update readme

README.md

@@ -10,32 +10,3 @@ app_file: app.py
 pinned: false
 license: mit
 ---
-
-This is the official demo for the paper "Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis" (https://arxiv.org/pdf/2303.13391.pdf), which was accepted for publication at MICCAI 2023. 
-
-We propose a new way of explainability for zero-shot diagnosis prediction in the clinical domain. Instead of directly predicting a diagnosis, we prompt the model to classify the existence of descriptive observations, which a radiologist would look for on an X-Ray scan, and use the descriptor probabilities to estimate the likelihood of a diagnosis, making our model explainable by design. For this we leverage BioVil, a pretrained CLIP model for X-rays and apply contrastive observation-based prompting. We evaluate Xplainer on two chest X-ray
-datasets, CheXpert and ChestX-ray14, and demonstrate its effectiveness
-in improving the performance and explainability of zero-shot diagnosis.
-**Authors**: [Chantal Pellegrini][cp], [Matthias Keicher][mk], [Ege Özsoy][eo], [Petra Jiraskova][pj], [Rickmer Braren][rb], [Nassir Navab][nn]
-
-[cp]:https://www.cs.cit.tum.de/camp/members/chantal-pellegrini/
-[eo]:https://www.cs.cit.tum.de/camp/members/ege-oezsoy/
-[mk]:https://www.cs.cit.tum.de/camp/members/matthias-keicher/
-[pj]:https://campus.tum.de/tumonline/ee/ui/ca2/app/desktop/#/pl/ui/$ctx/visitenkarte.show_vcard?$ctx=design=ca2;header=max;lang=de&pPersonenGruppe=3&pPersonenId=46F3A857F258DEE6
-[rb]:https://radiologie.mri.tum.de/de/person/prof-dr-rickmer-f-braren
-[nn]:https://www.cs.cit.tum.de/camp/members/cv-nassir-navab/nassir-navab/
-
-Github: https://github.com/ChantalMP/Xplainer/tree/master
-
-```
-@inproceedings{pellegrini2023xplainer,
-    title={Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis},
-    author={Pellegrini, Chantal and Keicher, Matthias and Özsoy, Ege and Jiraskova, Petra and Braren, Rickmer and Navab, Nassir},
-    booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
-    year={2023},
-    organization={Springer}
-}
-```
-
-### Intended Use
-This model is intended to be used solely for (I) future research on visual-language processing and (II) reproducibility of the experimental results reported in the reference paper.