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Rita Iglesias
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_posts/2022-5-18-testing-for-push.md

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[1] Davison, Beth A., Stephen A. Harrison, Gad Cotter, Naim Alkhouri, Arun Sanyal, Christopher Edwards, Jerry R. Colca, Julie Iwashita, Gary G. Koch, and Howard C. Dittrich. 2020. “Suboptimal Reliability of Liver Biopsy Evaluation Has Implications for Randomized Clinical Trials.” Journal of Hepatology 73 (6): 1322–32.
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[2] Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study, [https://www.bmj.com/content/357/bmj.j2813.full]
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[2] Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study, [https://www.bmj.com/content/357/bmj.j2813.full](https://www.bmj.com/content/357/bmj.j2813.full)
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[3] [https://openaccess.thecvf.com/content/CVPR2022W/CVMI/papers/Dwivedi_Multi_Stain_Graph_Fusion_for_Multimodal_Integration_in_Pathology_CVPRW_2022_paper.pdf]
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[3] [https://openaccess.thecvf.com/content/CVPR2022W/CVMI/papers/Dwivedi*Multi_Stain_Graph_Fusion_for* Multimodal_Integration_in_Pathology_CVPRW_2022_paper.pdf](https://openaccess.thecvf.com/content/CVPR2022W/CVMI/papers/Dwivedi_Multi_Stain_Graph_Fusion_for_Multimodal_Integration_in_Pathology_CVPRW_2022_paper.pdf)
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[4] Ciyue Shen, Collin Schlager, Deepta Rajan, Maryam Pouryahya, Mary Lin, Victoria Mountain, Ilan Wapinski, Amaro Taylor-Weiner, Benjamin Glass, Robert Egger, Andrew Beck. Application of an interpretable graph neural network to predict gene expression signatures associated with tertiary lymphoid structures in histopathological images [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research; 2022 Apr 8–13; New Orleans, LA. Philadelphia (PA): AACR; 2022. Abstract nr 1922.
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[5] [https://proceedings.mlr.press/v156/jaume21a/jaume21a.pdf]
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[5] [https://proceedings.mlr.press/v156/jaume21a/jaume21a.pdf](https://proceedings.mlr.press/v156/jaume21a/jaume21a.pdf)
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[6] [https://openaccess.thecvf.com/content_CVPRW_2020/papers/w16/Lu_Capturing_Cellular_Topology_in_Multi-Gigapixel_Pathology_Images_CVPRW_2020_paper.pdf]
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[6] [https://openaccess.thecvf.com/content_CVPRW_2020/papers/w16/Lu_Capturing_Cellular_Topology_in_Multi-Gigapixel_Pathology_Images_CVPRW_2020_paper.pdf](https://openaccess.thecvf.com/content_CVPRW_2020/papers/w16/Lu_Capturing_Cellular_Topology_in_Multi-Gigapixel_Pathology_Images_CVPRW_2020_paper.pdf)
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[7] Javed, S. A., Juyal, D., Padigela, H., Taylor-Weiner, A., Yu, L., & Prakash, A. (2022). Additive MIL: Intrinsic Interpretability for Pathology. arXiv preprint arXiv:2206.01794.
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[https://www.bmj.com/content/357/bmj.j2813.full]: https://www.bmj.com/content/357/bmj.j2813.full
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[https://openaccess.thecvf.com/content/CVPR2022W/CVMI/papers/Dwivedi_Multi_Stain_Graph_Fusion_for_Multimodal_Integration_in_Pathology_CVPRW_2022_paper.pdf]: https://openaccess.thecvf.com/content/CVPR2022W/CVMI/papers/Dwivedi_Multi_Stain_Graph_Fusion_for_Multimodal_Integration_in_Pathology_CVPRW_2022_paper.pdf]
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[https://www.bmj.com/content/357/bmj.j2813.full]: https://www.bmj.com/content/357/bmj.j2813.full
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[https://proceedings.mlr.press/v156/jaume21a/jaume21a.pdf]: https://proceedings.mlr.press/v156/jaume21a/jaume21a.pdf
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[https://openaccess.thecvf.com/content_cvprw_2020/papers/w16/lu_capturing_cellular_topology_in_multi-gigapixel_pathology_images_cvprw_2020_paper.pdf]: https://openaccess.thecvf.com/content_CVPRW_2020/papers/w16/Lu_Capturing_Cellular_Topology_in_Multi-Gigapixel_Pathology_Images_CVPRW_2020_paper.pdf

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