Our paper received an award at EMA4MICCAI 2026 Workshop
Our paper received the Best Paper Award at the 2nd MICCAI Workshop on Efficient Medical Artificial Intelligence (EMA4MICCAI 2026 Workshop), held in Strasbourg, France, on October 1, 2026.
This research was conducted by our doctoral student, Mustain Billah. Congratulations!
Research Title: Mustain Billa (D3), Wahyu Rahmaniar, Jin Ze, Kenji Suzuki: MLSFP-CL: Label- and Compute-Efficient Contrastive Learning for Lung Nodule Classification in Small-Data Settings
Research: This study combines efficient learning with the small-data AI model developed by Suzuki Laboratory, demonstrating that an extremely lightweight AI model can outperform much larger models in lung nodule classification, even when trained with very limited medical imaging data.
