Dynamical systems modeling of the child-mother dyad: Causality between child-directed language complexity and language development. - Jeremy Irvin; Daniel Spokoyny; Fermín Moscoso del Prado Martín (CogSci, 2016)

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. - Pranav Rajpurkar; Jeremy Irvin; Kaylie Zhu; Brandon Yang; Hershel Mehta; Tony Duan; Daisy Yi Ding; Aarti Bagul; Curtis P. Langlotz; Katie S. Shpanskaya; Matthew P. Lungren; Andrew Y. Ng (CoRR, 2017)

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs. - Pranav Rajpurkar; Jeremy Irvin; Aarti Bagul; Daisy Yi Ding; Tony Duan; Hershel Mehta; Brandon Yang; Kaylie Zhu; Dillon Laird; Robyn L. Ball; Curtis P. Langlotz; Katie S. Shpanskaya; et al. (CoRR, 2017)

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. - Jeremy Irvin; Pranav Rajpurkar; Michael Ko; Yifan Yu 005; Silviana Ciurea-Ilcus; Christopher Chute; Henrik Marklund; Behzad Haghgoo; Robyn L. Ball; Katie S. Shpanskaya; Jayne Seekins; David A. Mong; et al. (AAAI, 2019)

Human-machine partnership with artificial intelligence for chest radiograph diagnosis. - Bhavik N. Patel; Louis B. Rosenberg; Gregg Willcox; David Baltaxe; Mimi Lyons; Jeremy Irvin; Pranav Rajpurkar; Timothy Amrhein; Rajan Gupta; Safwan Halabi; Curtis P. Langlotz; Edward Lo; et al. (npj Digit. Medicine, 2019)

Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis. - Bhavik N. Patel; Louis B. Rosenberg; Gregg Willcox; David Baltaxe; Mimi Lyons; Jeremy Irvin; Pranav Rajpurkar; Timothy Amrhein; Rajan Gupta; Safwan Halabi; Curtis P. Langlotz; Edward Lo; et al. (npj Digit. Medicine, 2019)

CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting. - Pranav Rajpurkar; Anirudh Joshi; Anuj Pareek; Phil Chen; Amirhossein Kiani; Jeremy Irvin; Andrew Y. Ng; Matthew P. Lungren (CoRR, 2020)

Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models. - Eric Zelikman; Sharon Zhou; Jeremy Irvin; Cooper Raterink; Hao Sheng 003; Jack Kelly; Ram Rajagopal; Andrew Y. Ng; David John Gagne II (CoRR, 2020)

ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery. - Jeremy Irvin; Hao Sheng 003; Neel Ramachandran; Sonja Johnson-Yu; Sharon Zhou; Kyle Story; Rose Rustowicz; Cooper Elsworth; Kemen Austin; Andrew Y. Ng (CoRR, 2020)

CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays. - Pranav Rajpurkar; Anirudh Joshi; Anuj Pareek; Jeremy Irvin; Andrew Y. Ng; Matthew P. Lungren (CoRR, 2020)

OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery. - Hao Sheng 003; Jeremy Irvin; Sasankh Munukutla; Shawn Zhang; Christopher Cross; Kyle Story; Rose Rustowicz; Cooper Elsworth; Zutao Yang; Mark Omara; Ritesh Gautam; Robert B. Jackson; et al. (CoRR, 2020)

PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. - Shih-Cheng Huang; Tanay Kothari; Imon Banerjee; Christopher Chute; Robyn L. Ball; Norah Borus; Andrew Huang; Bhavik N. Patel; Pranav Rajpurkar; Jeremy Irvin; Jared Dunnmon; Joseph Bledsoe; et al. (npj Digit. Medicine, 2020)

Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. - Shih-Cheng Huang; Tanay Kothari; Imon Banerjee; Christopher Chute; Robyn L. Ball; Norah Borus; Andrew Huang; Bhavik N. Patel; Pranav Rajpurkar; Jeremy Irvin; Jared Dunnmon; Joseph Bledsoe; et al. (npj Digit. Medicine, 2020)

Structured dataset documentation: a datasheet for CheXpert. - Christian Garbin; Pranav Rajpurkar; Jeremy Irvin; Matthew P. Lungren; Oge Marques (CoRR, 2021)

Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. - Alexandre Lacoste; Evan David Sherwin; Hannah Kerner; Hamed Alemohammad; Björn Lütjens; Jeremy Irvin; David Dao; Alex Chang; Mehmet Gunturkun; Alexandre Drouin; Pau Rodríguez; David Vázquez 001 (CoRR, 2021)

METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping. - Bryan Zhu; Nicholas Lui; Jeremy Irvin; Jimmy Le; Sahil Tadwalkar; Chenghao Wang 005; Zutao Ouyang; Frankie Y. Liu; Andrew Y. Ng; Robert B. Jackson (CDCEO@IJCAI, 2022)

Improving debris flow evacuation alerts in Taiwan using machine learning. - Yi-Lin Tsai; Jeremy Irvin; Suhas Chundi; João Estacio Gaspar Araujo; Andrew Y. Ng; Christopher B. Field; Peter K. Kitanidis (CoRR, 2022)

GEO-Bench: Toward Foundation Models for Earth Monitoring. - Alexandre Lacoste; Nils Lehmann; Pau Rodríguez; Evan D. Sherwin; Hannah Kerner; Björn Lütjens; Jeremy Irvin; David Dao; Hamed Alemohammad; Alexandre Drouin; Mehmet Gunturkun; Gabriel Huang; et al. (NeurIPS, 2023)

How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems. - Cara Van Uden; Jeremy Irvin; Mars Huang; Nathan Dean; Jason Carr; Andrew Y. Ng; Curtis P. Langlotz (CoRR, 2023)

Weakly-semi-supervised object detection in remotely sensed imagery. - Ji Hun Wang; Jeremy Irvin; Beri Kohen Behar; Ha Tran; Raghav Samavedam; Quentin Hsu; Andrew Y. Ng (CoRR, 2023)

USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery. - Jeremy Irvin; Lucas Tao; Joanne Zhou; Yuntao Ma; Langston Nashold; Benjamin Liu; Andrew Y. Ng (CoRR, 2023)

An Empirical Study of Automated Mislabel Detection in Real World Vision Datasets. - Maya Srikanth; Jeremy Irvin; Brian Wesley Hill; Felipe Godoy; Ishan Sabane; Andrew Y. Ng (CoRR, 2023)

CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds. - Muhammad Ahmed Chaudhry; Lyna Kim; Jeremy Irvin; Yuzu Ido; Sonia Chu; Jared Thomas Isobe; Andrew Y. Ng; Duncan Watson-Parris (CoRR, 2024)

Many-Shot In-Context Learning in Multimodal Foundation Models. - Yixing Jiang; Jeremy Irvin; Ji Hun Wang; Muhammad Ahmed Chaudhry; Jonathan H. Chen; Andrew Y. Ng (CoRR, 2024)

A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning. - Yuntao Ma; Hiva Ghanbari; Tianyuan Huang; Jeremy Irvin; Oliver Brady; Sofian Zalouk; Hao Sheng 003; Andrew Y. Ng; Ram Rajagopal; Mayur Narsude (IEEE Trans. Intell. Transp. Syst., 2024)

TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data. - Jeremy Andrew Irvin; Emily Ruoyu Liu; Joyce Chuyi Chen; Ines Dormoy; Jinyoung Kim; Samar Khanna; Zhuo Zheng; Stefano Ermon (ICLR, 2025)