Research Output
Open science starts with open code. Every major paper from CIMILab is accompanied by a maintained repository, documented codebase, and public dataset.
Interpretable multi-architecture ensemble for ischemic stroke lesion segmentation on the ISLES benchmark.
Dual encoder representation network for spinal lesion detection and classification on VinDr-SpineXR.
Biomedical foundation model fine-tuning and evaluation suite for clinical NLP tasks.
A unified benchmarking suite for medical AI evaluation — standardized metrics, leaderboards, and reproducibility tooling.
Automated data versioning, preprocessing, and pipeline management for medical imaging research.
Inference server and model card toolkit for deploying CIMILab models in clinical and edge environments.