Radiomics analysis

Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models
In this project, we investigate the State Space Models, especially Mamba. We use Masked Image Modeling pre-training strategy, and fintune the model for 3D radiomics analysis. We evaluate the model in terms of downstream classification task and its latent space interpretability.
Qingqiao Hu, Daoan Zhang, Jiebo Luo, Zhenyu Gong, Benedikt Wiestler, Jianguo Zhang, Hongwei Bran Li
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