metadata
license: cc-by-nc-4.0
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Model weights
Weights are published on Hugging Face: TaipingQu/BAAI-Cardiac-Agent. Extract them under the project root as weights/, consistent with expert_weight_path in app.config.
- Agent: A LLaVA multimodal model (LLaMA backbone + vision encoder), fine-tuned for cardiac MRI. Files follow the Hugging Face layout under
weights/agent/. - Expert models: Task-specific PyTorch
.pthcheckpoints—multi-stage segmentation for Cine 2CH / 4CH / short-axis and LGE short-axis, plus CDS (cardiac disease screening) and NICMS (non-ischemic cardiomyopathy subtyping) classifiers in per-task subfolders underweights/.
Checkpoints and layout
| Subdirectory | Checkpoint | Model | Task |
|---|---|---|---|
/ |
(Hugging Face layout) | LLaVA | Multimodal agent |
cine_seg_first_2CH/ |
Cine_2CH_seg1.pth |
Segmentation stage 1 | Cine 2-chamber coarse |
cine_seg_second_2CH/ |
Cine_2CH_seg2.pth |
Segmentation stage 2 | Cine 2-chamber refined |
cine_seg_first_4CH/ |
Cine_4CH_seg1.pth |
Segmentation stage 1 | Cine 4-chamber coarse |
cine_seg_second_4CH_L/ |
Cine_4CH_seg2_L.pth |
Segmentation stage 2 (left) | Cine 4-chamber L refinement |
cine_seg_second_4CH_R/ |
Cine_4CH_seg2_R.pth |
Segmentation stage 2 (right) | Cine 4-chamber R refinement |
cine_seg_first_SA/ |
Cine_SAX_seg1.pth |
Segmentation stage 1 | Cine short-axis coarse |
cine_seg_second_SA/ |
Cine_SAX_seg2.pth |
Segmentation stage 2 | Cine short-axis refined |
lge_seg_first_SA/ |
LGE_SAX_seg1.pth |
Segmentation stage 1 | LGE short-axis coarse |
lge_seg_second_SA/ |
LGE_SAX_seg2.pth |
Segmentation stage 2 | LGE short-axis refined |
diagnosis_first/ |
CDS.pth |
Classification | Cardiac disease screening (CDS) |
diagnosis_second/ |
NICMS.pth |
Classification | NICMS subtyping |
Citation
If you find our work useful in your research or application, please consider citing our paper:
@misc{qu2026baaicardiacagentintelligent,
title={BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging},
author={Taiping Qu and Hongkai Zhang and Lantian Zhang and Can Zhao and Nan Zhang and Hui Wang and Zhen Zhou and Mingye Zou and Kairui Bo and Pengfei Zhao and Xingxing Jin and Zixian Su and Kun Jiang and Huan Liu and Yu Du and Maozhou Wang and Ruifang Yan and Zhongyuan Wang and Tiejun Huang and Lei Xu and Henggui Zhang},
year={2026},
eprint={2604.04078},
archivePrefix={arXiv},
primaryClass={eess.IV},
url={https://arxiv.org/abs/2604.04078},
}