During the last MICCAI (Medical Image Computing and Computer Assisted Interventions) conference held from October 8-12, 2023, in Vancouver, the UBO-LATIM team members, in charge of AI for EVIRED has presented three papers :
- “Longitudinal self-supervised learning using neural ordinary differential equation”/Zeghlache and al. Predictive Intelligence in Medicine. PRIME 2023. Lecture Notes in Computer Science, vol 14277. Springer, Cham. https://doi.org/10.1007/978-3-031-46005-0_1
- “LMT: Longitudinal Mixing Training, a framework to predict disease progression from a single image.”/ 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
- “Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images”/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
Additionally, during this conference, Yihao LI and Mostafa EL HABIB DAHO distinguished themselves during two challenges, organized as part of the congress:
- STAGE (Structural Functional Transition in Glaucoma Assessment – https://aistudio.baidu.com/competition/detail/968/0/introduction), organized by A*STAR (Singapore) and Sun Yat-Sen University (Canton) and sponsored by Baidu, finishing 1st on one task and 2nd on another.
- MMAC (Myopic Maculopathy Analysis Challenge) – https://codalab.lisn.upsaclay.fr/competitions/12441#learn_the_details-overview), organized by Tsinghua University (Beijing) and Shanghao Jiao Tong University (Shanghai), finishing 1st on one task and 2nd on another.
For context, the MICCAI conference is a premier event that attracts leading scientists – including biomedical scientists, engineers, and clinicians from a wide range of disciplines – dedicated to research in medical imaging and computer-assisted intervention.
NB :On the pictures , UBO-LATIM members Rachid Zeghlache, Gwenolé Quellec, and Mostafa El Habib Daho are actively engaged at the MICCAI conference. In the middle-right image, they’re joined by the distinguished Professor Emanuele Trucco, a pioneer in computational vision and medical image analysis. Visitors in the bottom-right are engrossed in discussions around the team’s presented posters, showcasing the significant impact of their research.