Lungren, Matthew P.

MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

Johnson, A. E. W., Pollard, T. J., Berkowitz, S. J., Greenbaum, N. R., Lungren, M. P., Deng, C.-Y., Mark, R. G., & Horng, S. (2019) · Scientific Data

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 1,816

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

Rajpurkar, P., Irvin, J., Ball, R. L., Zhu, K., Yang, B., Mehta, H., Duan, T., Ding, D., Bagul, A., Langlotz, C. P., et al. (2018) · PLOS Medicine

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 1,449

Preparing Medical Imaging Data for Machine Learning

Willemink, M. J., Koszek, W. A., Hardell, C., Wu, J., Fleischmann, D., Harvey, H., Folio, L. R., Summers, R. M., Rubin, D. L., & Lungren, M. P. (2020) · Radiology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 1,020

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

Huang, S.-C., Pareek, A., Seyyedi, S., Banerjee, I., & Lungren, M. P. (2020) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 934

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

Bien, N., Rajpurkar, P., Ball, R. L., Irvin, J., Park, A., Jones, E., Bereket, M., Patel, B. N., Yeom, K. W., Shpanskaya, K., et al. (2018) · PLOS Medicine

Artificial Intelligence in Healthcare and EducationMedical Imaging and Analysis

Cited by 734

AI recognition of patient race in medical imaging: a modelling study

Gichoya, J. W., Banerjee, I., Bhimireddy, A. R., Burns, J. L., Celi, L. A., Chen, L.-C., Correa, R., Dullerud, N., Ghassemi, M., Huang, S.-C., et al. (2022) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 611

GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition

Huang, S.-C., Shen, L., Lungren, M. P., & Yeung, S. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 489

Self-supervised learning for medical image classification: a systematic review and implementation guidelines

Huang, S.-C., Pareek, A., Jensen, M., Lungren, M. P., Yeung, S., & Chaudhari, A. S. (2023) · npj Digital Medicine

Domain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education

Cited by 479

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs

Larson, D. B., Chen, M. C., Lungren, M. P., Halabi, S. S., Stence, N. V., & Langlotz, C. P. (2018) · Radiology

Forensic Anthropology and Bioarchaeology StudiesArtificial Intelligence in Healthcare and Education

Cited by 456

The current and future state of AI interpretation of medical images

Rajpurkar, P., & Lungren, M. P. (2023) · New England Journal of Medicine

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 443

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Irvin, J., Rajpurkar, P., Ko, M., Yu, Y., Ciurea-Ilcus, S., Chute, C., Marklund, H., Haghgoo, B., Ball, R., Shpanskaya, K., et al. (2019) · arXiv

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 392

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Irvin, J., Rajpurkar, P., Ko, M., Yu, Y., Ciurea-Ilcus, S., Chute, C., Marklund, H., Haghgoo, B., Ball, R., Shpanskaya, K., et al. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 392

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Langlotz, C. P., Allen, B., Erickson, B. J., Kalpathy-Cramer, J., Bigelow, K., Cook, T. S., Flanders, A. E., Lungren, M. P., Mendelson, D. S., Rudie, J. D., et al. (2019) · Radiology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 368

A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs

Zhang, S., Xu, Y., Usuyama, N., Xu, H., Bagga, J., Tinn, R., Preston, S., Rao, R., Wei, M., Valluri, N., et al. (2025) · NEJM AI

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 283

Benchmarking saliency methods for chest X-ray interpretation

Saporta, A., Gui, X., Agrawal, A., Pareek, A., Truong, S. Q. H., Nguyen, C. D. T., Ngo, V.-D., Seekins, J., Blankenberg, F. G., Ng, A. Y., et al. (2022) · Nature Machine Intelligence

Explainable Artificial Intelligence (XAI)COVID-19 diagnosis using AI

Cited by 270

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Johnson, A. E. W., Pollard, T. J., Greenbaum, N. R., Lungren, M. P., Deng, C.-Y., Peng, Y., Lu, Z., Mark, R. G., Berkowitz, S. J., & Horng, S. (2019) · arXiv

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 269

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Smit, A., Jain, S., Rajpurkar, P., Pareek, A., Ng, A., & Lungren, M. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Multimodal Machine Learning ApplicationsMachine Learning in Healthcare

Cited by 262

Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model

Park, A., Chute, C., Rajpurkar, P., Lou, J., Ball, R. L., Shpanskaya, K., Jabarkheel, R., Kim, L. H., McKenna, E., Tseng, J., et al. (2019) · JAMA Network Open

Intracranial Aneurysms: Treatment and ComplicationsMedical Image Segmentation Techniques

Cited by 258

Human–machine partnership with artificial intelligence for chest radiograph diagnosis

Patel, B. N., Rosenberg, L., Willcox, G., Baltaxe, D., Lyons, M., Irvin, J., Rajpurkar, P., Amrhein, T., Gupta, R., Halabi, S., et al. (2019) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AI

Cited by 254

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

Huang, S.-C., Pareek, A., Zamanian, R., Banerjee, I., & Lungren, M. P. (2020) · Scientific Reports

Machine Learning in HealthcareRadiomics and Machine Learning in Medical Imaging

Cited by 246

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Bannur, S., Hyland, S., Liu, Q., Pérez-García, F., Ilse, M., Castro, D. C., Boecking, B., Sharma, H., Bouzid, K., Thieme, A., et al. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 227

Deep Learning to Classify Radiology Free-Text Reports

Chen, M. C., Ball, R. L., Yang, L., Moradzadeh, N., Chapman, B. E., Larson, D. B., Langlotz, C. P., Amrhein, T. J., & Lungren, M. P. (2018) · Radiology

Machine Learning in HealthcareRadiomics and Machine Learning in Medical Imaging

Cited by 217

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

Esteva, A., Feng, J., van der Wal, D., Huang, S.-C., Simko, J. P., DeVries, S., Chen, E., Schaeffer, E. M., Morgan, T. M., Sun, Y., et al. (2022) · npj Digital Medicine

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 217

Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs

Dunnmon, J. A., Yi, D., Langlotz, C. P., Ré, C., Rubin, D. L., & Lungren, M. P. (2019) · Radiology

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 206