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Disambiguation of "Piechnik, Stefan K."

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Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.

, , , , , , and . CoRR, (2020)

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Michael Piechnik

Aman K K Bhasin

K Schweizerhof

K Schaber

K Beheng

 

Other publications of authors with the same name

Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI., , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 481-489. Springer, (2018)Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation., , , , , , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 413-423. Springer, (2021)Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image., , , , , , and . MLMIR@MICCAI, volume 11074 of Lecture Notes in Computer Science, page 55-63. Springer, (2018)Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach., , , , , , and . Medical Image Anal., (2020)Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study., , , , , , and . IEEE Trans. Biomed. Eng., 70 (6): 1955-1966 (June 2023)Towards the Creation of the Cardiovascular Magnetic Resonance Quality Assessment Ontology (CMR-QA)., , , , , , , , , and 1 other author(s). SWAT4LS, volume 1795 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata., , , , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 586-594. Springer, (2019)Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences., , , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 472-480. Springer, (2018)Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study., , , , , , and . CoRR, (2020)Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets., , , , , and . MIUA, volume 12722 of Lecture Notes in Computer Science, page 280-293. Springer, (2021)