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

Denis Dudas

Ujp Praha (Czechia)

ORCID: 0000-0003-0667-3727

Also affiliated with Czech Technical University in Prague

Physics and AstronomyMedicineEngineering

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: “Deep Learning-Guided Dosimetry for Mitigating Local Failure of Patients With Non-Small Cell Lung Cancer Receiving Stereotactic Body Radiation Therapy”.

Deep Learning-Guided Dosimetry for Mitigating Local Failure of Patients With Non-Small Cell Lung Cancer Receiving Stereotactic Body Radiation Therapy

International Journal of Radiation Oncology*Biology*Physics(2023)10.1016/j.ijrobp.2023.11.059

N/A

0DataRank · unranked

11 citations

Paymen Ghasemi Saghand, Thomas J. Dilling, Bradford A. Perez, Stephen A. Rosenberg, Issam El Naqa +1 more

A deep learning-informed interpretation of why and when dose metrics outside the PTV can affect the risk of distant metastasis in SBRT NSCLC patients

Radiation Oncology(2024)10.1186/s13014-024-02519-1

N/A

0DataRank · unranked

5 citations

Thomas J. Dilling, I. El Naqa, Denis Dudas

Improved outcome models with denoising diffusion

Physica Medica(2024)10.1016/j.ejmp.2024.103307

N/A

0DataRank · unranked

3 citations

Thomas J. Dilling, I. El Naqa, Denis Dudas