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Matthew Lungren
Matthew Lungren
Chief Data Science Officer Microsoft HLS, Associate Professor UCSF, Adjunct Professor Stanford
Verified email at stanford.edu
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Cited by
Year
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
29392017
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
23592019
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
11072018
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), 317, 2019
8252019
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
7262020
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
6922019
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
6082018
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
4202018
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines
SC Huang, A Pareek, S Seyyedi, I Banerjee, MP Lungren
NPJ digital medicine 3 (1), 136, 2020
4092020
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
3832017
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
3422019
AI recognition of patient race in medical imaging: a modelling study
JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ...
The Lancet Digital Health 4 (6), e406-e414, 2022
2732022
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
2432019
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
2202018
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
2152019
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
2142019
CheXbert: combining automatic labelers and expert annotations for accurate radiology report labeling using BERT
A Smit, S Jain, P Rajpurkar, A Pareek, AY Ng, MP Lungren
arXiv preprint arXiv:2004.09167, 2020
2092020
Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition
SC Huang, L Shen, MP Lungren, S Yeung
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1972021
Construction of a machine learning dataset through collaboration: the RSNA 2019 brain CT hemorrhage challenge
AE Flanders, LM Prevedello, G Shih, SS Halabi, J Kalpathy-Cramer, ...
Radiology: Artificial Intelligence 2 (3), e190211, 2020
1752020
Human–machine partnership with artificial intelligence for chest radiograph diagnosis
BN Patel, L Rosenberg, G Willcox, D Baltaxe, M Lyons, J Irvin, ...
NPJ digital medicine 2 (1), 111, 2019
1732019
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