Computational and Mathematical Methods in Medicine

Biomedical Signal and Image Processing for Clinical Decision Support Systems


Publishing date
25 Oct 2013
Status
Published
Submission deadline
07 Jun 2013

Lead Editor

1Department of Computer Science, Biomedical Signal and Image Processing Center, Virginia Commonwealth University, Richmond, VA, USA

2Department of Emergency Medicine, Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, USA

3Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada


Biomedical Signal and Image Processing for Clinical Decision Support Systems

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

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/cmmm/bsip/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 578320
  • - Editorial

Biomedical Signal and Image Processing for Clinical Decision Support Systems

Kayvan Najarian | Kevin R. Ward | Shahram Shirani
  • Special Issue
  • - Volume 2013
  • - Article ID 864854
  • - Research Article

Smart Spotting of Pulmonary TB Cavities Using CT Images

V. Ezhil Swanly | L. Selvam | ... | K. L. Shunmuganathan
  • Special Issue
  • - Volume 2013
  • - Article ID 658501
  • - Research Article

Identifying Patients with Poststroke Mild Cognitive Impairment by Pattern Recognition of Working Memory Load-Related ERP

Xiaoou Li | Yuning Yan | Wenshi Wei
  • Special Issue
  • - Volume 2013
  • - Article ID 909625
  • - Research Article

Unsupervised Cardiac Image Segmentation via Multiswarm Active Contours with a Shape Prior

I. Cruz-Aceves | J. G. Avina-Cervantes | ... | M. A. Ibarra-Manzano
  • Special Issue
  • - Volume 2013
  • - Article ID 264809
  • - Research Article

Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning

Yen-Wei Chen | Jie Luo | ... | Shuzo Kanasaki
  • Special Issue
  • - Volume 2013
  • - Article ID 231762
  • - Research Article

Multiscale Cross-Approximate Entropy Analysis as a Measurement of Complexity between ECG R-R Interval and PPG Pulse Amplitude Series among the Normal and Diabetic Subjects

Hsien-Tsai Wu | Chih-Yuan Lee | ... | An-Bang Liu
  • Special Issue
  • - Volume 2013
  • - Article ID 205384
  • - Research Article

Computer Aided Detection of Breast Density and Mass, and Visualization of Other Breast Anatomical Regions on Mammograms Using Graph Cuts

Nafiza Saidin | Harsa Amylia Mat Sakim | ... | Ibrahim Lutfi Shuaib
  • Special Issue
  • - Volume 2013
  • - Article ID 479516
  • - Research Article

A Hybrid Method for Pancreas Extraction from CT Image Based on Level Set Methods

Huiyan Jiang | Hanqing Tan | Hiroshi Fujita
  • Special Issue
  • - Volume 2013
  • - Article ID 958398
  • - Research Article

Liver Segmentation Based on Snakes Model and Improved GrowCut Algorithm in Abdominal CT Image

Huiyan Jiang | Baochun He | ... | Hiroshi Fujita
  • Special Issue
  • - Volume 2013
  • - Article ID 650463
  • - Research Article

Tracking Lung Tumors in Orthogonal X-Rays

Feng Li | Fatih Porikli
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate38%
Submission to final decision60 days
Acceptance to publication38 days
CiteScore1.840
Impact Factor1.563
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