File size: 3,053 Bytes
4ada69b
 
 
 
8c09d31
4ada69b
 
 
8c09d31
4ada69b
 
 
 
 
 
 
05c5e2e
 
 
 
 
 
 
 
 
 
 
4ada69b
 
 
 
 
 
 
 
 
8c09d31
4ada69b
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
---
license: mit
---

# MRGen: Segmentation Data Engine for Underrepresented MRI Modalities
This repository contains the pre-trained checkpoints of MRGen: https://arxiv.org/abs/2412.04106/.

## Some Information
[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)

## Checkpoints - Model Zoo
Please refer to [MRGen](https://huggingface.co/haoningwu/MRGen) to download our pre-trained checkpoints.

### Generative Model Checkpoints

| Source Modality | Target Modality | Link |
|:-----------------:|:-----------------:|:------:|
| CHAOS-MRI_T1 | CHAOS-MRI_T2-SPIR | [CHAOS-MRI_T1_to_CHAOS-MRI_T2](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_CHAOS-MRI_T1_to_CHAOS-MRI_T2) |
| CHAOS-MRI_T2-SPIR | CHAOS-MRI_T1 | [CHAOS-MRI_T2_to_CHAOS-MRI_T1](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_CHAOS-MRI_T2_to_CHAOS-MRI_T1) |
| MSD-Prostate_T2 | MSD-Prostate_ADC | [MSDProstate_T2_to_MSDProstate_ADC](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_MSDProstate_T2_to_MSDProstate_ADC) |
| MSD-Prostate_ADC | MSD-Prostate_T2 | [MSDProstate_ADC_to_MSDProstate_T2](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_MSDProstate_ADC_to_MSDProstate_T2) |
| PanSeg_T1 | PanSeg_T2 | [PanSeg_T1_to_PanSeg_T2](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_PanSeg_T1_to_PanSeg_T2) |
| PanSeg_T2 | PanSeg_T1 | [PanSeg_T2_to_PanSeg_T1](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_PanSeg_T2_to_PanSeg_T1) |
| LiQA_T1 | CHAOS-MRI_T2-SPIR | [LiQA_T1_to_CHAOS-MRI_T2](https://huggingface.co/haoningwu/MRGen/tree/main/controlnet_model_zoo/controlnet_LiQA_T1_to_CHAOS-MRI_T2) |
| 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) |
| 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) |
| 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) |

### Segmentation Model Checkpoints
To be updated soon...

## Citation
If you use this code and data for your research or project, please cite:

	@misc{wu2024mrgen,
            author  = {Wu, Haoning and Zhao, Ziheng and Zhang, Ya and Xie, Weidi and Wang, Yanfeng},
            title   = {MRGen: Segmentation Data Engine for Underrepresented MRI Modalities},
            journal = {arXiv preprint arXiv:2412.04106},
            year    = {2024},
      }

## Contact
If you have any questions, please feel free to contact [email protected] or Zhao[email protected].