Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers: 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers
... manual adjustment of the target segmentation is performed and, importantly ... signal, and checking the appearance of the flow curve for irregular ... solution for heart coverage estimation, inter-slice motion detection and image contrast ...
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
... Bayesian neural networks for uncertainty quantification . arXiv preprint arXiv : 2012.02818 ( 2020 ) 10. Gal , Y. , Ghahramani , Z .: Dropout as a Bayesian approximation : representing model uncertainty in deep learning . In ...
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
... absolute CE % 14.04 1.2 3.37 19 3.45 8.4 2.04 1.33 9.0 3.61 39.12 7.29 18.98 42.30 14.63 (6) Fig. 3. Calibration comparisons across different methods. SWPH. We point out that MC-dropout had extremely high variance. Stochastic Weight ...
Machine Learning for Medical Image Reconstruction: 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
... mlr. press/v121/cheng20a.html 4. Fabian, Z., Heckel, R., Soltanolkotabi, M.: Data augmentation for deep learning based accelerated MRI reconstruction with limited data. In: Meila, M., Zhang, T. (eds.) Proceedings of the 38th ...
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