Computational and Mathematical Methods in Medicine

Biomedical Signal and Image Processing for Clinical Decision Support Systems 2014


Publishing date
13 Feb 2015
Status
Published
Submission deadline
26 Sep 2014

Lead Editor

1University of Michigan, Ann Arbor, USA

2McMaster University, Hamilton, Canada


Biomedical Signal and Image Processing for Clinical Decision Support Systems 2014

Description

Biomedical signal and image processing methods have recently focused on forming computational tools for clinical decision support. These tools have had a tremendous impact on healthcare and its economics. The success of these methodologies in clinical applications has often been attributed to an interdisciplinary nature that combines knowledge of biology/medicine with methods in computational sciences. The fast growth of monitoring and imaging methods calls for more specialized biomedical signal and image processing algorithms to process the data collected by the existing and emerging patient monitoring and imaging systems. During the last few decades, the vital role of biomedical signal and image processing methods in emerging fields of life sciences such as translational medicine has been further recognized. With this in mind we are editing a special issue of Computational and Mathematical Methods in Medicine, updating current status and advancements of methods in biomedical signal and image processing, in particular their applications in clinical decision support systems. We encourage authors to submit original papers as well as review articles related to advancing the design and clinical applications of these computational methods. In particular, since biomedical signal and image processing are at the junction of computer science, electrical engineering, applied mathematics, medicine, biology, and healthcare technology, we are interested in the latest results of state-of-the-art interdisciplinary projects in the field.

Potential topics include, but are not limited to:

  • Novel computational approaches in signal and image processing methods and their applications in computer-aided clinical decision support systems
  • Signal and image processing for telemedicine and telesurgery
  • Digital and video microscopy, cell analysis, and cytometry
  • Processing and analysis of X-ray, CT, NMR, PET, SPECT, digital radiology and mammography, and other imaging systems
  • Processing of ECG, EEG, EMG, EOG, blood pressure, and other physiological signals
  • Analysis of fMRI for research and clinical applications
  • Using biomedical signal and image processing
  • Machine learning methods used for biomedical signal and image analysis
  • Signal and image processing methods for analysis of genomic and proteomic data, applications in personalized medicine, and clinical decision support systems

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 974592
  • - Editorial

Biomedical Signal and Image Processing for Clinical Decision Support Systems 2014

Kayvan Najarian | Kevin R. Ward | Shahram Shirani
  • Special Issue
  • - Volume 2015
  • - Article ID 265138
  • - Research Article

Breast Cancer Detection with Reduced Feature Set

Ahmet Mert | Niyazi Kılıç | ... | Aydin Akan
  • Special Issue
  • - Volume 2015
  • - Article ID 607407
  • - Research Article

Color Enhancement in Endoscopic Images Using Adaptive Sigmoid Function and Space Variant Color Reproduction

Mohammad S. Imtiaz | Khan A. Wahid
  • Special Issue
  • - Volume 2015
  • - Article ID 693484
  • - Research Article

Segmentation and Tracking of Lymphocytes Based on Modified Active Contour Models in Phase Contrast Microscopy Images

Yali Huang | Zhiwen Liu
  • Special Issue
  • - Volume 2015
  • - Article ID 148534
  • - Research Article

Fractional Diffusion Based Modelling and Prediction of Human Brain Response to External Stimuli

Hamidreza Namazi | Vladimir V. Kulish
  • Special Issue
  • - Volume 2015
  • - Article ID 829893
  • - Research Article

A Unified Framework for Brain Segmentation in MR Images

S. Yazdani | R. Yusof | ... | M. Bennamoun
  • Special Issue
  • - Volume 2015
  • - Article ID 789485
  • - Research Article

A Method for Lung Boundary Correction Using Split Bregman Method and Geometric Active Contour Model

Changli Feng | Jianxun Zhang | Rui Liang
  • Special Issue
  • - Volume 2015
  • - Article ID 389057
  • - Research Article

Developing an Intelligent Automatic Appendix Extraction Method from Ultrasonography Based on Fuzzy ART and Image Processing

Kwang Baek Kim | Hyun Jun Park | ... | Sang-suk Han
  • Special Issue
  • - Volume 2015
  • - Article ID 527815
  • - Research Article

Developing a New Computer-Aided Clinical Decision Support System for Prediction of Successful Postcardioversion Patients with Persistent Atrial Fibrillation

Mark Sterling | David T. Huang | Behnaz Ghoraani
  • Special Issue
  • - Volume 2015
  • - Article ID 157825
  • - Research Article

High Order Statistics and Time-Frequency Domain to Classify Heart Sounds for Subjects under Cardiac Stress Test

Ali Moukadem | Samuel Schmidt | Alain Dieterlen
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate32%
Submission to final decision46 days
Acceptance to publication39 days
CiteScore3.400
Impact Factor1.770
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