Nishanth Arun - Concepedia

Author

Nishanth Arun

Also Known As

Arun N, Arun N P, Arun, Nishanth, Arun, Nishanth Thumbavanam, N Arun, Nishanth Arun, Nishanth T. Arun, Nishanth Thumbavanam Arun

Publications

684

Citations

H-Index

Concepts

All Affiliations

Massachusetts General Hospital Athinoula A. Martinos Center for Biomedical Imaging Harvard University Massachusetts Institute of Technology Shiv Nadar University

About

Nishanth Arun is an author at Massachusetts General Hospital specializing in medical image computing, radiology, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	140
2	Data Science	3	3	108
3	Medicine	2	2	49
4	Biostatistics	2	2	58
5	Health Sciences	1	1	41

Nishanth Arun

Publications

640

Citations

H-Index

Page 1

	Year	Citations
Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging Nishanth Arun, Nathan Gaw, Praveer Singh, Radiology Artificial Intelligence	2021	247
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks Matthew Li, Nishanth Arun, Mishka Gidwani, Radiology Artificial Intelligence	2020	155
Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density Ken Chang, Andrew Beers, Laura Brink, Journal of the American College of Radiology Artificial IntelligenceEngineeringMachine LearningData ScienceDeep Learning	2020	50
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results Raghav Mehta, Angelos Filos, Ujjwal Baid, The Journal of Machine Learning for Biomedical Imaging	2022	46
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging Nishanth Arun, Nathan Gaw, Praveer Singh, EngineeringMachine LearningDiagnostic ImagingImage ClassificationImage Analysis	2020	41
Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks Matthew Li, Nishanth Arun, Mishka Gidwani, EngineeringMedical ImagingDeep LearningCovid-19External Test Sets	2020	32
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging Nishanth Arun, Nathan Gaw, Praveer Singh, arXiv (Cornell University)	2020	19
Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19 Matthew Li, Nishanth Arun, Mehak Aggarwal, Medicine	2022	19
Assessing the validity of saliency maps for abnormality localization in medical imaging Nishanth Arun, Nathan Gaw, Praveer Singh, arXiv (Cornell University) EngineeringMachine LearningRsna Pneumonia DatasetDiagnostic ImagingImage Classification	2020	17
Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19 Matthew Li, Nishanth Arun, Mehak Aggarwal,	2020	14

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