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08/04/2023
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction
MRI reconstruction techniques based on deep learning have led to unprece...
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07/23/2023
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?
While deep neural network models offer unmatched classification performa...
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03/08/2023
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images
Distribution shifts remain a fundamental problem for the safe applicatio...
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02/06/2023
Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples
Understanding the interactions of different cell types inside the immune...
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01/09/2023
Multiscale Metamorphic VAE for 3D Brain MRI Synthesis
Generative modeling of 3D brain MRIs presents difficulties in achieving ...
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08/05/2022
Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations
Deep Learning (DL) methods have shown promising results for solving ill-...
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09/30/2020
Sampling possible reconstructions of undersampled acquisitions in MR imaging
Undersampling the k-space during MR acquisitions saves time, however res...
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07/09/2020
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation
Supervised learning-based segmentation methods typically require a large...
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01/31/2020
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control
Tissue characterisation with CMR parametric mapping has the potential to...
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06/14/2019
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation
One of the key drawbacks of 3D convolutional neural networks for segment...
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06/07/2019
PHiSeg: Capturing Uncertainty in Medical Image Segmentation
Segmentation of anatomical structures and pathologies is inherently ambi...
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07/24/2018
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks
Accurate segmentation of medical images is an important step towards ana...
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07/12/2018
Learning to Segment Medical Images with Scribble-Supervision Alone
Semantic segmentation of medical images is a crucial step for the quanti...
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04/24/2018
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks
Measurement of head biometrics from fetal ultrasonography images is of k...
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11/30/2017
MR image reconstruction using the learned data distribution as prior
MR image reconstruction from undersampled data exploits priors to compen...
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11/24/2017
Visual Feature Attribution using Wasserstein GANs
Attributing the pixels of an input image to a certain category is an imp...
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09/13/2017
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation
Accurate segmentation of the heart is an important step towards evaluati...
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12/16/2016