Ozan Öktem
KTH Royal Institute of Technology
ORCID: 0000-0002-1118-6483MedicineBiochemistry, Genetics and Molecular BiologyEngineeringPhysics 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
Indexed papers
0in pilot corpus
Papers
Driven by 3 papers. Top paper: “Deep learning-based segmentation of multisite disease in ovarian cancer”.
N/A
22 citations
Leonardo Rundo, Ramona Woitek, Lorena Escudero Sanchez, Lucian Beer, Mireia Crispin-Ortuzar +22 more
N/A
7 citations
Leonardo Rundo, Ramona Woitek, L. Escudero, Lucian Beer, Mireia Crispin-Ortuzar +22 more
2 citations
Ander Biguri, Lorena Escudero Sánchez, Cathal McCague, Ozan Öktem, Carola‐Bibiane Schönlieb +1 more