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

Roel J.H.M. Steenbakkers

University Medical Center Groningen

ORCID: 0000-0001-6414-778X

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: “Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer”.

Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer

International Journal of Radiation Oncology*Biology*Physics(2024)10.1016/j.ijrobp.2024.07.2334

N/A

0DataRank · unranked

10 citations

Suzanne P.M. de Vette, Hendrike Neh, Nanna M. Sijtsema, Roel J.H.M. Steenbakkers, Amy C. Moreno +5 more

Deep learning NTCP model for late dysphagia after radiotherapy for head and neck cancer patients based on 3D dose, CT and segmentations

Radiotherapy and Oncology(2025)10.1016/j.radonc.2025.111169

N/A

0DataRank · unranked

6 citations

Harribert Neh, Luuk Van der Hoek, Daniel MacRae, Hung Chu, A. Gawryszuk +8 more

Deep learning NTCP model for late dysphagia after radiotherapy for head and neck cancer patients based on 3D dose, CT and segmentations

medRxiv(2025)10.1101/2025.06.20.25329926

N/A

0DataRank · unranked

1 citations

Harribert Neh, Luuk Van der Hoek, Daniel MacRae, Hung Chu, A. Gawryszuk +8 more