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Disambiguation of "Hoebel, Katharina"

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Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks.

, , , , , , , , , , and . BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 228-240. Springer, (2020)

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Heinrich Hoebel

Hermann Hoebel

Heinrich Hoebel

Heinrich Hoebel

Heinrich Hoebel

 

Other publications of authors with the same name

Improving the repeatability of deep learning models with Monte Carlo dropout., , , , , , , , , and . npj Digit. Medicine, (2022)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)Is this good enough? On expert perception of brain tumor segmentation quality., , , , , , , , , and 6 other author(s). Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions., , , , , , , , , and 2 other author(s). CoRR, (2020)An exploration of uncertainty information for segmentation quality assessment., , , , , , , and . Image Processing, volume 11313 of SPIE Proceedings, page 113131K. SPIE, (2020)Do I know this? segmentation uncertainty under domain shift., , , , , , and . Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)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)Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology., , , , , , , , , and 1 other author(s). CoRR, (2024)Federated Learning for Breast Density Classification: A Real-World Implementation., , , , , , , , , and 33 other author(s). DART/DCL@MICCAI, volume 12444 of Lecture Notes in Computer Science, page 181-191. Springer, (2020)