Publications by authors named "Jared Dunnmon"

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Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks.
Siyi Tang, Amara Tariq, Jared A Dunnmon, Umesh Sharma, Praneetha Elugunti

IEEE J Biomed Health Inform· April 2023

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Independent assessment of a deep learning system for lymph node metastasis detection on the Augmented Reality Microscope.
David Jin, Joseph H Rosenthal, Elaine E Thompson, Jared Dunnmon, Arash Mohtashamian

J Pathol Inform· September 2022

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Separating Hope from Hype: Artificial Intelligence Pitfalls and Challenges in Radiology.
Jared Dunnmon

Radiol Clin North Am· November 2021

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Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset.
Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A Dunnmon

Sci Rep· April 2021

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Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT.
Sabri Eyuboglu, Geoffrey Angus, Bhavik N Patel, Anuj Pareek, Guido Davidzon, Jared Dunnmon

Nat Commun· March 2021

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Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset.
Rebecca Sawyer Lee, Jared A Dunnmon, Ann He, Siyi Tang, Christopher Ré

J Biomed Inform· January 2021

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Erratum: Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L Ball, Jared Dunnmon

NPJ Digit Med· July 2020

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Cross-Modal Data Programming Enables Rapid Medical Machine Learning.
Jared A Dunnmon, Alexander J Ratner, Khaled Saab, Nishith Khandwala, Matthew Markert

Patterns (N Y)· May 2020

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Weak supervision as an efficient approach for automated seizure detection in electroencephalography.
Khaled Saab, Jared Dunnmon, Christopher Ré, Daniel Rubin, Christopher Lee-Messer

NPJ Digit Med· April 2020

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PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L Ball, Jared Dunnmon

NPJ Digit Med· April 2020

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Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging.
Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré

Proc ACM Conf Health Inference Learn (2020)· April 2020

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Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences.
Jason A Fries, Paroma Varma, Vincent S Chen, Ke Xiao, Heliodoro Tejeda, Jared Dunnmon

Nat Commun· July 2019

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Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs.
Jared A Dunnmon, Darvin Yi, Curtis P Langlotz, Christopher Ré, Daniel L Rubin

Radiology· February 2019

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Training Complex Models with Multi-Task Weak Supervision.
Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey

Proc AAAI Conf Artif Intell· January 2019

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Snorkel MeTaL: Weak Supervision for Multi-Task Learning.
Alex Ratner, Braden Hancock, Jared Dunnmon, Roger Goldman, Christopher Ré

Proc Second Workshop Data Manag End End Mach Learn (2018)· June 2018

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Learning to Compose Domain-Specific Transformations for Data Augmentation.
Alexander J Ratner, Henry R Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré

Adv Neural Inf Process Syst· December 2017

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