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

Sajad Mousavi

ORCID: 0000-0002-3806-8487

MedicineComputer ScienceNeuroscienceEngineering

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: “Single-modal and multi-modal false arrhythmia alarm reduction using attention-based convolutional and recurrent neural networks”.

Single-modal and multi-modal false arrhythmia alarm reduction using attention-based convolutional and recurrent neural networks

PLoS ONE(2020)10.1371/journal.pone.0226990

N/A

0DataRank · unranked

41 citations

Atiyeh Fotoohinasab, Fatemeh Afghah, Sajad Mousavi

HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks

Computers in Biology and Medicine(2020)10.1016/j.compbiomed.2020.104057

N/A

0DataRank · unranked

7 citations

Fatemeh Afghah, U. Rajendra Acharya, Sajad Mousavi

Development and validation of an open-source pipeline for automatic population of case report forms from electronic health records: a pediatric multi-center prospective study

EBioMedicine(2024)10.1016/j.ebiom.2024.105337

N/A

0DataRank · unranked

3 citations

Simran Makwana, Audrey Dionne, Simran Mahanta, Karla J. Dyer, Faridis Serrano +12 more