John Ginn

Also affiliated with Duke Medical Center, Duke University Hospital

Physics and AstronomyMedicine

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: “A Radiogenomic Deep Ensemble Learning Model for Identifying Radionecrosis Following Brain Metastases (BM) Stereotactic Radiosurgery in Patients With Non-small Cell Lung Cancer BM”.

A Radiogenomic Deep Ensemble Learning Model for Identifying Radionecrosis Following Brain Metastases (BM) Stereotactic Radiosurgery in Patients With Non-small Cell Lung Cancer BM

Advances in Radiation Oncology(2025)10.1016/j.adro.2025.101826

N/A

0DataRank · unranked

0 citations

Eugene Vaios, Evan Calabrese, Zhenyu Yang, Scott W. Robertson, John Ginn +8 more

An Explainable Deep Model for Risk Scoring and Accurate Radionecrosis Identification Following Brain Metastasis Stereotactic Radiosurgery

International Journal of Radiation Oncology*Biology*Physics(2025)10.1016/j.ijrobp.2025.11.038

N/A

0DataRank · unranked

0 citations

Eugene Vaios, Evan Calabrese, Zhenyu Yang, John Ginn, Ariel González +7 more

Knowledge‐based deep residual U‐Net (DRU) for synthetic CT generation using a single MR volume for frameless radiosurgery

Journal of Applied Clinical Medical Physics(2025)10.1002/acm2.70343

N/A

0DataRank · unranked

0 citations

Ke Lu, J. Zhao, John Ginn, Yongbok Kim, Zhenyu Yang +4 more