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Update README with Taming paper, citations, and like request

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@@ -16,13 +16,17 @@ short_description: To run EchoTracker instantly on a custom or given videos.
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  **Advancing Myocardial Point Tracking in Echocardiography**
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  [![MICCAI 2024](https://img.shields.io/badge/MICCAI-2024-blue)](https://link.springer.com/chapter/10.1007/978-3-031-72083-3_60)
 
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  [![arXiv](https://img.shields.io/badge/arXiv-2405.08587-red)](https://arxiv.org/abs/2405.08587)
 
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  [![GitHub](https://img.shields.io/badge/GitHub-riponazad%2Fechotracker-black)](https://github.com/riponazad/echotracker)
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  [![Project Page](https://img.shields.io/badge/Project-Page-purple)](https://riponazad.github.io/echotracker/)
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  [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
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  EchoTracker is an interactive demo for tracking user-selected points on cardiac tissue across echocardiography video sequences. It was presented at **MICCAI 2024** and demonstrates strong generalisation across cardiac views and scanner types — including out-of-distribution settings not seen during training.
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  ---
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  ## Demo
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  ## Citation
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- If you use EchoTracker in your research, please cite:
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  ```bibtex
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  @InProceedings{azad2024echotracker,
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  publisher = {Springer Nature Switzerland},
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  doi = {10.1007/978-3-031-72083-3_60}
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  }
 
 
 
 
 
 
 
 
 
 
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  ```
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  ---
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  This project is licensed under the [MIT License](LICENSE).
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  > **Note:** The bundled example echocardiography clips are provided for demonstration purposes only and should not be downloaded, reproduced, or used outside this demo.
 
 
 
 
 
 
 
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  **Advancing Myocardial Point Tracking in Echocardiography**
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  [![MICCAI 2024](https://img.shields.io/badge/MICCAI-2024-blue)](https://link.springer.com/chapter/10.1007/978-3-031-72083-3_60)
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+ [![ICCV 2025 Workshop](https://img.shields.io/badge/ICCV%20Workshop-2025-blue)](https://openaccess.thecvf.com/content/ICCV2025W/CVAMD/papers/Azad_Taming_Modern_Point_Tracking_for_Speckle_Tracking_Echocardiography_via_Impartial_CVAMD_2025_paper.pdf)
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  [![arXiv](https://img.shields.io/badge/arXiv-2405.08587-red)](https://arxiv.org/abs/2405.08587)
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+ [![arXiv](https://img.shields.io/badge/arXiv-2507.10127-red)](https://arxiv.org/abs/2507.10127)
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  [![GitHub](https://img.shields.io/badge/GitHub-riponazad%2Fechotracker-black)](https://github.com/riponazad/echotracker)
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  [![Project Page](https://img.shields.io/badge/Project-Page-purple)](https://riponazad.github.io/echotracker/)
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  [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
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  EchoTracker is an interactive demo for tracking user-selected points on cardiac tissue across echocardiography video sequences. It was presented at **MICCAI 2024** and demonstrates strong generalisation across cardiac views and scanner types — including out-of-distribution settings not seen during training.
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+ The model weights used in this demo are from the follow-up work **"Taming Modern Point Tracking for Speckle Tracking Echocardiography via Impartial Motion"** (ICCV 2025 Workshop), which further advances robustness and accuracy for speckle tracking in echocardiography.
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+
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  ---
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  ## Demo
 
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  ## Citation
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+ If you use EchoTracker or the model weights in this demo, please cite both papers:
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  ```bibtex
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  @InProceedings{azad2024echotracker,
 
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  publisher = {Springer Nature Switzerland},
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  doi = {10.1007/978-3-031-72083-3_60}
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  }
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+
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+ @InProceedings{Azad_2025_ICCV,
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+ author = {Azad, Md Abulkalam and Nyberg, John and Dalen, H{\aa}vard
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+ and Grenne, Bj{\o}rnar and Lovstakken, Lasse and {\O}stvik, Andreas},
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+ title = {Taming Modern Point Tracking for Speckle Tracking Echocardiography via Impartial Motion},
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+ booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
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+ month = {October},
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+ year = {2025},
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+ pages = {1115--1124}
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+ }
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  ```
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  ---
 
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  This project is licensed under the [MIT License](LICENSE).
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  > **Note:** The bundled example echocardiography clips are provided for demonstration purposes only and should not be downloaded, reproduced, or used outside this demo.
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+
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+ ---
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+
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+ ## Support This Work
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+ If you find EchoTracker useful, please consider clicking the **Like** button at the top of this Space. It helps others discover this work and supports continued open research in cardiac image analysis.