176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Marquette UniversityUS6 papers
- Indiana University School of Medicine3 papers
- Queen Mary University of LondonGB3 papers
- The University of SydneyAU3 papers
- University Hospital BonnDE3 papers
- University of MichiganUS3 papers
- University of TorontoCA3 papers
- Aichi Medical UniversityJP2 papers
- Artificial Intelligence in Medicine (Canada)CA2 papers
- Baylor College of MedicineUS2 papers
- Bostwick LaboratoriesUS2 papers
- Cleveland ClinicUS2 papers
3 papers · 2 filters
Meta-QSM: An Image-Resolution-Arbitrary Network for QSM Reconstruction
Juan Liu, Kevin M. Koch
Quantitative Susceptibility Mapping (QSM) can estimate the underlying tissue magnetic susceptibility and reveal pathology. Current deep-learning-based approaches to solve the QSM i…
Quantitative Susceptibility Inversion Through Parcellated Multiresolution Neural Networks and K-Space Substitution
Juan Liu, Andrew S. Nencka, L. Tugan Muftuler +3
Purpose: Quantitative Susceptibility Mapping (QSM) reconstruction is a challenging inverse problem driven by poor conditioning of the field to susceptibility transformation. State-…
Build-A-FLAIR: Synthetic T2-FLAIR Contrast Generation through Physics Informed Deep Learning
Andrew S. Nencka, Andrew Klein, Kevin M. Koch +7
Purpose: Magnetic resonance imaging (MRI) exams include multiple series with varying contrast and redundant information. For instance, T2-FLAIR contrast is based upon tissue T2 dec…