Update `README`
Browse files
README.md
CHANGED
|
@@ -12,20 +12,19 @@ tags:
|
|
| 12 |
---
|
| 13 |
# PRLx-GAN
|
| 14 |
Repository for [_Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis_](https://openreview.net/forum?id=wFkiqB5spT&referrer=%5Bthe%20profile%20of%20Alexandra%20Grace%20Roberts%5D(%2Fprofile%3Fid%3D~Alexandra_Grace_Roberts1)) published in [Synthetic Data](https://syndata4cv.github.io/) at [CVPR 2025](https://cvpr.thecvf.com/).
|
|
|
|
| 15 |
## Summary
|
| 16 |
-
Paramagnetic rim lesions (PRLs) are a rare but highly prognostic lesion subtype in multiple sclerosis, visible only on susceptibility ($\chi$) contrasts. This work presents a generative framework to: <br/>
|
| 17 |
* Synthesize new rim lesion maps that address class imbalance in training data <br/>
|
| 18 |
* Enable a novel denoising method to resolve radiologist disagreements on noisy labels, "ambiguous rim lesions". <br/>
|
| 19 |
|
| 20 |
-
<br/>
|
| 21 |
-
<br/>
|
| 22 |
|
| 23 |
<div style="width:50%; margin: auto;">
|
| 24 |
|
| 25 |

|
| 26 |
<i>Latent projection iterations to identify the denoised rim lesion from a "noisy" rim lesion.</i>
|
| 27 |
</div>
|
| 28 |
-
|
| 29 |
|
| 30 |
## Contents
|
| 31 |
Uncurated synthetic rim lesion susceptibilities can be found in [`png`](https://github.com/agr78/PRLx-GAN/tree/main/png) <br/>
|
|
@@ -57,3 +56,26 @@ Wait...then check the generated and denoised outputs
|
|
| 57 |
```
|
| 58 |
cd ./out
|
| 59 |
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
---
|
| 13 |
# PRLx-GAN
|
| 14 |
Repository for [_Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis_](https://openreview.net/forum?id=wFkiqB5spT&referrer=%5Bthe%20profile%20of%20Alexandra%20Grace%20Roberts%5D(%2Fprofile%3Fid%3D~Alexandra_Grace_Roberts1)) published in [Synthetic Data](https://syndata4cv.github.io/) at [CVPR 2025](https://cvpr.thecvf.com/).
|
| 15 |
+
|
| 16 |
## Summary
|
| 17 |
+
Paramagnetic rim lesions (PRLs) are a rare but highly prognostic lesion subtype in multiple sclerosis, visible only on susceptibility ($\chi$) contrasts. [This work](https://huggingface.co/papers/2505.23353) presents a generative framework to: <br/>
|
| 18 |
* Synthesize new rim lesion maps that address class imbalance in training data <br/>
|
| 19 |
* Enable a novel denoising method to resolve radiologist disagreements on noisy labels, "ambiguous rim lesions". <br/>
|
| 20 |
|
|
|
|
|
|
|
| 21 |
|
| 22 |
<div style="width:50%; margin: auto;">
|
| 23 |
|
| 24 |

|
| 25 |
<i>Latent projection iterations to identify the denoised rim lesion from a "noisy" rim lesion.</i>
|
| 26 |
</div>
|
| 27 |
+
|
| 28 |
|
| 29 |
## Contents
|
| 30 |
Uncurated synthetic rim lesion susceptibilities can be found in [`png`](https://github.com/agr78/PRLx-GAN/tree/main/png) <br/>
|
|
|
|
| 56 |
```
|
| 57 |
cd ./out
|
| 58 |
```
|
| 59 |
+
|
| 60 |
+
## Publications
|
| 61 |
+
If this code is used, please cite the following:
|
| 62 |
+
> [Conference Paper](https://openreview.net/forum?id=wFkiqB5spT¬eId=wFkiqB5spT): A. G. Roberts et al., "Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis," Synthetic Data for Computer Vision at CVPR, 2025.
|
| 63 |
+
>
|
| 64 |
+
|
| 65 |
+
## BibTex
|
| 66 |
+
```bibtex
|
| 67 |
+
@inproceedings{
|
| 68 |
+
roberts2025synthetic,
|
| 69 |
+
title={Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis},
|
| 70 |
+
author={Alexandra Grace Roberts and Ha Manh Luu and Mert Sisman and Alexey V. Dimov and Ceren Tozlu and Ilhami Kovanlikaya and Susan Gauthier and Thanh D. Nguyen and Yi Wang},
|
| 71 |
+
booktitle={Synthetic Data for Computer Vision Workshop @ CVPR 2025},
|
| 72 |
+
year={2025},
|
| 73 |
+
url={https://openreview.net/forum?id=wFkiqB5spT}
|
| 74 |
+
}
|
| 75 |
+
```
|
| 76 |
+
|
| 77 |
+
## Acknowledgements
|
| 78 |
+
This method relies on the [StyleGAN2-ADA](https://github.com/NVlabs/stylegan2-ada-pytorch) architecture developed by [`@tkarras`](https://github.com/tkarras).
|
| 79 |
+
## Contact
|
| 80 |
+
Please direct questions to [Alexandra Roberts](https://github.com/agr78) at agr78@cornell.edu.
|
| 81 |
+
|