Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer’s Disease-Reference-Cited by-同舟云学术

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Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer’s Disease

Published:2021-08 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 9th International Conference on Healthcare Informatics (ICHI)
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Author:

Fedorov Alex,Sylvain Tristan,Geenjaar Eloy,Luck Margaux,Wu Lei,DeRamus Thomas P.,Kirilin Alex,Bleklov Dmitry,Calhoun Vince D.,Plis Sergey M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9565698/9565699/09565782.pdf?arnumber=9565782

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound;BMC Medical Imaging;2024-04-06

2. Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training;Computers in Biology and Medicine;2024-03

3. Combining multimodal connectivity information improves modelling of pathology spread in Alzheimer’s disease;Imaging Neuroscience;2024-02

4. Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links;NeuroImage;2024-01

5. SceneComposer: Any-Level Semantic Image Synthesis;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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