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

Eyjólfur Gudmundsson

ORCID: 0000-0002-7389-4477

Medicine

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: “Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion”.

Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion

Journal of Medical Imaging(2020)10.1117/1.jmi.7.1.012705

N/A

0DataRank · unranked

23 citations

Christopher M. Straus, Feng Li, Samuel G. Armato, Eyjólfur Gudmundsson

Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)

PubMed(2023)10.48550/arxiv.2312.00223

N/A

0DataRank · unranked

1 citations

Eyjólfur Gudmundsson, Feng Li, Christopher M. Straus, Hedy L. Kindler, Arkadiusz Z. Dudek +5 more

Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01092-z

N/A

0DataRank · unranked

3 citations

Eyjólfur Gudmundsson, Feng Li, Christopher M. Straus, Hedy L. Kindler, Arkadiusz Z. Dudek +5 more