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Jeremy Irvin
Jeremy Irvin
PhD Candidate, Stanford University
Verified email at cs.stanford.edu - Homepage
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Cited by
Year
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
29662017
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
22262019
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
10612018
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
5772018
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
3632018
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
1642019
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
109*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
802020
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
542020
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
472020
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
452021
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
362020
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
362020
Structured dataset documentation: a datasheet for CheXpert
C Garbin, P Rajpurkar, J Irvin, MP Lungren, O Marques
arXiv preprint arXiv:2105.03020, 2021
262021
Artificial intelligence in radiology residency training
MC Forney, AF McBride
Seminars in Musculoskeletal Radiology 24 (01), 74-80, 2020
242020
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
212021
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
192020
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) 2, 2019
192019
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
152020
Geo-bench: Toward foundation models for earth monitoring
A Lacoste, N Lehmann, P Rodriguez, E Sherwin, H Kerner, B Lütjens, ...
Advances in Neural Information Processing Systems 36, 2024
142024
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