Our work titled “FunBench: Benchmarking Fundus Reading Skills of MLLMs” has been early accepted to the main track of MICCAI 2025. MICCAI is a leading international forum for research, education and practice in the field of medical image computing, machine learning in medical imaging, and computer assisted medical interventions.

  • Wei et al., FunBench: Benchmarking Fundus Reading Skills of MLLMs, MICCAI 2025.