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

Didem Çifçi

Fresenius (Germany)

ORCID: 0000-0002-2647-9959

Also affiliated with University Hospital Carl Gustav Carus, Else Kröner Fresenius Center for Digital Health, Technische Universität Dresden, RWTH Aachen University

Computer ScienceMedicineBiochemistry, Genetics and Molecular Biology

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: “Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study”.

Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study

medRxiv(2023)10.1101/2023.03.08.23286975
N/A
0DataRank · unranked
13 citations

Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck +10 more

Deep learning can predict cardiovascular events from liver imaging

JHEP Reports(2025)10.1016/j.jhepr.2025.101427
N/A
0DataRank · unranked
7 citations

Tim Lenz, Didem Çifçi, Marko van Treeck, Jan Clusmann, Yazhou Chen +7 more

Deep learning predicts microsatellite instability status in colorectal carcinoma in an ethnically heterogeneous population in South Africa

Journal of Clinical Pathology(2025)10.1136/jcp-2025-210053
N/A
0DataRank · unranked
3 citations

Didem Çifçi, Gregory Patrick Veldhuizen, Wan-Jung Tsai, Komala Pillay, Adam Boutall +5 more