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Jeremy Irvin

Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark


Dec 01, 2021
Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodriguez, David Vazquez

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Structured dataset documentation: a datasheet for CheXpert


May 07, 2021
Christian Garbin, Pranav Rajpurkar, Jeremy Irvin, Matthew P. Lungren, Oge Marques

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OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery


Nov 14, 2020
Hao Sheng, Jeremy Irvin, Sasankh Munukutla, Shawn Zhang, Christopher Cross, Kyle Story, Rose Rustowicz, Cooper Elsworth, Zutao Yang, Mark Omara, Ritesh Gautam, Robert B. Jackson, Andrew Y. Ng

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* Tackling Climate Change with Machine Learning at NeurIPS 2020 (Spotlight talk) 
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CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays


Nov 12, 2020
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Jeremy Irvin, Andrew Y. Ng, Matthew Lungren

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* Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract 
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ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery


Nov 11, 2020
Jeremy Irvin, Hao Sheng, Neel Ramachandran, Sonja Johnson-Yu, Sharon Zhou, Kyle Story, Rose Rustowicz, Cooper Elsworth, Kemen Austin, Andrew Y. Ng

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* Tackling Climate Change with Machine Learning at NeurIPS 2020 
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Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models


Oct 14, 2020
Eric Zelikman, Sharon Zhou, Jeremy Irvin, Cooper Raterink, Hao Sheng, Anand Avati, Jack Kelly, Ram Rajagopal, Andrew Y. Ng, David Gagne

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CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting


Mar 11, 2020
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Phil Chen, Amirhossein Kiani, Jeremy Irvin, Andrew Y. Ng, Matthew P. Lungren

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* Accepted as workshop paper at ACM Conference on Health, Inference, and Learning (CHIL) 2020 
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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

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* Published in AAAI 2019 
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MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs


May 22, 2018
Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

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* 1st Conference on Medical Imaging with Deep Learning (MIDL 2018) 
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CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning


Dec 25, 2017
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

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