AN
Andrew Y. Ng
cs.LGcs.CVcs.AIeess.IVcs.CLstat.MLstat.APcs.NEcs.HCphysics.med-ph
On Valency
published · living versionsW_xe24gwhn·v1 · currentpublished
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
with Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu +15
1 version
W_4bw3veuq·v1published
W_svtxnew3·v1published
W_rk3e7h7w·v1published
Preprints & journals
82 papers in the corpus · 1997–2026Prefix Sliding for efficient test-time scaling2608.26070v1 · Niklas Muennighoff, Zhengyang Wang, Zeyi Chen et al.2026 · 0 citationsarXiv
Spatiotemporal Pyramid Flow Matching for Climate Emulation2512.02268v1 · Jeremy Andrew Irvin, Jiaqi Han, Zikui Wang et al.2025 · 0 citationsarXiv
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology.41953104 · Subramanian, Barathi, Jeyaraj, Rathinaraja, Peterson, Mitchell Nevin et al.2026 · 1 citationArXiv. 2025
UQ: Assessing Language Models on Unsolved Questions2508.17580v1 · Fan Nie, Ken Ziyu Liu, Zihao Wang et al.2025 · 1 citationarXiv
Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis2411.18602v2 · Eva Prakash, Jeya Maria Jose Valanarasu, Zhihong Chen et al.2024 · 2 citationsProceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, October 2025, pages 4413-4421
Many-Shot In-Context Learning in Multimodal Foundation Models2405.09798v2 · Yixing Jiang, Jeremy Irvin, Ji Hun Wang et al.2024 · 6 citationsarXiv
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation2404.17033v1 · Tanvi Deshpande, Eva Prakash, Elsie Gyang Ross et al.2024 · 0 citationsarXiv
Unlocking Robust Segmentation Across All Age Groups via Continual Learning2404.13185v1 · Chih-Ying Liu, Jeya Maria Jose Valanarasu, Camila Gonzalez et al.2024 · 2 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
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
Comparing Prognostic Factors of Cancers Identified by Artificial Intelligence (AI) and Human Readers in Breast Cancer Screening.37370680 · Oberije, Cary J G, Sharma, Nisha, James, Jonathan J et al.2024 · 9 citationsCancers. 2023;15(12)
Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload.38416889 · Ng, Annie Y, Glocker, Ben, Oberije, Cary et al.2024 · 28 citationsJournal of breast imaging. 2023;5(3):267-276
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
A proof of concept for a deep learning system that can aid embryologists in predicting blastocyst survival after thaw.36477633 · Marsh, P, Radif, D, Rajpurkar, P et al.2022 · 13 citationsScientific reports. 2022;12(1):21119
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
DataPerf: Benchmarks for Data-Centric AI Development2207.10062v4 · Mark Mazumder, Colby Banbury, Xiaozhe Yao et al.2022 · 59 citationsarXiv
A novel workflow for the safe and effective integration of AI as supporting reader in double reading breast cancer screening: A large-scale retrospective evaluation10.1101/2022.06.22.22276751v1 · Ng, A. Y., Glocker, B., Oberije, C. et al.2022 · 2 citationsmedRxiv
Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia2201.01449v1 · Jon Braatz, Pranav Rajpurkar, Stephanie Zhang et al.2022 · 6 citationsarXiv
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management2108.01764v1 · C'ecile Log'e, Emily Ross, David Yaw Amoah Dadey et al.2021 · 12 citationsarXiv
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports2106.14463v3 · Saahil Jain, Ashwin Agrawal, Adriel Saporta et al.2021 · 124 citationsarXiv
Improving hospital readmission prediction using individualized utility analysis.34087428 · Ko, Michael, Chen, Emma, Agrawal, Ashwin et al.2021 · 15 citationsJournal of biomedical informatics. 2021;119:103826
Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond2105.02489v1 · Tianyuan Huang, Zhecheng Wang, Hao Sheng et al.2021 · 8 citationsarXiv
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations2106.04452v2 · Bryan Gopal, Ryan W. Han, Gautham Raghupathi et al.2021 · 16 citationsarXiv
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation2104.00793v3 · Saahil Jain, Akshay Smit, Andrew Y. Ng et al.2021 · 4 citationsarXiv
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning2103.14339v1 · Akshay Smit, Damir Vrabac, Yujie He et al.2021 · 4 citationsarXiv
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays2103.09957v3 · Emma Chen, Andy Kim, Rayan Krishnan et al.2021 · 2 citationsarXiv
CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays2103.04590v2 · Siyu Shi, Ishaan Malhi, Kevin Tran et al.2021 · 3 citationsarXiv
Retrospective large-scale evaluation of an AI system as an independent reader for double reading in breast cancer screening10.1101/2021.02.26.21252537v2 · Sharma, N., Ng, A. Y., James, J. J. et al.2021 · 17 citationsmedRxiv
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation2102.10484v2 · Soham Gadgil, Mark Endo, Emily Wen et al.2021 · 10 citationsarXiv
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation2102.10663v2 · Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar et al.2021 · 63 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
GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video2010.15269v2 · Viswesh Krishna, Anirudh Joshi, Philip L. Bulterys et al.2020 · 1 citationarXiv
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models2010.05352v3 · Hari Sowrirajan, Jingbo Yang, Andrew Y. Ng et al.2020 · 46 citationsarXiv
Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models2010.04715v2 · Eric Zelikman, Sharon Zhou, Jeremy Irvin et al.2020 · 9 citationsarXiv
CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness2007.06199v2 · Nick A. Phillips, Pranav Rajpurkar, Mark Sabini et al.2020 · 22 citationsarXiv
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology2006.03680v5 · Sharon Zhou, Eric Zelikman, Fred Lu et al.2020 · 10 citationsarXiv
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
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture2005.03743v1 · Hao Sheng, Xiao Chen, Jingyi Su et al.2020 · 40 citationsarXiv
The 1st Agriculture-Vision Challenge: Methods and Results2004.09754v2 · Mang Tik Chiu, Xingqian Xu, Kai Wang et al.2020 · 24 citationsarXiv
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT2004.09167v3 · Akshay Smit, Saahil Jain, Pranav Rajpurkar et al.2020 · 103 citationsarXiv
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
Deep Learning for the Digital Pathologic Diagnosis of Cholangiocarcinoma and Hepatocellular Carcinoma: Evaluating the Impact of a Web-based Diagnostic Assistant1911.07372v1 · Bora Uyumazturk, Amirhossein Kiani, Pranav Rajpurkar et al.2019 · 11 citationsarXiv
NGBoost: Natural Gradient Boosting for Probabilistic Prediction1910.03225v4 · Tony Duan, Anand Avati, Daisy Yi Ding et al.2019 · 312 citationsarXiv
Tackling Climate Change with Machine Learning1906.05433v2 · David Rolnick, Priya L. Donti, Lynn H. Kaack et al.2019 · 1,357 citationsarXiv
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
Improving palliative care with deep learning.30537977 · Avati, Anand, Jung, Kenneth, Harman, Stephanie et al.2019 · 445 citationsBMC medical informatics and decision making. 2018;18(Suppl 4):122
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