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

Luke Peng

Northeastern University

ORCID: 0000-0002-5678-1251

MedicinePhysics 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 3 papers. Top paper: “Multiparametric radiomic tissue signature and machine learning for distinguishing radiation necrosis from tumor progression after stereotactic radiosurgery”.

Multiparametric radiomic tissue signature and machine learning for distinguishing radiation necrosis from tumor progression after stereotactic radiosurgery

Neuro-Oncology Advances(2021)10.1093/noajnl/vdab150

N/A

0.464DataRank · unranked

21 citations

Vishwa S. Parekh, Luke Peng, Michael D. Chan, Kristin J. Redmond, M. Soike +5 more

Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study

The Lancet Digital Health(2022)10.1016/s2589-7500(22)00129-7

N/A

0DataRank · unranked

72 citations

Danielle S. Bitterman, Christian V. Guthier, Jack M. Qian, Hannah Roberts, Subha Perni +11 more

A Multidimensional Connectomics- and Radiomics-Based Advanced Machine-Learning Framework to Distinguish Radiation Necrosis from True Progression in Brain Metastases

Cancers(2023)10.3390/cancers15164113

N/A

0DataRank · unranked

12 citations

Vishwa S. Parekh, Emerson Lee, Xuguang Chen, Kristin J. Redmond, Jay J. Pillai +4 more