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Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation., , , , , , , и . CoRR, (2017)Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases., , , , , , , , , и 4 other автор(ы). CaPTion@MICCAI, том 15199 из Lecture Notes in Computer Science, стр. 37-47. Springer, (2024)Upsampling dynamic contrast enhanced MRI., , , и . ISBI, стр. 1032-1035. IEEE, (2015)Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks., , , , , , , , , и 1 other автор(ы). BrainLes@MICCAI (2), том 12659 из Lecture Notes in Computer Science, стр. 228-240. Springer, (2020)A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging., , , , , , , , , и 10 other автор(ы). MLHC, том 219 из Proceedings of Machine Learning Research, стр. 565-587. PMLR, (2023)Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology., , , , , , , , , и 1 other автор(ы). CoRR, (2024)Is this good enough? On expert perception of brain tumor segmentation quality., , , , , , , , , и 6 other автор(ы). Image Perception, Observer Performance, and Technology Assessment, том 12035 из SPIE Proceedings, SPIE, (2022)Sequential neural networks for biologically-informed glioma segmentation., , , , , и . Image Processing, том 10574 из SPIE Proceedings, стр. 1057433. SPIE, (2018)