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

Leslie R. Lamb

Harvard University

ORCID: 0000-0002-4024-7302

Also affiliated with Massachusetts General Hospital, Breast Center

Computer ScienceBiochemistry, Genetics and Molecular BiologyMedicine

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: “Predicting ipsilateral recurrence in women treated for ductal carcinoma in situ using machine learning and multivariable logistic regression models”.

Predicting ipsilateral recurrence in women treated for ductal carcinoma in situ using machine learning and multivariable logistic regression models

Clinical Imaging(2022)10.1016/j.clinimag.2022.08.023

N/A

0DataRank · unranked

5 citations

Sarah Mercaldo, Geunwon Kim, Keegan Hovis, Tawakalitu O. Oseni, Manisha Bahl +1 more

Artificial Intelligence (AI)-Based Computer-Assisted Detection and Diagnosis for Mammography: An Evidence-Based Review of Food and Drug Administration (FDA)-Cleared Tools for Screening Digital Breast Tomosynthesis (DBT)

AI in Precision Oncology(2024)10.1089/aipo.2024.0022

N/A

0DataRank · unranked

2 citations

Constance D. Lehman, Synho Do, Kyungsu Kim, Saúl Langarica, Manisha Bahl +1 more

Breast imaging with an ultra-low field MRI scanner: a pilot study

medRxiv(2024)10.1101/2024.04.01.24305081

N/A

0DataRank · unranked

3 citations

Néha Koonjoo, Friderike K. Longarino, Leslie R. Lamb, Juan C. Villa Camacho, Torben P.P. Hornung +7 more