Joshua Kaggie

MedicineChemistryPhysics and Astronomy

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 4 papers. Top paper: “Federated learning for predicting clinical outcomes in patients with COVID-19”.

Federated learning for predicting clinical outcomes in patients with COVID-19

Nature Medicine(2021)10.1038/s41591-021-01506-3

N/A

0.990DataRank · unranked

735 citations

Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin +94 more

Federated Learning used for predicting outcomes in SARS-COV-2 patients

Research Square(2021)10.21203/rs.3.rs-126892/v1

N/A

0DataRank · unranked

46 citations

Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili +93 more

Segmentation of knee MRI data with convolutional neural networks for semi-automated three-dimensional surface-based analysis of cartilage morphology and composition

Osteoarthritis Imaging(2022)10.1016/j.ostima.2022.100010

N/A

0DataRank · unranked

22 citations

James Mackay, Stephen McDonnell, Robert L. Janiczek, Martin J. Graves, Joshua Kaggie +2 more

New Horizons in Hyperpolarized 13C MRI

Molecular Imaging and Biology(2023)10.1007/s11307-023-01888-5

N/A

0DataRank · unranked

27 citations

James A. Bankson, Kevin M. Brindle, Shdema Epstein, Ferdia A. Gallagher, Martin Grashei +10 more