Multi-Task Deep Learning and Uncertainty Estimation for Pet Head Motion Correction-Reference-Cited by-同舟云学术

Multi-Task Deep Learning and Uncertainty Estimation for Pet Head Motion Correction

Published:2023-04-18 Issue: Volume: Page:
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Container-title:2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
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Author:

Lieffrig Eléonore V.¹,Zeng Tianyi¹,Zhang Jiazhen²,Fontaine Kathryn¹,Fang Xi³,Revilla Enette⁴,Lu Yihuan⁵,Onofrey John A.¹

Affiliation:

1. Yale University,Department of Radiology and Biomedical Imaging,New Haven,CT,USA

2. Yale University,Department of Biomedical Engineering,New Haven,CT,USA

3. Yale University,Department of Psychiatry,New Haven,CT,USA

4. University of California,Davis,CA,USA

5. United Imaging Healthcare,Shanghai,China

Funder

National Institute of Biomedical Imaging and Bioengineering

Publisher

IEEE

Link

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2. Feature-wise transformations;dumoulin;Distillation,2018

3. Dropout as a bayesian approximation: Representing model uncertainty in deep learning;gal;ICML 2016 33rd International Conf Machine Learning,2016

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