Marie Metz

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: “Federated learning enables big data for rare cancer boundary detection”.

Federated learning enables big data for rare cancer boundary detection

Nature Communications(2022)10.1038/s41467-022-33407-5

N/A

0DataRank · unranked

352 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih‐Han Wang, G. Anthony Reina +95 more

Author Correction: Federated learning enables big data for rare cancer boundary detection

Nature Communications(2023)10.1038/s41467-023-36188-7

N/A

0DataRank · unranked

5 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-han Wang, G. Anthony Reina +95 more

LST-AI: A deep learning ensemble for accurate MS lesion segmentation

NeuroImage Clinical(2024)10.1016/j.nicl.2024.103611

N/A

0DataRank · unranked

55 citations

Julian McGinnis, Sarah Schlaeger, Florian Kofler, Cui Ci Voon, Achim Berthele +16 more