Jeremy Irvin
According to our database1,
Jeremy Irvin
authored at least 23 papers
between 2016 and 2024.
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Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
CoRR, 2023
CoRR, 2023
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022
2021
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark.
CoRR, 2021
2020
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
npj Digit. Medicine, 2020
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
npj Digit. Medicine, 2020
OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery.
CoRR, 2020
CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays.
CoRR, 2020
ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery.
CoRR, 2020
CoRR, 2020
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting.
CoRR, 2020
2019
Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis.
npj Digit. Medicine, 2019
Human-machine partnership with artificial intelligence for chest radiograph diagnosis.
npj Digit. Medicine, 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2017
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs.
CoRR, 2017
CoRR, 2017
2016
Dynamical systems modeling of the child-mother dyad: Causality between child-directed language complexity and language development.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016