Ken Chang

Alıntı yapanlar

	Hepsi	2020 yılından bugüne
Alıntılar	9168	8375
h-endeksi	41	41
i10-endeksi	71	70

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201620172018201920202021202220232024202524 61 185 444 943 1576 1667 1918 1865 386

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Jayashree Kalpathy-CramerUniversity of Coloradocuanschutz.edu üzerinde doğrulanmış e-posta adresine sahip
Anna BeersUniversity of North Carolinaunc.edu üzerinde doğrulanmış e-posta adresine sahip
Raymond HuangBrigham and Women's Hospitalbwh.harvard.edu üzerinde doğrulanmış e-posta adresine sahip
Jay PatelResearch Fellowmgh.harvard.edu üzerinde doğrulanmış e-posta adresine sahip
James M. BrownAssociate Professor | University of Lincolnlincoln.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Katharina Hoebel, MD, PhDResearch Fellow, Department of Biomedical Informatics, Harvard Medical Schoolhms.harvard.edu üzerinde doğrulanmış e-posta adresine sahip
Praveer SinghAssistant Professor, University of Colorado School of Medicinecuanschutz.edu üzerinde doğrulanmış e-posta adresine sahip
Harrison BaiAssociate Professor of Radiology, Johns Hopkinsjh.edu üzerinde doğrulanmış e-posta adresine sahip
Patrick WenProfessor of Neurology, Harvard Medical Schooldfci.harvard.edu üzerinde doğrulanmış e-posta adresine sahip
J Peter CampbellOregon Health & Science Universityohsu.edu üzerinde doğrulanmış e-posta adresine sahip
Matthew D. Li, MDUniversity of Albertaualberta.ca üzerinde doğrulanmış e-posta adresine sahip
Nishanth ArunCarnegie Mellon Universityandrew.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Michael F. ChiangDirector, National Eye Institute, National Institutes of Healthnih.gov üzerinde doğrulanmış e-posta adresine sahip
Robin WangStanford Universitystanford.edu üzerinde doğrulanmış e-posta adresine sahip
Sharut GuptaPhD at MIT CSAILmit.edu üzerinde doğrulanmış e-posta adresine sahip
Mehak AggarwalIndian Institute of Technologyiitd.ac.in üzerinde doğrulanmış e-posta adresine sahip
Charles LuMassachusetts Institute of Technologymit.edu üzerinde doğrulanmış e-posta adresine sahip
Niranjan BalachandarStanford Universitystanford.edu üzerinde doğrulanmış e-posta adresine sahip
Nathan GawAssistant Professor of Data Science, Air Force Institute of Technologyafit.edu üzerinde doğrulanmış e-posta adresine sahip
Darvin YiAssistant Professor, UIC Dept. of Ophthalmology; Technical Director, UIC Ai-Ouic.edu üzerinde doğrulanmış e-posta adresine sahip

Takip et

Ken Chang

Stanford University

stanford.edu üzerinde doğrulanmış e-posta adresine sahip

Machine Learning Medical Imaging Distributed Learning


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018	2324	2018
Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks JM Brown, JP Campbell, A Beers, K Chang, S Ostmo, RVP Chan, J Dy, ... JAMA ophthalmology 136 (7), 803-810, 2018	634	2018
Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CT HX Bai, R Wang, Z Xiong, B Hsieh, K Chang, K Halsey, TML Tran, ... Radiology 296 (3), E156-E165, 2020	463	2020
Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging K Chang, HX Bai, H Zhou, C Su, WL Bi, E Agbodza, VK Kavouridis, ... Clinical Cancer Research 24 (5), 1073-1081, 2018	410	2018
Distributed deep learning networks among institutions for medical imaging K Chang, N Balachandar, C Lam, D Yi, J Brown, A Beers, B Rosen, ... Journal of the American Medical Informatics Association 25 (8), 945-954, 2018	379	2018
Assessing the trustworthiness of saliency maps for localizing abnormalities in medical imaging N Arun, N Gaw, P Singh, K Chang, M Aggarwal, B Chen, K Hoebel, ... Radiology: Artificial Intelligence 3 (6), 2021	289	2021
Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas B Zhang, K Chang, S Ramkissoon, S Tanguturi, WL Bi, DA Reardon, ... Neuro-oncology 19 (1), 109-117, 2016	270	2016
Epidermal devices for noninvasive, precise, and continuous mapping of macrovascular and microvascular blood flow RC Webb, Y Ma, S Krishnan, Y Li, S Yoon, X Guo, X Feng, Y Shi, M Seidel, ... Science advances 1 (9), e1500701, 2015	262	2015
Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature Communications 13 (1), 1-17, 2022	251	2022
Federated learning for breast density classification: A real-world implementation HR Roth, K Chang, P Singh, N Neumark, W Li, V Gupta, S Gupta, L Qu, ... Domain Adaptation and Representation Transfer, and Distributed and …, 2020	227	2020
Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement K Chang, AL Beers, HX Bai, JM Brown, KI Ly, X Li, JT Senders, ... Neuro-oncology 21 (11), 1412-1422, 2019	190	2019
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks MD Li, NT Arun, M Gidwani, K Chang, F Deng, BP Little, DP Mendoza, ... Radiology: Artificial Intelligence 2 (4), e200079, 2020	179*	2020
Split Learning for collaborative deep learning in healthcare MG Poirot, P Vepakomma, K Chang, J Kalpathy-Cramer, R Gupta, ... arXiv preprint arXiv:1912.12115, 2019	179	2019
ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ... Frontiers in neurology 9, 679, 2018	179	2018
Deep learning to distinguish benign from malignant renal lesions based on routine MR imaging IL Xi, Y Zhao, R Wang, M Chang, S Purkayastha, K Chang, RY Huang, ... Clinical Cancer Research 26 (8), 1944-1952, 2020	140	2020
High-resolution medical image synthesis using progressively grown generative adversarial networks A Beers, J Brown, K Chang, JP Campbell, S Ostmo, MF Chiang, ... arXiv preprint arXiv:1805.03144, 2018	140	2018
Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low-and high-grade gliomas H Zhou, K Chang, HX Bai, B Xiao, C Su, WL Bi, PJ Zhang, JT Senders, ... Journal of neuro-oncology 142 (2), 299-307, 2019	132	2019
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging MD Li, K Chang, B Bearce, CY Chang, AJ Huang, JP Campbell, ... NPJ digital medicine 3 (1), 48, 2020	124	2020
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study Z Jiao, JW Choi, K Halsey, TML Tran, B Hsieh, D Wang, F Eweje, R Wang, ... The Lancet Digital Health 3 (5), e286-e294, 2021	123	2021
Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab K Chang, B Zhang, X Guo, M Zong, R Rahman, D Sanchez, N Winder, ... Neuro-oncology 18 (12), 1680-1687, 2016	116	2016

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