Tag Archives: Image processing

12 Day Short Term Biomedical Training Program in Mumbai

VIT, Biomedical Department is organizing an AICTE-ISTE approved Two-Week Graded STTP on ‘Recent Innovations in Healthcare Technology ’ from 18th June 2012 to 29th June 2012.

This course is open for faculty as well as students.

The course would cover Theory and Practical sessions on the following topics:

Biomedical Project Exhibition in Coimbatore, TamilNadu

*Students of Biomedical Engineering can visit the exhibition on the below mentioned dates. This post will also give you an idea of what you can work on in your final year project.

(6-7 April, 2012)
Venue: Product Development Center, PSG College of Technology
Visitors’ Time: 10:00 a.m to 6:00 p.m.

MATLAB Workshop on Image processing in Chennai

          3 Day Programme


9 – 11 March 2012

Mrs.T.Catherine Bina
Head, Computer Centre


Anna University, Chennai
Organized by
Computer Centre
MIT Campus, Anna University,
Chennai-600 044
Tamil Nadu, INDIA.

R&D Biomedical Engineer Job in NBRC, Gurgaon

NATIONAL BRAIN RESEARCH CENTRE (NBRC), Manesar-122 050, Gurgaon,  requires a “R&D Engineer” for Brain Image Processing.
Interested candidates fulfilling the following requirement can submit their bio-data alongwith
attested copies of certificates in support of their qualifications and experience mentioned in
the bio-data latest by 25th January 2012 to

“The Registrar, National Brain Research
Centre, Nainwal Mode, Manesar-122 050, Distt- Gurgaon (Haryana)
Minimum qualification : M.Tech / MS (Electrical / Electronic /Computer Science / Chemical) or Ph.D. in Physical Science / Mathematics
Desirable quality : Expertise in Matlab coding
Compulsory requirement :

Lecture notes : Algortihms used for Medical Image Processing

This course has two components. On the one hand, it is an introduction to digital image analysis presenting selected fundamental problems in medical image analysis, computer vision, photo/video editing, and graphics. We cover such basic concepts as image segmentation, registration, object recognition/matching, tracking, texture, etc. On the other hand, this is an applied course on standard computer science algorithms where students develop practical understanding of dynamic programming, graph based algorithms, computational geometry methods, etc. In fact, image analysis provides a stimulating environment for studying algorithms as their outputs can be intuitively visualized. Students with previous background in algorithms will be exposed to applications in image analysis, while students already familiar with problems in imaging will learn efficient methods based on standard CS algorithms. The course emphasizes the design, analysis, and implementation of algorithms in the context of 2D/3D medical images, photo and video data.

Biomedical Lab Manager Job in GE Global Research

Image representing GE as depicted in CrunchBase


GE Corporate
Global Research
At GE Global Research we redefine what’s possible, finding answers to some of the world’s toughest problems. Find out more at http://twitter.com/geresearchjobs and www.ge.com/research , and connect with our technologists at http://www.edisonsdesk.com and http://twitter.com/edisonsdesk .

GE Global Research (GRC) is the central research arm for the GE company and is one of the oldest and most diverse industrial research labs. It performs strategic and longer-term R&D for all GE businesses, in addition to providing technology development and R&D support for new product introduction. It employs roughly 2,000 employees at five global locations in almost every scientific and engineering discipline.

GRC has played a central role in the growth and expansion of the Healthcare business through breakthrough innovation and critical technology development. From the invention of the first practical x-ray tube, the first 1.5T clinical MR scanner, the first digital x-ray imager and numerous inventions in MRI, CT and Ultrasound to more recent programs in areas such as physiological monitoring, cell therapy technologies and molecular pathology, GRC has often laid the technology foundation for the growth of GE Healthcare. GRC also plays a central role in identifying adjacent spaces for business growth and often spearheads technology development in these spaces to establish a footprint for the business.

Personalization in healthcare has been identified as a key growth area for GE Healthcare (GEHC) and GRC is playing a key role in this regard. There are on-going, multi-disciplinary programs in digital and molecular pathology, tissue imaging, circulating tumor cells, diagnostic gene sequencing, diagnostic imaging (MRI, CT, PET, Ultrasound), physiological monitoring (ECG, US, EEG, etc.) and informatics approaches to identify clinically relevant biosignatures.

Biomedical signal processing will play a central role in this initiative with breakthroughs resulting in novel, portable imaging modalities for many applications including tissue characterization, instrument design and development for gathering and analyzing physiological data for patient care and life support solutions. Signal processing also plays a key role in emerging applications of next generation CT, MRI and Ultrasound imaging. Markers generated by signal processing and image analysis algorithms will feed into biosignature algorithms along with –omics data to answer biological questions such as risk of cardiovascular disease, recurrence of cancer, etc.

The Biomedical Signal Analysis Lab works on challenging signal processing problems in the biomedical domain. Specific interests include making Ultrasound cheaper, simpler and smarter , algorithms for new imaging modalities and novel clinical applications. The lab’s core expertise includes Signal Processing, Image Analysis, Biomedical Image Processing, Pattern Recognition, Inverse Problems in Imaging, Machine Learning and expertise in Ultrasound systems.

Lab Manager, Biomedical Signal Analysis Lab
Functional Management
This role is that of the Lab Manager of the Biomedical Signal Analysis Lab in the BioSignatures and Signal Processing Technology Organization of the Diagnostics & Biomedical Technologies Domain at GE Global Research. Specific interests include making Ultrasound cheaper, simpler and smarter , algorithms for new imaging modalities and novel clinical applications.
As the Lab Manager for the Biomedical Signal Analysis Lab, you will:

  • Grow a world class research lab of 15-20 researchers in biomedical signal analysis with focus on Low Cost Ultrasound systems, Ultrasound Image and Signal Processing, Physiological monitoring and advanced biomedical signal processing algorithms for novel imaging modalities and clinical applications.
  • Provide and expand technical leadership in signal & image processing for Ultrasound, Physiological monitoring and Industrial Image Analysis
  • Interface closely with product and marketing teams in the GE Healthcare businesses
  • Drive technology program execution and technology transition to business, meeting deliverables, budgets, and schedules
  • Hire, nurture and retain world class talent.
  • Represent and promote GE’s standing in the biomedical signal processing technical community with presentations and publications in leading conferences and journals.
  • Mentor, coach and develop team members; staff interdisciplinary teams by drawing appropriate talent from across GE
  • Develop networks in GE businesses, and with external commercial customers
MS/PhD with 6+ years experience in Biomedical Engineering, Computer Science, Electrical Engineering, or a related field
Experience in engineering research and development.
Proven expertise in biomedical signal processing, image analysis, and/or imaging systems
Proven track record of top-notch publications and patents.
Demonstrated success in leading large and complex global project teams with strong technical leadership
Demonstrated success in working with engineering and marketing leadership teams.
Excellent communication skills and experience making executive presentations
PhD in Biomedical Engineering, Electrical Engineering, Computer Science or related field – specializing in biomedical signal processing algorithms, signal processing or control algorithms, or Ultrasound systems.
At least 7 years of relevant experience in Ultrasound, or Physiological monitoring.
Experience in signal processing or control algorithms working with EEG, ECG, Ultrasound, Respiratory, Anaesthesia signals.
Experience in setting up a lab of ultrasound and other monitoring equipment and development of new clinical applications.
Proven ability to build and energize high-performance global teams with line management experience
Experience in Industrial R& D setting