Çiğdem Özkan

Medicine

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 in knee osteoarthritis: A comprehensive review for 2022”.

Artificial intelligence in knee osteoarthritis: A comprehensive review for 2022

Osteoarthritis Imaging(2023)10.1016/j.ostima.2023.100161

N/A

1.2DataRank · unranked

32 citations

Cem M. Deniz, Çiğdem Özkan

Estimation of time-to-total knee replacement surgery with multimodal modeling and artificial intelligence

Computers in Biology and Medicine(2025)10.1016/j.compbiomed.2025.110364

N/A

0.196DataRank · unranked

2 citations

Eisa Hedayati, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Gregory Chang, Richard Kijowski +2 more

MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI

Radiology Artificial Intelligence(2025)10.1148/ryai.240373

N/A

0.165DataRank · unranked

2 citations

Shengjia Chen, Çiğdem Özkan, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski +2 more

Estimating time-to-total knee replacement on radiographs and MRI: a multimodal approach using self-supervised deep learning

Radiology Advances(2022)10.1093/radadv/umae030

N/A

0DataRank · unranked

2 citations

Shengjia Chen, Chaojie Zhang, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz +1 more