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

, , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)

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