posted by user: zhangyudong || 729 views || tracked by 2 users: [display]

RADLMT 2022 : 3rd International Workshop on Recent advances in deep learning methods and techniques for medical image analysis

FacebookTwitterLinkedInGoogle

Link: http://www.ic-icc.cn/2022/Workshop.htm#ss1
 
When Aug 7, 2022 - Aug 11, 2022
Where Xi'an, China
Abstract Registration Due Jun 1, 2022
Submission Deadline Jul 1, 2022
Notification Due Jul 15, 2022
Final Version Due Jul 15, 2022
Categories    deep learning   artificial intelligence
 

Call For Papers

With the advancement in biomedical imaging, the amount of data generated is increasing in biomedical engineering. For example, data can be generated by multimodality image techniques, e.g., ranging from Computed Tomography (CT), Magnetic Resonance Imaging (MR), Ultrasound, Single Photon Emission Computed Tomography (SPECT), and Positron Emission Tomography (PET), to Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy, etc. This poses a great challenge to develop new advanced imaging methods and computational models for efficient data processing, analysis, and modeling in clinical applications and understanding the underlying biological process. In recent years, deep learning is a rapidly advancing field in terms of both methodological development and practical applications. It allows computational models of multiple processing layers to learn and represent data with multiple levels of abstraction. It can implicitly capture intricate structures of large-scale data and is ideally suited to some of the hardware architectures currently available. The focus of this workshop is to carry out the research article, which could be more focused on the latest medical image analysis techniques based on Deep learning. In recent years, researchers have widely used the Deep Learning method and its variants. This Issue intends to bring new DL algorithms with some Innovative Ideas and find out the core problems in medical image analysis. Recommended topics include (but are not limited to) the following:

Application 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
New models or new structures of the convolutional neural network
Visualization and explainable deep neural network

Organizers:
Yu-Dong Zhang, UK
University of Leicester
Email:yudongzhang@ieee.org

Chenxi Huang
Xiamen University, China
Email: supermonkeyxi@xmu.edu.cn

Related Resources

ICDM 2022   22nd IEEE International Conference on Data Mining
MBE 2022   Special Issue: Computational methods and biomedical application for single-cell omics data analysis
CFMAI 2022   2022 4th International Conference on Frontiers of Mathematics and Artificial Intelligence (CFMAI 2022)
INS -SI - Fuzzy DL in Medicine 2022   Information Science Journal Special Issue on Recent Advances in Fuzzy Deep Learning for Uncertain Medicine Data
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
RAMFP 2022   TAA (OA) - SI: Recent Advances on Metric Fixed Point Theory 2022
ICMLA 2022   IEEE International conference on Machine Learning and Applications
WSPML 2022   2022 4rd International Workshop on Signal Processing and Machine Learning (WSPML 2022)
NLDL 2023   Northern Lights Deep Learning Conference 2023
EI-CFAIS 2022   2022 International Conference on Frontiers of Artificial Intelligence and Statistics (CFAIS 2022)