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A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging.

, , , , , , , , , , , , , , , , , , , and . MLHC, volume 219 of Proceedings of Machine Learning Research, page 565-587. PMLR, (2023)

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