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@@ -43,7 +43,7 @@ The model learns to capture both fine-grained anatomical semantics and global te
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  - Cardiac view classification
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  - Functional abnormality detection
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  - Video segmentation
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- - Representation learning for medical imaging
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  **Not for clinical or diagnostic use.**
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@@ -64,9 +64,9 @@ The model learns to capture both fine-grained anatomical semantics and global te
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  If you use DISCOVR in your work, please cite:
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  ```bibtex
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- @inproceedings{divakaran2025discovr,
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- title={Self-Supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation},
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- author={Divakaran, Vignesh and others},
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- booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
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  year={2025}
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  }
 
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  - Cardiac view classification
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  - Functional abnormality detection
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  - Video segmentation
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+ - Representation learning for medical imaging
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  **Not for clinical or diagnostic use.**
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  If you use DISCOVR in your work, please cite:
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  ```bibtex
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+ @article{mishra2025self,
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+ title={Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation},
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+ author={Mishra, Divyanshu and Salehi, Mohammadreza and Saha, Pramit and Patey, Olga and Papageorghiou, Aris T and Asano, Yuki M and Noble, J Alison},
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+ journal={arXiv preprint arXiv:2506.11777},
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  year={2025}
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  }