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Radiomics and Radiogenomics with Deep Learning in Neuro-oncology., , , and . MLCN/RNO-AI@MICCAI, volume 12449 of Lecture Notes in Computer Science, page 199-211. Springer, (2020)The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions., , , , , , , , , and 2 other author(s). CoRR, (2020)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)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)Towards Trainable Saliency Maps in Medical Imaging., , , , , , , , , and 2 other author(s). CoRR, (2020)Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion., , , , , , , , , and 8 other author(s). AIPAD/PILM@MICCAI, volume 15197 of Lecture Notes in Computer Science, page 57-72. Springer, (2024)