16525-2_5

 

“Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy”

Publication Oral communication

Y.Li et al.,

in Proc challenge MICCAI-DRAC, Singapore, Singapore, Sep. 2022.

https://doi.org/10.48550/arXiv.2211.11509

“MULTIMODAL INFORMATION FUSION FOR THE DIAGNOSIS OF DIABETIC RETINOPATHY”

Knowledge dissemination Poster

Y.Li and al.

ARVO Annual Meeting Abstract  |   June 2022

Investigative Ophthalmology & Visual Science June 2022, Vol.63, 2988 – F0258.

“3-D style transfer between structure and flow channels in OCT angiography”

Knowledge dissemination Poster

G.Quellec and al.

ARVO Annual Meeting Abstract  |   June 2022

Investigative Ophthalmology & Visual Science June 2022, Vol.63, 2989 – F0259

“Multimodal Information Fusion for the Diagnosis of Diabetic Retinopathy”

Publication Oral communication

Y. Li et al.

in Proc RITS, Brest, France, May 2022.

“Validation of an angiogram quality evaluation algorithm in a cohort of diabetic patients”

Knowledge dissemination Master 2

Master 2 Manon Nailly

Defended October 2021

“Comparison of peripheral capillary densities to macular capillary density in different RD stages in large-field OCTA”

Knowledge dissemination Master 2

Master 2 Hajar ELKSSIMI

Defended October 2021

Acknowledgment

Those works take place in the framework of the RHU project Evired.

The Evired program bearing the reference ANR-18-RHUS-0008 is supports in part  from State aid managed by the French National Research Agency under “Investissement d’Avenir”,integrated in “France 2023 “

This work benefits from State aid managed by the National Research Agency under the investment program for the Future integrated to France 2030 bearing the reference ANR-18-RHUS-0008

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