Sukhinder Atkar-Khattra

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 4 papers. Top paper: “Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches”.

Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches

Thorax(2024)10.1136/thorax-2023-220226

N/A

0.677DataRank · unranked

90 citations

Hamad Al‐Sawaihey, Stephen Lam, Geoffrey Liu, Brenda Diergaarde, Jian‐Min Yuan +10 more

Circulating Proteome for Pulmonary Nodule Malignancy

medRxiv(2022)10.1101/2022.09.24.22280288

N/A

0.165DataRank · unranked

2 citations

Yonathan Brhane, Matthew T. Warkentin, Stephen Lam, John K. Field, Geoffrey Liu +13 more

Circulating proteome for pulmonary nodule malignancy

JNCI Journal of the National Cancer Institute(2023)10.1093/jnci/djad122

N/A

0DataRank · unranked

29 citations

Matthew T. Warkentin, Yonathan Brhane, Stephen Lam, John K. Field, Geoffrey Liu +14 more

The International Association for the Study of Lung Cancer Early Lung Imaging Confederation Open-Source Deep Learning and Quantitative Measurement Initiative

Journal of Thoracic Oncology(2023)10.1016/j.jtho.2023.08.016

N/A

0DataRank · unranked

19 citations

Murry W. Wynes, Casey Connolly, Kazuto Ashizawa, Sukhinder Atkar-Khattra, Chandra P. Belani +25 more