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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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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)Towards Trainable Saliency Maps in Medical Imaging., , , , , , , , , 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)Addressing catastrophic forgetting for medical domain expansion., , , , , , , , , and 6 other author(s). CoRR, (2021)Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging., , , , , , , , , and 3 other author(s). CoRR, (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)The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions., , , , , , , , , and 2 other author(s). CoRR, (2020)Assessing the validity of saliency maps for abnormality localization in medical imaging., , , , , , , and . CoRR, (2020)QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results., , , , , , , , , and 82 other author(s). CoRR, (2021)