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Disambiguation of "Bertels, Jeroen"

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On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation.

, , , , and . MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 678-688. Springer, (2021)

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Nina Bertels

Victoria Bertels

Andreas Bertels

Eberhard Bertels

Johannes Bertels

 

Other publications of authors with the same name

Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty., , , and . Medical Image Anal., (2021)Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging., , , , , , , , , and 30 other author(s). CoRR, (2020)Convolutional neural networks for medical image segmentation., , , and . CoRR, (2022)Final infarct prediction in acute ischemic stroke., , , and . CoRR, (2022)Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation., , , , and . ISBI, page 1052-1056. IEEE, (2021)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)Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences., , , , , , , , and . IEEE Trans. Biomed. Eng., 69 (7): 2153-2164 (2022)The Dice Loss in the Context of Missing or Empty Labels: Introducing $\varPhi $ and ε., , , , and . MICCAI (5), volume 13435 of Lecture Notes in Computer Science, page 527-537. Springer, (2022)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)On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation., , , , and . MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 678-688. Springer, (2021)