Rodrigo de Barros Vimieiro

Institute of Mathematics and Computer Science

MedicineComputer ScienceEngineering

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 2 papers. Top paper: “Model-based deep learning to restore low-dose digital breast tomosynthesis images”.

Model-based deep learning to restore low-dose digital breast tomosynthesis images

LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)(2023)10.11606/t.18.2023.tde-03012024-114253

N/A

0DataRank · unranked

2 citations

Rodrigo de Barros Vimieiro

Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography

Artificial Intelligence in Medicine(2023)10.1016/j.artmed.2023.102555

N/A

0DataRank · unranked

0 citations

Rodrigo de Barros Vimieiro, Lucas R. Borges, Marcelo A. C. Vieira, Ge Wang, Hongming Shan