Matthew P Lungren
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Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning
P Rajpurkar, J Irvin, K Zhu, B Yang, H Mehta, T Duan, D Ding, A Bagul, ...
arXiv preprint arXiv:1711.05225, 2017
Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
J Irvin, P Rajpurkar, M Ko, Y Yu, S Ciurea-Ilcus, C Chute, H Marklund, ...
Proceedings of the AAAI conference on artificial intelligence 33 (01), 590-597, 2019
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang, H Mehta, T Duan, D Ding, ...
PLoS medicine 15 (11), e1002686, 2018
Performance of a deep-learning neural network model in assessing skeletal maturity on pediatric hand radiographs
DB Larson, MC Chen, MP Lungren, SS Halabi, NV Stence, CP Langlotz
Radiology 287 (1), 313-322, 2018
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: development and retrospective validation of MRNet
N Bien, P Rajpurkar, RL Ball, J Irvin, A Park, E Jones, M Bereket, BN Patel, ...
PLoS medicine 15 (11), e1002699, 2018
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
AEW Johnson, TJ Pollard, NR Greenbaum, MP Lungren, C Deng, Y Peng, ...
arXiv preprint arXiv:1901.07042, 2019
Mura: Large dataset for abnormality detection in musculoskeletal radiographs
P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, ...
arXiv preprint arXiv:1712.06957, 2017
A roadmap for foundational research on artificial intelligence in medical imaging: from the 2018 NIH/RSNA/ACR/The Academy Workshop
CP Langlotz, B Allen, BJ Erickson, J Kalpathy-Cramer, K Bigelow, ...
Radiology 291 (3), 781-791, 2019
Preparing medical imaging data for machine learning
MJ Willemink, WA Koszek, C Hardell, J Wu, D Fleischmann, H Harvey, ...
Radiology 295 (1), 4-15, 2020
Deep learning to classify radiology free-text reports
MC Chen, RL Ball, L Yang, N Moradzadeh, BE Chapman, DB Larson, ...
Radiology 286 (3), 845-852, 2018
Assessment of convolutional neural networks for automated classification of chest radiographs
JA Dunnmon, D Yi, CP Langlotz, C Ré, DL Rubin, MP Lungren
Radiology 290 (2), 537-544, 2019
MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports
AEW Johnson, TJ Pollard, SJ Berkowitz, NR Greenbaum, MP Lungren, ...
Scientific data 6 (1), 1-8, 2019
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification
I Banerjee, Y Ling, MC Chen, SA Hasan, CP Langlotz, N Moradzadeh, ...
Artificial intelligence in medicine 97, 79-88, 2019
Deep learning–assisted diagnosis of cerebral aneurysms using the HeadXNet model
A Park, C Chute, P Rajpurkar, J Lou, RL Ball, K Shpanskaya, ...
JAMA network open 2 (6), e195600-e195600, 2019
Fiber type composition and maximum shortening velocity of muscles crossing the human shoulder
RC Srinivasan, MP Lungren, JE Langenderfer, RE Hughes
Clinical Anatomy: The Official Journal of the American Association of …, 2007
Tunneled peritoneal drainage catheter placement for refractory ascites: single-center experience in 188 patients
MP Lungren, CY Kim, JK Stewart, TP Smith, MJ Miller
Journal of Vascular and Interventional Radiology 24 (9), 1303-1308, 2013
Overview of ImageCLEF 2018: Challenges, datasets and evaluation
B Ionescu, H Müller, M Villegas, AGS de Herrera, C Eickhoff, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2018
Transjugular intrahepatic portosystemic shunt complications: prevention and management
PV Suhocki, MP Lungren, B Kapoor, CY Kim
Seminars in interventional radiology 32 (02), 123-132, 2015
White paper report of the RAD-AID Conference on International Radiology for Developing Countries: identifying challenges, opportunities, and strategies for imaging services in …
DJ Mollura, EM Azene, A Starikovsky, A Thelwell, S Iosifescu, C Kimble, ...
Journal of the American College of Radiology 7 (7), 495-500, 2010
CheXNet: radiologist-level pneumonia detection on chest x-rays with deep learning. 2017
P Rajpurkar, J Irvin, K Zhu, B Yang, H Mehta, T Duan, D Ding, A Bagul, ...
Reference Source, 2020
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