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Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction.

, , , , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 429-440. Springer, (2018)

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Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting., , , , , and . Medical Image Anal., (2020)Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction., , , , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 429-440. Springer, (2018)Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 18 (6): 1085-1091 (2023)The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference., , , , , , , , , and 5 other author(s). CoRR, (2021)Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation., , , , and . CoRR, (2018)Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting., , , , , and . CoRR, (2019)Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation., and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 48-56. Springer, (2019)pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis., , , and . Comput. Methods Programs Biomed., (2021)Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks., , , , and . MLMIR@MICCAI, volume 12450 of Lecture Notes in Computer Science, page 60-69. Springer, (2020)Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation., , , and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 169-177. Springer, (2017)