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Jared Dunnmon

Showing results (1-10 of 11) with videos related to

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Radiologic Clinics of North America|October 25, 2021
Separating Hope from Hype: Artificial Intelligence Pitfalls and Challenges in RadiologyJared Dunnmon
Proceedings of the ACM Conference on Health, Inference, and Learning|November 16, 2020
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical ImagingLuke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, et al.
Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning. Workshop on Data Management for End-To-End Machine Learning (2Nd : 2018 : Houston, Tex.)|April 2, 2019
Snorkel MeTaL: Weak Supervision for Multi-Task LearningAlex Ratner, Braden Hancock, Jared Dunnmon, et al.
NPJ Digital Medicine|May 1, 2020
Weak supervision as an efficient approach for automated seizure detection in electroencephalographyKhaled Saab, Jared Dunnmon, Christopher Ré, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|October 1, 2019
Training Complex Models with Multi-Task Weak SupervisionAlexander Ratner, Braden Hancock, Jared Dunnmon, et al.
Advances in Neural Information Processing Systems|January 30, 2018
Learning to Compose Domain-Specific Transformations for Data AugmentationAlexander J Ratner, Henry R Ehrenberg, Zeshan Hussain, et al.
Nature Communications|March 26, 2021
Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CTSabri Eyuboglu, Geoffrey Angus, Bhavik N Patel, et al.
Journal of Pathology Informatics|January 6, 2023
Independent assessment of a deep learning system for lymph node metastasis detection on the Augmented Reality MicroscopeDavid Jin, Joseph H Rosenthal, Elaine E Thompson, et al.
Nature Communications|July 17, 2019
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequencesJason A Fries, Paroma Varma, Vincent S Chen, et al.
NPJ Digital Medicine|August 15, 2020
Erratum: Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imagingShih-Cheng Huang, Tanay Kothari, Imon Banerjee, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Radiologic Clinics of North America|October 25, 2021
Separating Hope from Hype: Artificial Intelligence Pitfalls and Challenges in RadiologyJared Dunnmon
Proceedings of the ACM Conference on Health, Inference, and Learning|November 16, 2020
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical ImagingLuke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, et al.
Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning. Workshop on Data Management for End-To-End Machine Learning (2Nd : 2018 : Houston, Tex.)|April 2, 2019
Snorkel MeTaL: Weak Supervision for Multi-Task LearningAlex Ratner, Braden Hancock, Jared Dunnmon, et al.
NPJ Digital Medicine|May 1, 2020
Weak supervision as an efficient approach for automated seizure detection in electroencephalographyKhaled Saab, Jared Dunnmon, Christopher Ré, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|October 1, 2019
Training Complex Models with Multi-Task Weak SupervisionAlexander Ratner, Braden Hancock, Jared Dunnmon, et al.
Advances in Neural Information Processing Systems|January 30, 2018
Learning to Compose Domain-Specific Transformations for Data AugmentationAlexander J Ratner, Henry R Ehrenberg, Zeshan Hussain, et al.
Nature Communications|March 26, 2021
Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CTSabri Eyuboglu, Geoffrey Angus, Bhavik N Patel, et al.
Journal of Pathology Informatics|January 6, 2023
Independent assessment of a deep learning system for lymph node metastasis detection on the Augmented Reality MicroscopeDavid Jin, Joseph H Rosenthal, Elaine E Thompson, et al.
Nature Communications|July 17, 2019
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequencesJason A Fries, Paroma Varma, Vincent S Chen, et al.
NPJ Digital Medicine|August 15, 2020
Erratum: Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imagingShih-Cheng Huang, Tanay Kothari, Imon Banerjee, et al.
Pageof 2