Jeremy Irvin
Jeremy Irvin
PhD Candidate, Stanford University
Verified email at - Homepage
Cited by
Cited by
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), 111, 2019
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), 61, 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), 3958, 2020
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
Forestnet: Classifying drivers of deforestation in indonesia using deep learning on satellite imagery
J Irvin, H Sheng, N Ramachandran, S Johnson-Yu, S Zhou, K Story, ...
arXiv preprint arXiv:2011.05479, 2020
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands
J Irvin, S Zhou, G McNicol, F Lu, V Liu, E Fluet-Chouinard, Z Ouyang, ...
Agricultural and forest meteorology 308, 108528, 2021
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
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
Structured dataset documentation: a datasheet for CheXpert
C Garbin, P Rajpurkar, J Irvin, MP Lungren, O Marques
arXiv preprint arXiv:2105.03020, 2021
Toward foundation models for earth monitoring: Proposal for a climate change benchmark
A Lacoste, ED Sherwin, H Kerner, H Alemohammad, B Lütjens, J Irvin, ...
arXiv preprint arXiv:2112.00570, 2021
Ognet: Towards a global oil and gas infrastructure database using deep learning on remotely sensed imagery
H Sheng, J Irvin, S Munukutla, S Zhang, C Cross, K Story, R Rustowicz, ...
arXiv preprint arXiv:2011.07227, 2020
Short-term solar irradiance forecasting using calibrated probabilistic models
E Zelikman, S Zhou, J Irvin, C Raterink, H Sheng, A Avati, J Kelly, ...
arXiv preprint arXiv:2010.04715, 2020
Deepwind: Weakly supervised localization of wind turbines in satellite imagery
S Zhou, J Irvin, Z Wang, E Zhang, J Aljubran, W Deadrick, R Rajagopal, ...
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019
A pragmatic, stepped-wedge, cluster-controlled clinical trial of real-time pneumonia clinical decision support
NC Dean, CG Vines, JR Carr, JG Rubin, BJ Webb, JR Jacobs, AM Butler, ...
American Journal of Respiratory and Critical Care Medicine 205 (11), 1330-1336, 2022
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 392, 2018
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