🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Seyed Amir Hossein Hosseini

Ardabil University of Medical Sciences

ORCID: 0000-0002-0687-0782

MedicineEngineeringComputer Science

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 3 papers. Top paper: “Accelerated coronary MRI with sRAKI: A database-free self-consistent neural network k-space reconstruction for arbitrary undersampling”.

Accelerated coronary MRI with sRAKI: A database-free self-consistent neural network k-space reconstruction for arbitrary undersampling

PLoS ONE(2020)10.1371/journal.pone.0229418

N/A

0DataRank · unranked

43 citations

Chi Zhang, Sebastian Weingärtner, Steen Moeller, Matthias Stuber, Kâmil Uǧurbil +2 more

Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking

arXiv (Cornell University)(2021)10.1109/icassp39728.2021.9413495

N/A

0DataRank · unranked

3 citations

Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya, Burhaneddin Yaman

Multi‐mask self‐supervised learning for physics‐guided neural networks in highly accelerated magnetic resonance imaging

NMR in Biomedicine(2022)10.1002/nbm.4798

N/A

0DataRank · unranked

51 citations

Hongyi Gu, Seyed Amir Hossein Hosseini, Ömer Burak Demirel, Steen Moeller, Jutta Ellermann +3 more