Csaba Molnár

Biochemistry, Genetics and Molecular BiologyEngineeringComputer Science

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: “Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images”.

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Cytometry Part A(2019)10.1002/cyto.a.23863

N/A

0.870DataRank · unranked

330 citations

Jonathan Roth, James W. Fairman, Tim Becker, Kyle W. Karhohs, Matthieu Broisin +7 more

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

bioRxiv (Cold Spring Harbor Laboratory)(2018)10.1101/335216

N/A

0.470DataRank · unranked

22 citations

Jonathan Roth, James W. Fairman, Tim Becker, Kyle W. Karhohs, Matthieu Broisin +7 more

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

Cell Systems(2020)10.1016/j.cels.2020.04.003

N/A

0DataRank · unranked

280 citations

Ábel Szkalisity, Tímea Tóth, Ervin Tasnádi, Csaba Molnár, Botond Mathe +20 more