Chandrakanth Jayachandran Preetha

ORCID: 0000-0002-9875-1982

Also affiliated with University Hospital Heidelberg

MedicineComputer 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 4 papers. Top paper: “A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging”.

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Medical Image Analysis(2020)10.1016/j.media.2020.101832

N/A

0DataRank · unranked

490 citations

Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng +39 more

Federated learning enables big data for rare cancer boundary detection

Nature Communications(2022)10.1038/s41467-022-33407-5

N/A

0DataRank · unranked

352 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih‐Han Wang, G. Anthony Reina +95 more

Author Correction: Federated learning enables big data for rare cancer boundary detection

Nature Communications(2023)10.1038/s41467-023-36188-7

N/A

0DataRank · unranked

5 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-han Wang, G. Anthony Reina +95 more

Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple Sclerosis

Radiology Artificial Intelligence(2024)10.1148/ryai.230514

N/A

0DataRank · unranked

12 citations

Chandrakanth Jayachandran Preetha, Katerina Deike‐Hofmann, Robert Haase, Thomas Pinetz, Martha Foltyn‐Dumitru +10 more