🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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Naresh Nandakumar

Naresh Nandakumar

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: “DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity”.

DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity

IEEE Transactions on Biomedical Engineering(2022)10.1109/tbme.2022.3187942

N/A

0DataRank · unranked

22 citations

David Hsu, Raheel Ahmed, Archana Venkataraman, Naresh Nandakumar

A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer Network

PubMed(2023)10.1109/isbi53787.2023.10230831

N/A

0DataRank · unranked

4 citations

David Hsu, Raheel Ahmed, Archana Venkataraman, Naresh Nandakumar

A Deep Learning Framework To Characterize Noisy Labels In Epileptogenic Zone Localization Using Functional Connectivity

PubMed(2024)10.1109/isbi56570.2024.10635583

N/A

0DataRank · unranked

0 citations

David Hsu, Raheel Ahmed, Archana Venkataraman, Naresh Nandakumar