Jeremy Irvin | DeepAI

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Featured Co-authors

Andrew Y. Ng
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∙ 05/13/2023

How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems

Self-supervised learning (SSL) enables label efficient training for mach...

0 Cara Van Uden, et al. ∙

∙ 08/27/2022

Improving debris flow evacuation alerts in Taiwan using machine learning

Taiwan has the highest susceptibility to and fatalities from debris flow...

5 Yi-Lin Tsai, et al. ∙

∙ 07/22/2022

METER-ML: A Multi-sensor Earth Observation Benchmark for Automated Methane Source Mapping

Reducing methane emissions is essential for mitigating global warming. T...

13 Bryan Zhu, et al. ∙

∙ 05/07/2021

Structured dataset documentation: a datasheet for CheXpert

Billions of X-ray images are taken worldwide each year. Machine learning...

43 Christian Garbin, et al. ∙

∙ 11/14/2020

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

At least a quarter of the warming that the Earth is experiencing today i...

6 Hao Sheng, et al. ∙

∙ 11/12/2020

CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays

The use of smartphones to take photographs of chest x-rays represents an...

23 Pranav Rajpurkar, et al. ∙

∙ 11/11/2020

ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery

Characterizing the processes leading to deforestation is critical to the...

11 Jeremy Irvin, et al. ∙

∙ 10/09/2020

Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models

Advancing probabilistic solar forecasting methods is essential to suppor...

2 Eric Zelikman, et al. ∙

∙ 02/26/2020

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

Although there have been several recent advances in the application of d...

1 Pranav Rajpurkar, et al. ∙

∙ 01/21/2019

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

Large, labeled datasets have driven deep learning methods to achieve exp...

2 Jeremy Irvin, et al. ∙

∙ 12/11/2017

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs

We introduce MURA, a large dataset of musculoskeletal radiographs contai...

0 Pranav Rajpurkar, et al. ∙

∙ 11/14/2017

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

We develop an algorithm that can detect pneumonia from chest X-rays at a...

0 Pranav Rajpurkar, et al. ∙

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