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RadGraph: Extracting Clinical Entities and Relations from Radiology Reports


Jun 28, 2021
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven QH Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar


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Simulating time to event prediction with spatiotemporal echocardiography deep learning


Mar 03, 2021
Rohan Shad, Nicolas Quach, Robyn Fong, Patpilai Kasinpila, Cayley Bowles, Kate M. Callon, Michelle C. Li, Jeffrey Teuteberg, John P. Cunningham, Curtis P. Langlotz, William Hiesinger

* 9 pages, 5 figures 

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Medical Imaging and Machine Learning


Mar 02, 2021
Rohan Shad, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, William Hiesinger

* 9 pages, 4 figures 

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Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation


Oct 20, 2020
Yasuhide Miura, Yuhao Zhang, Curtis P. Langlotz, Dan Jurafsky

* 13 pages, 3 figures 

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Contrastive Learning of Medical Visual Representations from Paired Images and Text


Oct 02, 2020
Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz


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SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans


Sep 25, 2020
Saeed Seyyedi, Margaret J. Wong, Debra M. Ikeda, Curtis P. Langlotz


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Biomedical and Clinical English Model Packages in the Stanza Python NLP Library


Jul 29, 2020
Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz

* Website: https://stanfordnlp.github.io/stanza/; demo page: http://stanza.run/bio 

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Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports


Nov 08, 2019
Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning, Curtis P. Langlotz


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Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis


Aug 24, 2019
Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Andreas M. Loening, Jeanne Shen, James D. Brooks, Curtis P. Langlotz, Daniel L. Rubin


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


Jan 21, 2019
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng

* Published in AAAI 2019 

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Learning to Summarize Radiology Findings


Oct 08, 2018
Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz

* EMNLP 2018 Workshop on Health Text Mining and Information Analysis (EMNLP-LOUHI). Code and pretrained model available at: https://github.com/yuhaozhang/summarize-radiology-findings 

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