Elfar Adalsteinsson
Massachusetts Institute of Technology
Professor
Department of Electrical Engineering and Computer Science
Research Area
#Computer science#Artificial intelligence#Magnetic resonance imaging#Medicine#Algorithm#Nuclear magnetic resonance#Mathematics#Computer vision#Specific absorption rate#Physics
SCIE paper information
Papers relevant to ‘Computer science’: 14
Research performance of SCIE papers matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Fast image reconstruction with L2-regularization.
2014/07 JOURNAL OF MAGNETIC RESONANCE IMAGING 3.21 Impact Factor 115 citations
Fast group matching for MR fingerprinting reconstruction.
2015/08 MAGNETIC RESONANCE IN MEDICINE 3.782 Impact Factor 96 citations
Papers for author ‘Elfar Adalsteinsson’: 41
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Quantitative oxygenation venography from MRI phase
2014/07 MAGNETIC RESONANCE IN MEDICINE 3.571 Impact Factor 153 citations
Fast quantitative susceptibility mapping with L1-regularization and automatic parameter selection.
2014/11 MAGNETIC RESONANCE IN MEDICINE 3.571 Impact Factor 120 citations
conference information
Papers relevant to ‘Computer science’: 4
Research performance of Top-tier Conference matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Temporal Registration in In-Utero Volumetric MRI Time Series.
2016/10 MICCAI Top-tier Conference 9 citations
Fetal Pose Estimation in Volumetric MRI using a 3D Convolution Neural Network.
2019/10 MICCAI Top-tier Conference 8 citations
Papers for author ‘Elfar Adalsteinsson’: 4
Number of published Top-tier Conference by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Temporal Registration in In-Utero Volumetric MRI Time Series.
2016/10 MICCAI Top-tier Conference 9 citations
Fetal Pose Estimation in Volumetric MRI using a 3D Convolution Neural Network.
2019/10 MICCAI Top-tier Conference 8 citations
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