Deekshith Reddy Dade

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: “Machine Learning Prediction of Blood Potassium at Different Time Cutoffs”.

Machine Learning Prediction of Blood Potassium at Different Time Cutoffs

Computing in cardiology(2024)10.22489/cinc.2024.145

N/A

0DataRank · unranked

0 citations

Deekshith Reddy Dade, Brian Zenger, Ravi Ranjan, Rob MacLeod, Benjamin A. Steinberg +2 more

Machine Learning Estimation of Myocardial Ischemia Severity Using Body Surface ECG

Computing in cardiology(2024)10.22489/cinc.2024.144

N/A

0DataRank · unranked

0 citations

Jake Bergquist, Deekshith Reddy Dade, Brian Zenger, Ravi Ranjan, Benjamin A. Steinberg +3 more

A Survey of Augmentation Techniques for Enhancing ECG Representation through Self-Supervised Contrastive Learning

Computing in cardiology(2024)10.22489/cinc.2024.223

N/A

0DataRank · unranked

0 citations

Jake Bergquist, Rob MacLeod, Ravi Ranjan, Benjamin A. Steinberg, Tolga Taşdizen +1 more