受强制性开放获取政策约束的文章 - Ian Pan了解详情
无法在其他位置公开访问的文章：1 篇
End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study
S Meng, TML Tran, M Hu, PP Wang, T Yi, Z Zhong, L Wang, B Vogt, Z Jiao, ...
Journal of Stroke and Cerebrovascular Diseases 31 (11), 106753, 2022
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：13 篇
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
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
The RSNA pediatric bone age machine learning challenge
SS Halabi, LM Prevedello, J Kalpathy-Cramer, AB Mamonov, A Bilbily, ...
Radiology 290 (2), 498-503, 2019
强制性开放获取政策： US National Institutes of Health, National Institute for Health Research, UK
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
A Mahajan, CN Spracklen, W Zhang, MCY Ng, LE Petty, H Kitajima, ...
Nature genetics 54 (5), 560-572, 2022
强制性开放获取政策： US National Institutes of Health, UK Medical Research Council, Wellcome Trust
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
K Suzuki, K Hatzikotoulas, L Southam, HJ Taylor, X Yin, KM Lorenz, ...
Nature 627 (8003), 347-357, 2024
强制性开放获取政策： Helmholtz Association, Versus Arthritis, UK, UK Medical Research Council …
Evaluating progress in automatic chest x-ray radiology report generation
F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKUN Fonseca, ...
Patterns 4 (9), 2023
强制性开放获取政策： US National Institutes of Health
Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging
R Wang, Y Cai, IK Lee, R Hu, S Purkayastha, I Pan, T Yi, TML Tran, S Lu, ...
European radiology 31, 4960-4971, 2021
强制性开放获取政策： US National Institutes of Health
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data
R Wang, Z Jiao, L Yang, JW Choi, Z Xiong, K Halsey, TML Tran, I Pan, ...
European radiology 32, 205-212, 2022
强制性开放获取政策： US National Institutes of Health
Improving automated pediatric bone age estimation using ensembles of models from the 2017 RSNA machine learning challenge
I Pan, HH Thodberg, SS Halabi, J Kalpathy-Cramer, DB Larson
Radiology: Artificial Intelligence 1 (6), e190053, 2019
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
A Mahajan, CN Spracklen, W Zhang, MCY Ng, LE Petty, H Kitajima, ...
MedRxiv, 2020.09. 22.20198937, 2020
强制性开放获取政策： US National Institutes of Health, National Institute for Health Research, UK
Multi-ancestry genome-wide study in> 2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications
K Suzuki, K Hatzikotoulas, L Southam, HJ Taylor, X Yin, KM Lorenz, ...
medRxiv, 2023
强制性开放获取政策： US National Institutes of Health, US Department of Veterans Affairs …
Computer-assisted measurement of traumatic brain hemorrhage volume is more predictive of functional outcome and mortality than standard abc/2 method: an analysis of computed …
OP Leary, LH Merck, SD Yeatts, I Pan, DD Liu, TJ Harder, S Jung, ...
Journal of Neurotrauma 38 (5), 604-615, 2021
强制性开放获取政策： US National Institutes of Health
Radiology report expert evaluation (rexval) dataset
F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKU Fonseca, H Lee, ...
强制性开放获取政策： US National Institutes of Health
Multi-ancestry genome-wide study in> 2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications
AGDI Japan, K Suzuki, K Hatzikotoulas, L Southam, HJ Taylor, X Yin, ...
强制性开放获取政策： US National Institutes of Health, US Department of Veterans Affairs …
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