Concepedia

Author

Ken Chang

Athinoula A. Martinos Center for Biomedical ImagingORCID

Also Known As

Chang, Ken, K. Chang, Ken Chang, Ugur Cetintemel

145

Publications

5.7K

Citations

39

H-Index

109

Concepts

All Affiliations

Athinoula A. Martinos Center for Biomedical ImagingMassachusetts General HospitalBrigham and Women's HospitalHarvard UniversityCentral South University
KC

About

Ken Chang is an author at Athinoula A. Martinos Center for Biomedical Imaging specializing in engineering, medical image computing, and radiology.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

19

22

1.1K

2

Medicine

11

11

697

3

Health Sciences

10

10

392

4

Education

2

2

71

5

Public Health

2

2

133

Ken Chang

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67

Publications

5.5K

Citations

39

H-Index

YearCitations

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

James M. Brown, J. Peter Campbell, Andrew Beers,

JAMA Ophthalmology

2018

631

Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT

Harrison X. Bai, Robin Wang, Zeng Xiong,

Radiology

2020

399

Residual Convolutional Neural Network for the Determination of <i>IDH</i> Status in Low- and High-Grade Gliomas from MR Imaging

Ken Chang, Harrison X. Bai, Hao Zhou,

Clinical Cancer Research

2017

378

Distributed deep learning networks among institutions for medical imaging

Ken Chang, Niranjan Balachandar, Carson Lam,

Journal of the American Medical Informatics Association

2018

339

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas

Biqi Zhang, Ken Chang, Shakti Ramkissoon,

Neuro-Oncology

2016

268

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

Nishanth Arun, Nathan Gaw, Praveer Singh,

Radiology Artificial Intelligence

2021

247

Epidermal devices for noninvasive, precise, and continuous mapping of macrovascular and microvascular blood flow

R. Chad Webb, Yinji Ma, Siddharth Krishnan,

Science Advances

2015

236

Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement

Ken Chang, Andrew Beers, Harrison X. Bai,

Neuro-Oncology

2019

168

ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI

Stefan Winzeck, Arsany Hakim, Richard McKinley,

Frontiers in Neurology

2018

162

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

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