|Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning|
P Rajpurkar, J Irvin, K Zhu, B Yang, H Mehta, T Duan, D Ding, A Bagul, ...
arXiv preprint arXiv:1711.05225, 2017
|CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison|
J Irvin, P Rajpurkar, M Ko, Y Yu, S Ciurea-Ilcus, C Chute, H Marklund, ...
Thirty-Third AAAI Conference on Artificial Intelligence, 2019
|Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists|
P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang, H Mehta, T Duan, D Ding, ...
PLoS medicine 15 (11), e1002686, 2018
|Deep-learning-assisted diagnosis for knee magnetic resonance imaging: development and retrospective validation of MRNet|
N Bien, P Rajpurkar, RL Ball, J Irvin, A Park, E Jones, M Bereket, BN Patel, ...
PLoS medicine 15 (11), e1002699, 2018
|MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs|
P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, ...
1st Conference on Medical Imaging with Deep Learning, 2018
|Human–machine partnership with artificial intelligence for chest radiograph diagnosis|
BN Patel, L Rosenberg, G Willcox, D Baltaxe, M Lyons, J Irvin, ...
NPJ digital medicine 2 (1), 1-10, 2019
|Radiology SWARM: novel crowdsourcing tool for CheXNet algorithm validation|
S Halabi, M Lungren, L Rosenberg, D Baltaxe, B Patel, J Seekins, ...
SiiM Conference on Machine Intelligence in Medical Imaging, 2018
|Dynamical systems modeling of the child-mother dyad: Causality between child-directed language complexity and language development.|
J Irvin, D Spokoyny, FM del Prado Martin
|PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging|
SC Huang, T Kothari, I Banerjee, C Chute, RL Ball, N Borus, A Huang, ...
npj Digital Medicine 3 (1), 1-9, 2020
|AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining|
P Rajpurkar, A Park, J Irvin, C Chute, M Bereket, D Mastrodicasa, ...
Scientific reports 10 (1), 1-7, 2020
|CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting|
P Rajpurkar, A Joshi, A Pareek, P Chen, A Kiani, J Irvin, AY Ng, ...
arXiv preprint arXiv:2002.11379, 2020
|Recurrent Neural Networks with Attention for Genre Classification|
J Irvin, E Chartock, N Hollander
Stanford University, 2016
|Evaluation of a machine learning model based on pretreatment symptoms and electroencephalographic features to predict outcomes of antidepressant treatment in adults with …|
P Rajpurkar, J Yang, N Dass, V Vale, AS Keller, J Irvin, Z Taylor, S Basu, ...
JAMA network open 3 (6), e206653-e206653, 2020
|Autoregressive attention for parallel sequence modeling|
D Laird, J Irvin
Technical report, Stanford University, 2017
|Explicit Causal Connections between the Acquisition of Linguistic Tiers: Evidence from Dynamical Systems Modeling|
D Spokoyny, J Irvin, FM del Prado Martin
Proceedings of the 7th Workshop on Cognitive Aspects of Computational …, 2016
|Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments|
JA Irvin, AA Kondrich, M Ko, P Rajpurkar, B Haghgoo, BE Landon, ...
BMC Public Health 20, 1-10, 2020
|FLUXNET Methane Synthesis: Modeling Wetland Methane Fluxes from Sites to the Globe|
G McNicol, E Fluet-chouinard, Z Zhang, J Irvin, S Zhou, F Lu, A Kondrich, ...
AGUFM 2019, B13O-2502, 2019
|Real-time electronic interpretation of digital chest images using artificial intelligence in emergency department patients suspected of pneumonia|
N Dean, JA Irvin, PS Samir, A Jephson, K Conner, MP Lungren
European Respiratory Journal 54 (suppl 63), 2019
|Using Satellite Imagery to Predict Health|
J Irvin, D Laird, P Rajpurkar
|The properties of children's language are caused by those of their mothers', and vice-versa|
FM del Prado Martín, J Irvin, D Spokoyny