Masoud Badiei Khuzani

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 4 papers. Top paper: “Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state‐of‐art applications”.

Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state‐of‐art applications

Medical Physics(2020)10.1002/mp.13649

N/A

0DataRank · unranked

272 citations

Masoud Badiei Khuzani, Varun Vasudevan, Charles Huang, Hongyi Ren, Ruoxiu Xiao +3 more

Leveraging data-driven self-consistency for high-fidelity gene expression recovery

Nature Communications(2022)10.1038/s41467-022-34595-w

N/A

0DataRank · unranked

9 citations

Jen‐Yeu Wang, Hongyi Ren, Xiaomeng Li, Masoud Badiei Khuzani, Shengtian Sang +5 more

SERM: a self-consistent deep learning solution for rapid and accurate gene expression recovery

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.18.476789

N/A

0DataRank · unranked

0 citations

Jen‐Yeu Wang, Hongyi Ren, Xiaomeng Li, Masoud Badiei Khuzani, Shengtian Sang +5 more

Revealing hidden patterns in deep neural network feature space continuum via manifold learning

Nature Communications(2023)10.1038/s41467-023-43958-w

N/A

0DataRank · unranked

59 citations

Zixia Zhou, Hongyi Ren, Masoud Badiei Khuzani, Daniel S. Kapp, James Zou +4 more