Advanced Deep Learning Methods for Biomedical Information Analysis (ADLMBIA)

  in Special Issue   Posted on June 27, 2019

Information for the Special Issue

Submission Deadline: Wed 30 Oct 2019
Journal Impact Factor : 2.005
Journal Name : Machine Vision and Applications
Journal Publisher:
Website for the Special Issue: http://www.springer.com/cda/content/document/cda_downloaddocument/Call+for+Paper_MVA_2018.pdf?SGWID=0-0-45-1646825-p1009251
Journal & Submission Website: http://www.springer.com/computer+science/image+processing/journal/138

Special Issue Call for Papers:

Scopes (but are not limited to) the following:
• 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 of New Structure of convolutional neural network
• Visualization and Explainable deep neural network

Closed Special Issues