469 citations · 1.7k across the 28 of their papers we have counts for
8 papers · 1 filter
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting
Fabian Balsiger, Alain Jungo, Olivier Scheidegger +3
Magnetic resonance fingerprinting (MRF) provides a unique concept for simultaneous and fast acquisition of multiple quantitative MR parameters. Despite acquisition efficiency, adop…
Dual-Stream Pyramid Registration Network
Miao Kang, Xiaojun Hu, Weilin Huang +2
We propose a Dual-Stream Pyramid Registration Network (referred as Dual-PRNet) for unsupervised 3D medical image registration. Unlike recent CNN-based registration approaches, such…
Stratify or Inject: Two Simple Training Strategies to Improve Brain Tumor Segmentation
Raphael Meier, Michael Rebsamen, Urspeter Knecht +3
Deep learning methods for brain tumor segmentation are typically trained in an ad hoc fashion on all available data. Brain tumors are tremendously heterogeneous in image appearance…
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
Alain Jungo, Mauricio Reyes
Despite the recent improvements in overall accuracy, deep learning systems still exhibit low levels of robustness. Detecting possible failures is critical for a successful clinical…
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation
Fabian Balsiger, Yannick Soom, Olivier Scheidegger +1
Volumetric image segmentation with convolutional neural networks (CNNs) encounters several challenges, which are specific to medical images. Among these challenges are large volume…
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng +4
Training robust deep learning (DL) systems for disease detection from medical images is challenging due to limited images covering different disease types and severity. The problem…