Intelligent Pattern Recognition Applications for Computer Vision and Biomedical Signal Processing

in Special Issue   Posted on July 21, 2016 

Information for the Special Issue

Submission Deadline: Tue 01 Nov 2016
Journal Impact Factor : 3.255
Journal Name : Pattern Recognition Letters
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

Recent studies have found intelligent pattern recognition applications for computer vision and biomedical signal processing can be used to solve variety of real life problems. Computer vision and biomedical signal processing has rapidly transitioned from a research topic with few commercial applications to a mainstream technology with applications in virtually every sector of our economy. The integration of computer vision and biomedical signal processing technologies has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. It is foreseeable that intelligent pattern recognition applications will be the main approach of the next generation. The explosive number of intelligent pattern recognition algorithms and increasing computational power of computers has significantly extended the number of potential intelligent pattern recognition applications for computer vision and biomedical signal processing.

Computer vision mainly involves the study of extracting information from images captured using robot vision, smart video surveillance, multi-media image search, camera-based human computer interfaces. Biomedical signal processing involves the analysis of heart rate, blood pressure, oxygen saturation levels, blood glucose, nerve conduction and brain activity to provide useful information upon which clinicians can make decisions. It further emphasis on practical, applications-led research on the use of methods and devices in clinical diagnosis, patient monitoring and management. This special issue intends to bring together researchers and developers from academic fields and industries worldwide working in the broad areas of computer vision and biomedical signal processing and promote community-wide discussion of ideas that will influence and foster continued research in the field for the betterment of human mankind.

Recommended topics include (but are not limited to) the following:

Deep Learning and Convolutional Neural Networks
Biomedical Signal Processing and Brain-Computer Interface
Computational Imaging and Video Matting
Genomic Signal Processing and Statistical Signal Processing
Computer-Aided Diagnosis and Quantitative Image Analysis
Signal Processing in Proteomics and Compressive Sensing
Human Face Recognition and Gait Recognition
Time-Frequency Analysis and Representation
Big Data and Semantic segmentation
Cardiovascular Signals and Electromagnetic fields in medicine
Physiological Processes and Bio-signal Modeling, Non-linear Dynamics

Important dates

Start of submission period: November 1st, 2016
Deadline for submission: November 30th, 2016
First review notification: February 1st, 2017
Revision submission: March 31st, 2017
Second review notification: August 1st, 2017
Final notification to authors: September 15th, 2017
Online Publication: October 2017

Paper submission:

Papers will be evaluated based on their originality, presentation, relevance and novelty, as well as their suitability to the special issue, and for their overall quality, giving preference to those with accompanying data, demo, and software. Author guidelines for preparation of manuscript can be found at:

The submission website for this journal is located at: To ensure that all manuscripts are correctly identified for inclusion into the special issue, it is important that authors select “SI: IPRABSP” when they reach the “Article Type Name” step in the submission process. Note that a maximum of 10 pages in the Journal layout is admitted for special issue papers.

Review process

Guest editors will make an initial determination of the suitability and scope of all submissions. The review process will be done by following the standard review process of Pattern Recognition Letters. Each paper will be reviewed by at least two experts in the field. In general, only two reviewing rounds will be possible, out of which major revision is possible only for the first round. Papers that after the 2nd reviewing round still need major revision will be rejected.

Guest Editors

Roshan Joy Martis (Managing Guest Editor)
Vivekananda College of Engineering & Technology, India

Varadraj Prabhu Gurupur
University of Central Florida, USA

Hong Lin
University of Houston Downtown, USA

Steven Lawrence Fernandes
Sahyadri College of Engineering & Management, India

List of potential contributors:

Dr. Manumalek, Stevens University, USA
Dr. Chen Gao, Tufts University, UK
Dr. Vijay John, Toyota Technological Institute, Nagoya, Japan
Dr. Claudio Moraga, European Center for Soft Computing, Spain
Dr. Ramjee Prasad, Aalborg University, Denmark
Dr. G. Josemin Bala, Karunya University, India
Dr. Goutam Chattopadhyay, California Institute of Technology, California
Dr. Mario Pavone, University of Catania, Italy
Dr. Amir Nakib, Texas A&M University, France
Dr. Wei-Chang Yeh, National Tsing Hua University, Taiwan
Dr. Rajendra Udyavara Acharya, Ngee Ann Polytechnic, Singapore
Dr. Nikos Mastorakis, Technical University, Sofia
Dr. Jan Norum, UiT – The Arctic University of Norway, Norway
Dr. Lijljana Trajkovic, Simon Fraser University, Canada
Dr. Mussarat Abdullah, COMSATS Institute of Information Technology, Pakistan
Dr. Ye Zheng, Chinese Academy of Sciences, China
Dr. Ajit Danti, King Khalid University, Saudi Arabia
Dr. Mario Koeppen, Kyushu Institute of Technology, Japan
Dr. Jesper Tranekjær, Nuclear Medicine & PET, Denmark
Dr. Ajith Abraham, MIR Labs, USA
Dr. Vikrant Bhateja, Shri Ramswaroop Memorial College of Engineering, India
Dr. Nik Bessis, Edge Hill University, UK
Dr. Muhammad Sharif, COMSATS Institute of Information Technology, Pakistan,
Dr. Antonio D. Masegosa, University of Deusto, Spain
Dr. Peter Hancock, University of Stirling, UK

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