EviRed team members were present during the ARVO 2024

As in previous years, the entire ophthalmology research community gathered at the ARVO 2024 conference, held in Seattle, USA, from May 4 to May 8, 2024 (https://www.arvo.org/annual-meeting/). Several participants from the Evired project were present: the Zeiss team, as well as Mostafa El Habib Daho and Mathieu Lamard from LaTIM. The team was able to meet to review the project and take advantage of the numerous scientific presentations.

Mostafa El Habib Daho presented his work on the classification of diabetic retinopathy using an artificial intelligence system that combines wide-field retinal photography from the CLARUS® 500 (Carl Zeiss Meditec Inc., Dublin, CA, USA) and the 200DTx (OPTOS, Dunfermline, UK. His presentation attracted considerable interest from attendees, highlighting the innovative and significant potential of the Evired project.

Carla Danese, from APHP Lariboisiére Ophthalmology Department, presented also her work which assess the one year change of retinal non perfusion in non proliferative diabetic retinopathy on optical coherence tomography angiography (OCT-A)15x15mmimages


NB, On the pictures,

  • Zeiss and LaTIM teams:
    • First rank from left to right: Ali Salehi (ZEISS), Hugang Ren (ZEISS), Deborah Cosette (ZEISS)
    • Second rank from left to right: Stephanie Magazzeni (ZEISS), Rebecca Berghorn (ZEISS), Mostafa El Habib Daho (LaTIM), Mathieu Lamard (LaTIM), Ian Raden (ZEISS), Sejal Ghate (ZEISS), Bryan Rogoff (ZEISS)
  • Mostafa El Habib Daho presenting his work
  • Carla Danese presenting her poster
  • Deborah Cosette (Zeiss)/Mostafa El Habib Daho (LaTIM)/Carla Danese (APHP- Lariboisiére Ophthalmology Department

Thesis defense on “Topology and morphometry of healthy and pathological human retinal capillaries”.

On the 26 April 2024, Dr Sophie Bonnin, defended her PhD thesis brilliantly entitled “Topology and morphometry of healthy and pathological human retinal capillaries “.

This presentation was very emotional and dedicated to Pr. Ramin Tadayoni who passed away few days before, and who have always supported and encouraged us to achieve high goals.

This was the achievement of a long journey of more than 3 years of hard work, under the direction of Professor Aude Couturier (Lariboisière Hospital) and Professor Michel Paques (Hospital of XV-XX)

The defense took place in the presence of a jury composed of the following members:

  • Bahram Bodaghi, Professor of Ophthalmology, Pitié Salpêtrière Hospital, Sorbonne Université, President of the jury
  • Marcela Szopos, Professor in Applied Mathematics, CNRS, MAP5, Université Paris Cité,
  • Marie-Noëlle Delyfer, Professor of Ophthalmology, , Centre Hospitalier Universitaire de Bordeaux ,Université de Bordeaux
  • P Alain Gaudric, Professor of Ophthalmology, APHP, Hôpital Lariboisière and Université de Paris
  • José-Maria Fullana, Professor in Biomechanics of fluid, department of Mechanical Engineering, Institut Jean Le Rond d’Alembert, UMR 7190, Sorbonne Université, CNRS Paris
  • Xavier Guillonneau, Research Associate, Sorbonne University, INSERM, CNRS, Institut de la Vision, Paris.

The aim of this thesis was to deepen the analysis and understanding of the physiological and pathological retinal microcirculation, with a special focus on diabetes, using innovative modern clinical imaging technologies.

The first part was dedicated to the characterization of the retinal microcirculation in healthy subjects by combining several high-resolution imaging technologies, in particular optical coherence tomography angiography and ophthalmoscopy, both corrected by adaptive optics, showing the 3D organization of the capillary layers.

The second part studied the early microvascular manifestations of diseases affecting the microcirculation by evaluating patients with diabetes and patients suffering from Takayasu’s disease.

This work paves the way for a new analysis of neurovascular relationships in the human retina, which may provide a new basis for modelling blood flow in neural tissue.

This work was performed in XV-XX hospital (CIC 1423) with the excellent Paris Eye Imaging team.

This thesis has been possible with the support of RHU EviRed, Horizon 2020 research and innovation programme, Région Ile-de-France and IHU ForeSight, and the teams of XV-XX, Lariboisière Hospital Rothschild Foundation Hospital and Pitié-Salpêtrière Hospital.


For the RHU Evired, Dr. Sophie Bonnin has been involved in the project since its inception and contributes significantly to the daily work, particularly in the establishment and follow-up of the Reading Centre.

Her main interest area work are dedicated to imaging, retina and neuro-ophthalmology area.

NB: on the picture from the left to the right: Pr.  Marcela Szopos, Pr. José-Maria Fullana,  Pr. Bahram Bodaghi, Pr. Aude Couturier, Dr. Sophie Bonnin, Pr. Michel Paques, Dr. Xavier Guillonneau, Pr. Marie-Noëlle Delyfer .Via web connection Pr Alain Gaudric

MICCAI 2024- DIAMOND Challenge Launch : Who will participate ?

In the framework of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024), taking place in Marrakesh, Morocco, in October 2024, the EviRed consortium organizes an AI challenge on Device-Independent diAbetic Macular edema ONset preDiction (DIAMOND).

The challenge’s focus is on center-involved Diabetic Macular Edema (ci-DME), a critical form of DME responsible for significant vision impairment. The presence of DME is generally assessed through 3D optical coherence tomography (OCT) imaging. As a sub-objective of EviRed, DIAMOND seeks to revolutionize the approach to diagnosing and treating ci-DME by integrating AI and deep learning with 2D ultra-wide-field color fundus photography (UWF-CFP). More challenging than assessing the presence of ci-DME, the goal is to develop and evaluate models that can predict if a patient will develop ci-DME within a year, using UWF-CFP images alone. Success in this challenge could significantly improve early detection and treatment planning, reduce vision loss incidents, and exemplify AI’s efficacy in healthcare.

For training, the DIAMOND Challenge uses data collected in the framework of EviRed. For performance evaluation, DIAMOND will also use independent data from the LAZOUNI Ophthalmology Clinic in Tlemcen, Algeria. By leveraging diverse datasets, the challenge underscores its commitment to developing solutions that are universally applicable, transcending geographic and demographic boundaries. This generality is critical in ensuring that the predictive models developed are robust and effective across different population groups, enhancing their clinical utility on a global scale.

Participants in this challenge will not have access to the training, validation, or test datasets and, consequently, will not have the opportunity to train their models directly. Instead, they are required to submit their code to the organizing committee, who will then run it on a specialized cloud-based cluster. This methodology not only challenges participants to develop highly generalizable models but also prepares them for real-world situations where data privacy, ethical considerations, and logistical limitations are common.

More information here: https://www.codabench.org/competitions/2333/

EviRed is recruiting- Apply before the 31th of March



To reinforce his team, Prof Tadayoni’s  ophthalmology department is looking for his/her future motivated colleague to join the EVIRED team for a renewable 6-month contract.

The position may be part-time or full-time and the assignments and activities will be distributed following the time and your degree level:

  • 2 to 3 days of activity in the EVIRED reading center as a reader («grader») for the analysis of retinal imageries (photographs of the fundus in ultra-large field, OCT (Optical Coherence Tomography) and OCT-A ( OCT-Angiography) from different types of patient machines included in the EVIRED protocol to allow training and validation of intelligence algorithms
  • 1 to 2 days of activity dedicated to research work either in the department or on  the RHU EVIRED’s ancillary projects
  • 1 to 2 days of observation activity and training in the medical retina department :
    •  at the consultations where you can work in pair with the senior ophthalmologists for the  patient’s follow-up and where you will have  access to a technical platform of retinal imaging, or you can help in the image’s interpretation acquired by the orthoptists of the department
    •  at the IVIs circuit where you will help with IVIs
    •  In  clinical research,  where you can discover the managment  of academic/ institutional research projects.

This position is open to young graduates with knowledge in ophthalmology, orthoptists,   foreign resident or young ophthalmologist with research appetence.  Foreign doctors can apply if they have a solid training and experience in ophthalmology and   can justify their equivalence of diploma and being authorized to work in France (current work authorization/visa)

The required skills are:

  • Rigor and organizational
  • Sense of deadlines and results
  • Autonomy
  • Ease with computer tools
  • Use business software
  • Observation skills
  • Medical research interest
  • Teamwork and/or networking


You are interested, send us your application (CV and cover letter) until  March,31 2024 to recherche.oph.lrb@aphp.fr


Remuneration: Salary according to APHP grid and according to your background and diploma BAC + 2: TEC junior/ BAC + 4: TEC senior/ foreign resident / contractual hospital practitioner

Fourth candle blown for EVIRED

On the February 25th, EviRed celebrated its 4th anniversary.

The consortium members (APHP, ADCIS, EVOLUCARE, LATIM-UBO, UP and ZEISS) worked on patient data collected from the 3182 patients included in the Evired cohort by the 14 investigators sites. Clinical data and images are the key to develop the most innovative and powerful algorithms based on AI for better predicting Progression of the Diabetic Retinopathy.

For 4 years, the entire RHU EviRed team has been working tirelessly for the success of the project and first results will be coming soon.

Stay tuned.