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  license: mit
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  ---
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- # MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities
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  This repository contains the pre-trained checkpoints of MRGen: https://arxiv.org/abs/2412.04106/.
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  ## Some Information
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- [Project Page](https://haoningwu3639.github.io/MRGen/) $\cdot$ [Paper](https://arxiv.org/abs/2412.04106/) $\cdot$ [Dataset](https://huggingface.co/datasets/haoningwu/MedGen-1M) $\cdot$ [Checkpoints](https://huggingface.co/haoningwu/MRGen)
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  ## Checkpoints - Model Zoo
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  Please refer to [MRGen](https://huggingface.co/haoningwu/MRGen) to download our pre-trained checkpoints.
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  | CHAOS-MRI_T2-SPIR | LiQA_T1 | [CHAOS-MRI_T2_to_LiQA_T1](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_CHAOS-MRI_T2_to_LiQA_T1) |
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  | MSD-Prostate_ADC | PROMISE12_T2 | [MSDProstate_ADC_to_PROMISE12_T2](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_MSDProstate_ADC_to_PROMISE12_T2) |
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  | PROMISE12_T2 | MSD-Prostate_ADC | [PROMISE12_T2_to_MSDProstate_ADC](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_PROMISE12_T2_to_MSDProstate_ADC) |
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- | AMOS22_CT | CHAOS-MRI_T1 | [AMOS22_CT_to_CHAOS-MRI_T2](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_AMOS22_CT_to_CHAOS-MRI_T2) |
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- | AMOS22_CT | CHAOS-MRI_T2-SPIR | [AMOS22_CT_to_CHAOS-MRI_T1](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_AMOS22_CT_to_CHAOS-MRI_T1) |
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- | MSD-Liver_CT | CHAOS-MRI_T2-SPIR | [MSDLiver_CT_to_CHAOS-MRI_T2](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_MSDLiver_CT_to_CHAOS-MRI_T2) |
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  ### Segmentation Model Checkpoints
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  To be updated soon...
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  @misc{wu2024mrgen,
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  author = {Wu, Haoning and Zhao, Ziheng and Zhang, Ya and Xie, Weidi and Wang, Yanfeng},
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- title = {MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities},
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  journal = {arXiv preprint arXiv:2412.04106},
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  year = {2024},
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  }
 
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  license: mit
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  ---
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+ # MRGen: Segmentation Data Engine for Underrepresented MRI Modalities
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  This repository contains the pre-trained checkpoints of MRGen: https://arxiv.org/abs/2412.04106/.
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  ## Some Information
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+ [Project Page](https://haoningwu3639.github.io/MRGen/) $\cdot$ [Paper](https://arxiv.org/abs/2412.04106/) $\cdot$ [Dataset](https://huggingface.co/datasets/haoningwu/MRGen-DB) $\cdot$ [Checkpoints](https://huggingface.co/haoningwu/MRGen)
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  ## Checkpoints - Model Zoo
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  Please refer to [MRGen](https://huggingface.co/haoningwu/MRGen) to download our pre-trained checkpoints.
 
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  | CHAOS-MRI_T2-SPIR | LiQA_T1 | [CHAOS-MRI_T2_to_LiQA_T1](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_CHAOS-MRI_T2_to_LiQA_T1) |
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  | MSD-Prostate_ADC | PROMISE12_T2 | [MSDProstate_ADC_to_PROMISE12_T2](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_MSDProstate_ADC_to_PROMISE12_T2) |
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  | PROMISE12_T2 | MSD-Prostate_ADC | [PROMISE12_T2_to_MSDProstate_ADC](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_PROMISE12_T2_to_MSDProstate_ADC) |
 
 
 
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  ### Segmentation Model Checkpoints
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  To be updated soon...
 
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  @misc{wu2024mrgen,
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  author = {Wu, Haoning and Zhao, Ziheng and Zhang, Ya and Xie, Weidi and Wang, Yanfeng},
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+ title = {MRGen: Segmentation Data Engine for Underrepresented MRI Modalities},
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  journal = {arXiv preprint arXiv:2412.04106},
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  year = {2024},
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  }