posted by organizer: zhangyudong || 3422 views || tracked by 3 users: [display]

EDLTMBE 2020 : Emerging Deep Learning Theories and Methods for Biomedical Engineering - IEEE Access (IF: 4.098)

FacebookTwitterLinkedInGoogle

Link: https://ieeeaccess.ieee.org/special-sections/emerging-deep-learning-theories-and-methods-for-biomedical-engineering
 
When N/A
Where N/A
Abstract Registration Due Jul 31, 2020
Submission Deadline Aug 31, 2020
Notification Due Oct 1, 2020
Final Version Due Nov 1, 2020
Categories    deep learning   biomedical engineering   transfer learning   artificial intelligence
 

Call For Papers

IEEE Access invites manuscript submissions in the area of Emerging Deep Learning Theories and Methods for Biomedical Engineering.

The accelerating power of deep learning in diagnosing disease and analyzing medical data will empower physicians and speed up decision-making in clinical environments. Applications of modern medical instruments and digitalization of medical care have generated large amounts of biomedical information in recent years. However, new AI methods and computational models for efficient data processing, analysis, and modeling with the generated data is important for clinical applications and in understanding the underlying biological process.

Deep learning has rapidly developed in recent years, in terms of both methodological development and practical applications. It provides computational models of multiple processing layers to learn and represent data with various levels of abstraction. It can implicitly capture intricate structures of large-scale data and is ideally suited to some of the hardware architectures that are currently available.

The purpose of this Special Section aims to provide a diverse, but complementary, set of contributions to demonstrate new theories, techniques, developments, and applications of Deep learning, and to solve emerging problems in biomedical engineering.

The ultimate goal of this Special Section is to promote research and development of deep learning for multimodal & multidimensional signals in biomedical engineering by publishing high-quality research articles and reviews in this rapidly growing interdisciplinary field.

The topics of interest include, but are not limited to:

• Theoretical understanding of deep learning in biomedical engineering
• Transfer learning and multi-task learning
• Joint Semantic Segmentation, Object Detection and Scene Recognition on biomedical images
• Improvising on the computation of a deep network; exploiting parallel computation techniques and GPU programming
• Multimodal imaging techniques: data acquisition, reconstruction; 2D, 3D, 4D imaging, etc.
• Translational multimodality imaging and biomedical applications (e.g., detection, diagnostic analysis, quantitative measurements, image guidance of ultrasonography)
• Optimization by deep neural networks, multi-dimensional deep learning
• New model or new structure of convolutional neural network
• Visualization and explainable deep neural network
• Missing data imputation for multi-source biomedical data
• Sparse screening, feature screening, feature merging, quality assessment for biomedical data

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility and downloads of articles.

Related Resources

Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
IJCAI 2022   31st International Joint Conference on Artificial Intelligence
ICADCML 2022   3rd International Conference on Advances in Distributed Computing and Machine Learning - 2022
CFMAI 2021   2021 3rd International Conference on Frontiers of Mathematics and Artificial Intelligence (CFMAI 2021)
DLIS 2022   Deep Learning for IoT Security - Frontiers in Big Data Journal
EI-CFAIS 2021   2021 International Conference on Frontiers of Artificial Intelligence and Statistics (CFAIS 2021)
ACM--ICDLT--Ei, Scopus 2022   ACM--2022 6th International Conference on Deep Learning Technologies (ICDLT 2022)--Ei Compendex, Scopus
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
ICAART 2022   14th International Conference on Agents and Artificial Intelligence
DL-ASAP 2022   Pattern Recognition Letters | Deep Learning for Acoustic Sensor Array Processing