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04/11/2023
Unsupervised out-of-distribution detection for safer robotically-guided retinal microsurgery
Purpose: A fundamental problem in designing safe machine learning system...
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03/04/2021
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference
The MICCAI conference has encountered tremendous growth over the last ye...
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10/07/2020
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
Background and Objective: Deep learning enables tremendous progress in m...
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08/10/2020
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
Magnetic resonance fingerprinting (MRF) enables fast and multiparametric...
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11/09/2019
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting
Magnetic resonance fingerprinting (MRF) provides a unique concept for si...
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07/07/2019
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
Despite the recent improvements in overall accuracy, deep learning syste...
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11/12/2018
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction
Deep learning for regression tasks on medical imaging data has shown pro...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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06/08/2018
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation
Uncertainty estimates of modern neuronal networks provide additional inf...
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06/07/2018
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation
Uncertainty estimation methods are expected to improve the understanding...
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03/01/2017