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-# 🧼🔎 SelfClean
+# 🧼🔎 SelfClean 
 
-[**SelfClean Paper**](https://arxiv.org/abs/2305.17048) | [**Data Cleaning Protocol Paper**](https://arxiv.org/abs/2309.06961)
+[![Test and Coverage](https://github.com/Digital-Dermatology/SelfClean/actions/workflows/pytest-coverage.yml/badge.svg)](https://github.com/Digital-Dermatology/SelfClean/actions/workflows/pytest-coverage.yml)
 
 ![SelfClean Teaser](https://github.com/Digital-Dermatology/SelfClean/raw/main/assets/SelfClean_Teaser.png)
 
 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates, and label errors.
 
+**Publications:** [SelfClean Paper](https://arxiv.org/abs/2305.17048) | [Data Cleaning Protocol Paper (ML4H24@NeurIPS)](https://arxiv.org/abs/2309.06961)
+
 **NOTE:** Make sure to have `git-lfs` installed before pulling the repository to ensure the pre-trained models are pulled correctly ([git-lfs install instructions](https://docs.github.com/en/repositories/working-with-files/managing-large-files/installing-git-large-file-storage)).
 
 ## Installation