Fredrik Löfman

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 4 papers. Top paper: “Artificial intelligence and machine learning for medical imaging: A technology review”.

Artificial intelligence and machine learning for medical imaging: A technology review

Physica Medica(2021)10.1016/j.ejmp.2021.04.016

N/A

0DataRank · unranked

433 citations

Umair Javaid, Gilmer Valdés, Dan Nguyen, Paul Desbordes, Benoît Macq +9 more

Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency

Physics in Medicine and Biology(2022)10.1088/1361-6560/ac678a

N/A

0DataRank · unranked

78 citations

Adrien Bibal, Margerie Huet Dastarac, Camille Draguet, Gilmer Valdés, Dan Nguyen +8 more

Comparison of Vendor-Pretrained and Custom-Trained Deep Learning Segmentation Models for Head-and-Neck, Breast, and Prostate Cancers

Diagnostics(2024)10.3390/diagnostics14242851

N/A

0DataRank · unranked

1 citations

Yao Zhao, Hana Baroudi, Mohammad D. El Basha, Aji Daniel, Skylar Gay +14 more

Clinical target volumes for glioma – Automated delineation to improve neuroanatomic consistency

Physics and Imaging in Radiation Oncology(2025)10.1016/j.phro.2025.100865

N/A

0DataRank · unranked

1 citations

Marcela Giovenco, Tuğba Yılmaz, Ali Ajdari, Christopher P. Bridge, G Sharp +4 more