JI
Jeremy Irvin
cs.CVcs.LGcs.AIeess.IVDeep LearningRadiographystat.APstat.MLCardiovascular diseasesComputer science
On Valency
published · living versionsW_xe24gwhn·v1 · currentpublished
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
with Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus +15
1 version
W_svtxnew3·v1published
Preprints & journals
37 papers in the corpus · 2017–2025Spatiotemporal Pyramid Flow Matching for Climate Emulation2512.02268v1 · Jeremy Andrew Irvin, Jiaqi Han, Zikui Wang et al.2025 · 0 citationsarXiv
Regional mapping of natural gas compressor stations in the United States and Canada using deep learning on satellite imagery.40884956 · Liu, Benjamin, Irvin, Jeremy, Omara, Mark et al.2025 · 1 citationJournal of environmental management. 2025;393:126728
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data2410.06234v2 · Jeremy Andrew Irvin, Emily Ruoyu Liu, Joyce Chuyi Chen et al.2024 · 4 citationsarXiv
Deep learning for detecting and characterizing oil and gas well pads in satellite imagery.39147770 · Ramachandran, Neel, Irvin, Jeremy, Omara, Mark et al.2024 · 23 citationsNature communications. 2024;15(1):7036
Many-Shot In-Context Learning in Multimodal Foundation Models2405.09798v2 · Yixing Jiang, Jeremy Irvin, Ji Hun Wang et al.2024 · 6 citationsarXiv
CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds2401.14486v1 · Muhammad Ahmed Chaudhry, Lyna Kim, Jeremy Irvin et al.2024 · 0 citationsarXiv
Probabilistic Prediction of Laboratory Test Information Yield.38222438 · Jiang, Yixing, Lee, Andrew H, Ni, Xiaoyuan et al.2024 · 1 citationAMIA ... Annual Symposium proceedings. AMIA Symposium. 2023;2023:1007-1016
VetLLM: Large Language Model for Predicting Diagnosis from Veterinary Notes.38160274 · Jiang, Yixing, Irvin, Jeremy A, Ng, Andrew Y et al.2024 · 7 citationsPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 2024;29:120-133
USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery2312.02199v1 · Jeremy Irvin, Lucas Tao, Joanne Zhou et al.2023 · 4 citationsarXiv
An Empirical Study of Automated Mislabel Detection in Real World Vision Datasets2312.02200v1 · Maya Srikanth, Jeremy Irvin, Brian Wesley Hill et al.2023 · 0 citationsarXiv
Weakly-semi-supervised object detection in remotely sensed imagery2311.17449v1 · Ji Hun Wang, Jeremy Irvin, Beri Kohen Behar et al.2023 · 1 citationarXiv
GEO-Bench: Toward Foundation Models for Earth Monitoring2306.03831v2 · Alexandre Lacoste, Nils Lehmann, Pau Rodriguez et al.2023 · 39 citationsarXiv
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems2305.08017v1 · Cara Van Uden, Jeremy Irvin, Mars Huang et al.2023 · 0 citationsarXiv
Improving debris flow evacuation alerts in Taiwan using machine learning2208.13027v2 · Yi-Lin Tsai, Jeremy Irvin, Suhas Chundi et al.2022 · 1 citationarXiv
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping2207.11166v2 · Bryan Zhu, Nicholas Lui, Jeremy Irvin et al.2022 · 10 citationsarXiv
A Pragmatic, Stepped-Wedge, Cluster-controlled Clinical Trial of Real-Time Pneumonia Clinical Decision Support.35258444 · Dean, Nathan C, Vines, Caroline G, Carr, Jason R et al.2022 · 32 citationsAmerican journal of respiratory and critical care medicine. 2022;205(11):1330-1336
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark2112.00570v1 · Alexandre Lacoste, Evan David Sherwin, Hannah Kerner et al.2021 · 13 citationsarXiv
CheXED: Comparison of a Deep Learning Model to a Clinical Decision Support System for Pneumonia in the Emergency Department.34561377 · Irvin, Jeremy A, Pareek, Anuj, Long, Jin et al.2022 · 13 citationsJournal of thoracic imaging. 2022;37(3):162-167
Structured dataset documentation: a datasheet for CheXpert2105.03020v1 · Christian Garbin, Pranav Rajpurkar, Jeremy Irvin et al.2021 · 10 citationsarXiv
OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery2011.07227v1 · Hao Sheng, Jeremy Irvin, Sasankh Munukutla et al.2020 · 16 citationsarXiv
CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays2011.06129v1 · Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek et al.2020 · 4 citationsarXiv
ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery2011.05479v1 · Jeremy Irvin, Hao Sheng, Neel Ramachandran et al.2020 · 29 citationsarXiv
Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models2010.04715v2 · Eric Zelikman, Sharon Zhou, Jeremy Irvin et al.2020 · 9 citationsarXiv
Erratum: Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.32793812 · Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon et al.2020 · 12 citationsNPJ digital medicine. 2020;3:102
Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial.32568399 · Rajpurkar, Pranav, Yang, Jingbo, Dass, Nathan et al.2020 · 88 citationsJAMA network open. 2020;3(6):e206653
Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments.32357871 · Irvin, Jeremy A, Kondrich, Andrew A, Ko, Michael et al.2020 · 70 citationsBMC public health. 2020;20(1):608
PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.32352039 · Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon et al.2024 · 191 citationsNPJ digital medicine. 2020;3:61
The properties of children's language are caused by those of their mothers', and vice-versay6q2w_v1 · Fermín Moscoso del Prado Martín, Jeremy Irvin, Daniel Spokoyny2020 · 3 citationsPsyArXiv
AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining.32127625 · Rajpurkar, Pranav, Park, Allison, Irvin, Jeremy et al.2020 · 124 citationsScientific reports. 2020;10(1):3958
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting2002.11379v2 · Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek et al.2020 · 32 citationsarXiv
Erratum: Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis.31840097 · Patel, Bhavik N, Rosenberg, Louis, Willcox, Gregg et al.2020 · 7 citationsNPJ digital medicine. 2019;2:129
Human-machine partnership with artificial intelligence for chest radiograph diagnosis.31754637 · Patel, Bhavik N, Rosenberg, Louis, Willcox, Gregg et al.2020 · 254 citationsNPJ digital medicine. 2019;2:111
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison1901.07031v1 · Jeremy Irvin, Pranav Rajpurkar, Michael Ko et al.2019 · 2,972 citationsarXivon Valency
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.30481176 · Bien, Nicholas, Rajpurkar, Pranav, Ball, Robyn L et al.2019 · 733 citationsPLoS medicine. 2018;15(11):e1002699
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.30457988 · Rajpurkar, Pranav, Irvin, Jeremy, Ball, Robyn L et al.2019 · 1,447 citationsPLoS medicine. 2018;15(11):e1002686
MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs1712.06957v4 · Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul et al.2017 · 254 citationsarXiv
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning1711.05225v3 · Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu et al.2017 · 2,279 citationsarXivon Valency
Career total: 101 works. 37 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.