480 citations · 1.3k across the 56 of their papers we have counts for
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Pathology Synthesis of 3D-Consistent Cardiac MR Images using 2D VAEs and GANs
Sina Amirrajab, Cristian Lorenz, Juergen Weese +2
We propose a method for synthesizing cardiac magnetic resonance (MR) images with plausible heart pathologies and realistic appearances for the purpose of generating labeled data fo…
sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs
Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz +3
There has been considerable interest in the MR physics-based simulation of a database of virtual cardiac MR images for the development of deep-learning analysis networks. However,…
Generalized Probabilistic U-Net for medical image segementation
Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf
We propose the Generalized Probabilistic U-Net, which extends the Probabilistic U-Net by allowing more general forms of the Gaussian distribution as the latent space distribution t…
PROMISSING: Pruning Missing Values in Neural Networks
Seyed Mostafa Kia, Nastaran Mohammadian Rad, Daniel van Opstal +5
While data are the primary fuel for machine learning models, they often suffer from missing values, especially when collected in real-world scenarios. However, many off-the-shelf m…
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection
Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever +1
Deep learning techniques show success in detecting objects in medical images, but still suffer from false-positive predictions that may hinder accurate diagnosis. The estimated unc…