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Update app.py
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app.py
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@@ -315,12 +315,12 @@ with gr.Blocks() as demo:
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gr.Markdown("""
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**We welcome any feedback at francesco.larosa@mssm.edu. If you find this tool useful, please consider citing:**
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1. A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation
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Dereskewicz, E., La Rosa, F., dos Santos Silva, J., Sizer, E., Kohli, A., Wynen, M., ... & Beck, E. S.
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*Journal of Neuroimaging* 35.5 (2025): e70085
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DOI: [10.1111/jon.70085](https://doi.org/10.1111/jon.70085)
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2. nnU-Net: A Self-Configuring Method for Deep Learning-Based Biomedical Image Segmentation
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F. Isensee, P. F. Jaeger, S. A. Kohl, J. Petersen, & K. H. Maier-Hein.
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*Nature Methods.* 2021;18(2):203-211.
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DOI: [10.1038/s41592-020-01008-z](https://www.nature.com/articles/s41592-020-01008-z)
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gr.Markdown("""
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**We welcome any feedback at francesco.larosa@mssm.edu. If you find this tool useful, please consider citing:**
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| 317 |
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+
1. A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation <br>
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Dereskewicz, E., La Rosa, F., dos Santos Silva, J., Sizer, E., Kohli, A., Wynen, M., ... & Beck, E. S.
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*Journal of Neuroimaging* 35.5 (2025): e70085
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| 321 |
DOI: [10.1111/jon.70085](https://doi.org/10.1111/jon.70085)
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| 322 |
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| 323 |
+
2. nnU-Net: A Self-Configuring Method for Deep Learning-Based Biomedical Image Segmentation <br>
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| 324 |
F. Isensee, P. F. Jaeger, S. A. Kohl, J. Petersen, & K. H. Maier-Hein.
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| 325 |
*Nature Methods.* 2021;18(2):203-211.
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| 326 |
DOI: [10.1038/s41592-020-01008-z](https://www.nature.com/articles/s41592-020-01008-z)
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