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Link arXiv paper 2610.40094

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@@ -24,7 +24,7 @@ scan.
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  - **Code:** <https://github.com/Oncosoft-Research/RepConTUR>
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  - **Data:** <https://huggingface.co/datasets/Oncosoft-Research/RepConTUR>
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- - **Paper:** RepConTUR: A Report-Conditioned Volumetric Multimodal Model for Abdominal Tumor Segmentation (link coming soon)
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  ## Model
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@@ -147,6 +147,7 @@ non-commercial use only, and adaptations under the same license.
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  @article{lee2026repcontur,
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  title = {RepConTUR: A Report-Conditioned Volumetric Multimodal Model for Abdominal Tumor Segmentation},
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  author = {Lee, Seunghwan and Park, Sangjoon and Lee, Jongmin and Kim, Yoon Jo and Cho, Wonyoung and Kim, Jin Sung and Chae, Han Joo},
 
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  year = {2026}
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  }
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  ```
 
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  - **Code:** <https://github.com/Oncosoft-Research/RepConTUR>
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  - **Data:** <https://huggingface.co/datasets/Oncosoft-Research/RepConTUR>
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+ - **Paper:** <https://arxiv.org/abs/2610.40094>
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  ## Model
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  @article{lee2026repcontur,
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  title = {RepConTUR: A Report-Conditioned Volumetric Multimodal Model for Abdominal Tumor Segmentation},
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  author = {Lee, Seunghwan and Park, Sangjoon and Lee, Jongmin and Kim, Yoon Jo and Cho, Wonyoung and Kim, Jin Sung and Chae, Han Joo},
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+ journal = {arXiv preprint arXiv:2610.40094},
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  year = {2026}
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  }
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  ```