Concepedia

Author

Curtis P. Langlotz

Stanford UniversityORCID

Also Known As

C Langlotz, C P Langlotz, C. Langlotz, C. P. Langlotz, C.P. Langlotz, CURTIS P. LANGLOTZ, Chaudhari, Akshay, Curtis Langlotz, Curtis P Langlotz, Curtis P. Langlotz

326

Publications

20.4K

Citations

66

H-Index

208

Concepts

All Affiliations

Stanford UniversityUniversity of PennsylvaniaHospital of the University of PennsylvaniaMassachusetts General HospitalStanford Medicine
CP

About

Curtis P. Langlotz is an author at Stanford University specializing in engineering, radiology, and medical imaging.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

33

50

6.4K

2

Health Sciences

23

36

4.2K

3

Arts

2

2

84

4

Business

1

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21

5

Education

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65

Curtis P. Langlotz

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151

Publications

17.5K

Citations

60

H-Index

YearCitations

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep\n Learning

Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu,

arXiv (Cornell University)

2017

1.4K

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

Pranav Rajpurkar, Jeremy Irvin, Robyn L. Ball,

PLoS Medicine

2018

1.3K

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu,

arXiv (Cornell University)

2017

1.3K

Video-based AI for beat-to-beat assessment of cardiac function

David Ouyang, Bryan He, Amirata Ghorbani,

Nature

2020

939

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

Nicholas Bien, Pranav Rajpurkar, Robyn L. Ball,

PLoS Medicine

2018

703

Adapted large language models can outperform medical experts in clinical text summarization

Dave Van Veen, Cara Van Uden, Louis Blankemeier,

Nature Medicine

2024

542

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs

David B. Larson, Matthew C. Chen, Matthew P. Lungren,

Radiology

2017

448

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Jeremy Irvin, Pranav Rajpurkar, Michael Ko,

Proceedings of the AAAI Conference on Artificial Intelligence

2019

391

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Curtis P. Langlotz, Bibb Allen, Bradley J. Erickson,

Radiology

2019

350

Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning

Ekin Tiu, Ellie Talius, Pujan R. Patel,

Nature Biomedical Engineering

2022

337

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