Matthew P Lungren

发表

MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

Steven Horng, Nathaniel R. Greenbaum, Alistair E. W. Johnson, 2019, Scientific Data.

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification

Oladimeji Farri, Yuan Ling, Sadid A. Hasan, 2019, Artif. Intell. Medicine.

Prospective Deployment of Deep Learning in MRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices

Shreyas S Vasanawala, Matthew P Lungren, Christopher M. Sandino, 2020, Journal of magnetic resonance imaging : JMRI.

Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT

Jared Dunnmon, Jared A. Dunnmon, Geoffrey Angus, 2021, Nature Communications.

Production-level Open Source Privacy Preserving Inference in Medical Imaging pdf

Nishanth Chandran, Matthew P Lungren, Pratik Bhatu, 2021, ArXiv.

Corrigendum: Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions

Tina Hernandez-Boussard, Matthew P Lungren, Nigam Shah, 2021, J. Am. Medical Informatics Assoc..

AI recognition of patient race in medical imaging: a modelling study pdf

Saptarshi Purkayastha, Marzyeh Ghassemi, Leo Anthony Celi, 2021, The Lancet. Digital health.

Multi-Institution Encrypted Medical Imaging AI Validation Without Data Sharing

Nishanth Chandran, Matthew P Lungren, Pratik Bhatu, 2021, SSRN Electronic Journal.

TorchXRayVision: A library of chest X-ray datasets and models pdf

Joseph Paul Cohen, Mohammad Hashir, Joseph D. Viviano, 2021, MIDL.

OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations pdf

Jared Dunnmon, Jared A. Dunnmon, Akshay Chaudhari, 2021, arXiv.org.

Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework.

Nigam H Shah, Matthew P Lungren, Curtis P Langlotz, 2020, Radiology.

Using support vector machines to optimally classify rotator cuff strength data and quantify post-operative strength in rotator cuff tear patients.

Kai-Nan An, Richard E Hughes, Matthew P Lungren, 2006, Journal of biomechanics.

Self-referral in medical imaging: a meta-analysis of the literature.

Huiman X Barnhart, Sandra S Stinnett, Matthew P Lungren, 2011, Journal of the American College of Radiology : JACR.