Refik Mert Çam

EngineeringMedicine

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: “ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction”.

ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction

IEEE Transactions on Computational Imaging(2024)10.1109/tci.2024.3458397

N/A

0DataRank · unranked

5 citations

Refik Mert Çam, Mark D. Pagel, Mark A. Anastasio, Umberto Villa, Luke Lozenski

ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction

arXiv (Cornell University)(2024)10.48550/arxiv.2403.03860

N/A

0DataRank · unranked

0 citations

Refik Mert Çam, Pagel, Mark D., Mark A. Anastasio, Umberto Villa, Luke Lozenski

Learning a stable approximation of an existing but unknown inverse mapping: application to the half-time circular Radon transform

Inverse Problems(2024)10.1088/1361-6420/ad4f0a

N/A

0DataRank · unranked

0 citations

Umberto Villa, Mark A. Anastasio, Refik Mert Çam