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

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Nishanth Arun

Nishanth Arun

Vels University

ORCID: 0000-0003-1424-4703

Also affiliated with Carnegie Mellon University

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 7 papers. Top paper: “QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results”.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-354b

N/A

0.601DataRank · unranked

54 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density

Journal of the American College of Radiology(2020)10.1016/j.jacr.2020.05.015

N/A

0.593DataRank · unranked

51 citations

Andrew Beers, Laura Brink, Jay Patel, Praveer Singh, Nishanth Arun +11 more

Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks

Radiology Artificial Intelligence(2020)10.1148/ryai.2020200079

N/A

0DataRank · unranked

157 citations

Nishanth Arun, Mishka Gidwani, Ken Chang, Francis Deng, Brent P. Little +8 more

Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200267

N/A

0DataRank · unranked

277 citations

Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen +8 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

arXiv (Cornell University)(2021)10.48550/arxiv.2112.10074

N/A

0DataRank · unranked

7 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19

medRxiv(2020)10.1101/2020.09.15.20195453

N/A

0DataRank · unranked

14 citations

Nishanth Arun, Mehak Aggarwal, Sharut Gupta, Praveer Singh, Brent P. Little +11 more

Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks

medRxiv(2020)10.1101/2020.05.20.20108159

N/A

0DataRank · unranked

32 citations

Nishanth Arun, Mishka Gidwani, Ken Chang, Francis Deng, Brent P. Little +8 more