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Prediction of CD3 T-cell infiltration status in colorectal liver metastases: a radiomics-based imaging biomarker.

, , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)

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Valeriy Vorontsov

Eugene Brand

Eugene Zhang

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Eugene Ha

 

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Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics., , , , , , и . NeurIPS, стр. 13591-13601. (2019)Boosting segmentation with weak supervision from image-to-image translation., , , , , , , и . CoRR, (2019)Managing Class Imbalance in Multi-Organ CT Segmentation in Head and Neck Cancer Patients., , и . ISBI, стр. 1360-1364. IEEE, (2021)M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision., , и . MICCAI (4), том 14223 из Lecture Notes in Computer Science, стр. 141-151. Springer, (2023)The Importance of Skip Connections in Biomedical Image Segmentation., , , , и . LABELS/DLMIA@MICCAI, том 10008 из Lecture Notes in Computer Science, стр. 179-187. (2016)Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models., , и . ABDI@MICCAI, том 8676 из Lecture Notes in Computer Science, стр. 74-83. Springer, (2014)Label Noise in Segmentation Networks: Mitigation Must Deal with Bias., и . DGM4MICCAI/DALI@MICCAI, том 13003 из Lecture Notes in Computer Science, стр. 251-258. Springer, (2021)Liver lesion segmentation informed by joint liver segmentation., , , и . ISBI, стр. 1332-1335. IEEE, (2018)On orthogonality and learning recurrent networks with long term dependencies., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 3570-3578. PMLR, (2017)The Medical Segmentation Decathlon., , , , , , , , , и 48 other автор(ы). CoRR, (2021)