Benita Schmitz‐Koep
ORCID: 0000-0002-8874-5749Also affiliated with Technical University of Munich
MedicineNeurosciencePsychology
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: “LST-AI: A deep learning ensemble for accurate MS lesion segmentation”.
N/A
55 citations
Julian McGinnis, Sarah Schlaeger, Florian Kofler, Cui Ci Voon, Achim Berthele +16 more
N/A
2 citations
Jakob Seidlitz, Antonia Neubauer, Aurore Menegaux, Benita Schmitz‐Koep, Maria A. Di Biase +14 more
N/A
5 citations
Jakob Seidlitz, Antonia Neubauer, Aurore Menegaux, Benita Schmitz‐Koep, Maria A. Di Biase +16 more