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WSDLA 2022 : Special Issues on Weakly-Supervised Deep Learning and its Applications

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Link: https://www.embs.org/ojemb/articles/call-for-papers-special-issues-on-weakly-supervised-deep-learning-and-its-applications/
 
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Abstract Registration Due Nov 20, 2022
Submission Deadline Nov 30, 2022
Notification Due Dec 30, 2022
Final Version Due May 1, 2023
Categories    biomedical data analysis   weakly-supervised deep learnin   graph neural networks   vision transformer
 

Call For Papers

Call for Papers: Special Issues on Weakly-Supervised Deep Learning and its Applications
October 18, 2022

To address biomedical data analysis tasks by learning from noisy, limited, or imprecise expert annotations, researchers have recently started to develop weakly-supervised deep learning (WSDL) techniques, which are of great interest in the field of biomedical engineering. WSDL can not only significantly relieve the human efforts for annotating structured biomedical data (such as signals, images, and videos) but also enable the corresponding deep neural network models to learn from much larger-scale data with a reduced annotation cost.

With the fast growth of advanced deep learning techniques, such as generative adversarial networks (GAN), graph neural networks (GNN), vision transformers (ViT), and deep reinforcement learning (DRL) models, research studies started to focus on solving problems in WSDL and applying WSDL techniques to biomedical analysis tasks.

Topics for this Special Issue include, but are not limited to:
– DRL-based WSDL and its applications to the biomedical field.
– GAN-based WSDL and its applications to the biomedical field.
– GNN-based WSDL and its applications to the biomedical field.
– Graph Convolutional Network-based WSDL and its applications to the biomedical field.
– Methodological studies on WSDL and its applications to the biomedical field.
– Multi-modal WSDL theory and its applications to the biomedical field.
– Multi-task WSDL theory and its applications to the biomedical field.
– Robust WSDL theory and framework and its applications to the biomedical field.
– Spatial/temporal WSDL and its applications to the biomedical field.
– ViT-based WSDL and its applications to the biomedical field.

Guest Editor: Yu-Dong Zhang – yudongzhang@ieee.org
University of Leicester

Submission Information:
November 30, 2022

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