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Disambiguation of "Bertels, Jeroen"

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Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation.

, , , , and . ISBI, page 1052-1056. IEEE, (2021)

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Nina Bertels

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Other publications of authors with the same name

Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation., , , , and . ISBI, page 1052-1056. IEEE, (2021)Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging., , , , , , , , , and 30 other author(s). CoRR, (2020)Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index., , , , , , and . IEEE Trans. Medical Imaging, 39 (11): 3679-3690 (2020)Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients., , , , , , , , , and 12 other author(s). CoRR, (2020)Improving T1w MRI-based brain tumor segmentation using cross-modal distillation., , , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)The Dice loss in the context of missing or empty labels: Introducing Φ and ε., , , , and . CoRR, (2022)Optimization with Soft Dice Can Lead to a Volumetric Bias., , , and . BrainLes@MICCAI (1), volume 11992 of Lecture Notes in Computer Science, page 89-97. Springer, (2019)Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences., , , , , , , , and . IEEE Trans. Biomed. Eng., 69 (7): 2153-2164 (2022)Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice., , , , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 92-100. Springer, (2019)