261 citations
- University College LondonGB15 papers
- King's College LondonGB3 papers
- MRC Biostatistics UnitGB3 papers
- University of CambridgeGB3 papers
- University of IbadanNG3 papers
- Guy's and St Thomas' NHS Foundation TrustGB2 papers
- Hôpital Gui de ChauliacFR2 papers
- Institut Necker Enfants MaladesFR2 papers
- University of EdinburghGB2 papers
- Aarhus University HospitalDK1 paper
- Ain Shams University HospitalEG1 paper
- Assistance Publique – Hôpitaux de ParisFR1 paper
Showing 2019Show all
3 papers · 1 filter
physics.med-ph2019★ 19 cited
Validation and noise robustness assessment of microscopic anisotropy estimation with clinically feasible double diffusion encoding MRI
Leevi Kerkelä, Rafael Neto Henriques, Matt G. Hall +2
Purpose: Double diffusion encoding (DDE) MRI enables the estimation of microscopic diffusion anisotropy, yielding valuable information on tissue microstructure. A recent study prop…
eess.IV2019★ 2 cited
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator
Hongxiang Lin, Matteo Figini, Ryutaro Tanno +10
MR images scanned at low magnetic field (T) have lower resolution in the slice direction and lower contrast, due to a relatively small signal-to-noise ratio (SNR) than those fr…
cs.LG2019★ 261 cited
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use
Sana Tonekaboni, Shalmali Joshi, Melissa D McCradden +1
Translating machine learning (ML) models effectively to clinical practice requires establishing clinicians' trust. Explainability, or the ability of an ML model to justify its outc…