Amanda Paskavitz

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Deep complex convolutional network for fast reconstruction of 3D late gadolinium enhancement cardiac MRI”.

Deep complex convolutional network for fast reconstruction of 3D late gadolinium enhancement cardiac MRI

NMR in Biomedicine(2020)10.1002/nbm.4312

N/A

0DataRank · unranked

51 citations

Ulf Neisius, Jennifer Mâncio, Selçuk Küçükseymen, Jennifer Rodriguez, Amanda Paskavitz +3 more

Free‐breathing simultaneous myocardial T1 and T2 mapping with whole left ventricle coverage

Magnetic Resonance in Medicine(2020)10.1002/mrm.28506

N/A

0DataRank · unranked

30 citations

Xiaoying Cai, Selçuk Küçükseymen, Jennifer Rodriguez, Amanda Paskavitz, Patrick Pierce +4 more

Comparison of Complex k-Space Data and Magnitude-Only for Training of Deep Learning–Based Artifact Suppression for Real-Time Cine MRI

Frontiers in Physics(2021)10.3389/fphy.2021.684184

N/A

0DataRank · unranked

8 citations

Rui Guo, Selçuk Küçükseymen, Yankama Tuyen, Jennifer Rodriguez, Amanda Paskavitz +5 more

Quantification of changes in myocardial T1* values with exercise cardiac MRI using a free‐breathing non‐electrocardiograph radial imaging

Magnetic Resonance in Medicine(2022)10.1002/mrm.29346

N/A

0DataRank · unranked

5 citations

Haikun Qi, Amine Amyar, Xiaoying Cai, Selçuk Küçükseymen, Hassan Haji‐Valizadeh +7 more