Julia Cluceru

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 5 papers. Top paper: “Deep Learning to Predict the Future Growth of Geographic Atrophy from Fundus Autofluorescence”.

Deep Learning to Predict the Future Growth of Geographic Atrophy from Fundus Autofluorescence

Ophthalmology Science(2024)10.1016/j.xops.2024.100635

N/A

0.264DataRank · unranked

4 citations

Julia Cluceru, Simon S. Gao, Christina Rabe, Courtney Schiffman, Qi Yang +7 more

Centrally Reduced Diffusion Sign for Differentiation between Treatment-Related Lesions and Glioma Progression: A Validation Study

American Journal of Neuroradiology(2020)10.3174/ajnr.a6843

N/A

0DataRank · unranked

13 citations

Julia Cluceru, Janine Lupo, Theresa Yu, Tracy Luks, Tarık Tihan +3 more

Recurrent tumor and treatment-induced effects have different MR signatures in contrast enhancing and non-enhancing lesions of high-grade gliomas

Neuro-Oncology(2020)10.1093/neuonc/noaa094

N/A

0DataRank · unranked

8 citations

Sarah J. Nelson, Qiuting Wen, Joanna J. Phillips, Anny Shai, Annette M. Molinaro +11 more

Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning

Journal of Digital Imaging(2022)10.1007/s10278-022-00690-z

N/A

0DataRank · unranked

7 citations

Janine Lupo, Yannet Interian, Riley Bove, Jason C. Crane, Julia Cluceru

Improving the Generalizability of Deep Learning for T2-Lesion Segmentation of Gliomas in the Post-Treatment Setting

Bioengineering(2024)10.3390/bioengineering11050497

N/A

0DataRank · unranked

0 citations

Francesco Calivá, Pablo F. Damasceno, Tracy Luks, Marisa Lafontaine, Julia Cluceru +7 more