Dr. Kakadiaris recently delivered a keynote lecture at CIARP 2009 titled "Challenges and opportunities for extracting cardiovascular risk biomarkers from non-contrast CT data". CIARP is the Iberoamerican Congress on Pattern Recognition, and took place in Guadalajara, Mexico, Nov. 15-18 2009.

CIARP 2009 is organized by the Mexican Association for Computer Vision, Neural Computing and Robotics (MACVNR), supported by IAPR and sponsored by and other five PR iberoamerican PR societies. CIARP 2009, as all the thirteen previous conferences, was a fruitful forum for the exchange of scientific results and experiences, as well as the sharing of new knowledge, and the increase of the co-operation between research groups in pattern recognition and related areas.

More details about Dr. Kakadiaris' keynote lecture can be found at http://www.gdl.cinvestav.mx/ciarp2009/invitedspeakers.php.

"Partial matching of interpose 3D facial data for face recognition," a conference paper by CBL members G. Passalis, P. Perakis, T. Theoharis, G. Toderici, and I.A. Kakadiaris, has been chosen as a Best-Reviewed Paper at the 3rd IEEE International Conference on Biometrics: Theory, Applications and Systems taking place in Arlington, VA at the end of September. For a complete list of CBL publications, see our publications page.

CBL members Dat Chu, Michael Fang, and Eleni Sgouritsa have been awarded 2009 scholarships from the College of Natural Science and Mathematics Alumni Association. Dat and Michael are PhD students working on the URxD face recognition project, and Eleni is a PhD student working on the CAPETA project. The awards recognize the scholarship, leadership, and civic and community involvement of these dedicated lab members.

Congratulations to Dr. Mavroforakis, Research Assistant Professor at CBL, on being awarded the IEEE Transactions on Neural Networks 2006 Outstanding Paper Award (bestowed in 2008) for the paper: M.E. Mavroforakis and S. Theodoridis, "A geometric approach to support vector machine classification", IEEE Transactions on Neural Networks, Vol. 17, No. 3, May 2006, pp. 671-682. This award recognizes outstanding papers published in the IEEE Transactions on Neural Networks.

Dr. Mavroforakis, Research Assistant Professor at CBL, has been chosen to receive the very prestigious "2010 IEEE Computational Intelligence Society Outstanding PhD Dissertation Award". This award recognizes outstanding Ph.D. dissertations that have contributed to the advancement of the theory and/or applications of computational intelligence.

The title of Dr. Mavroforakis' dissertation is "Geometric Approach to Statistical Learning Theory through Support Vector Machines with Application to Medical Diagnosis".

Pumps and Pipes is a unique collaborative effort between Houston's largest industries to explore potential crossover ideas and extract shared technologies. Houston, one of the US's largest and fastest-growing cities, is closely tied with its two primary industries: medicine and energy. Combined with Houston's higher education community, the city is home to world-class research.

Pumps and Pipes 3 will be held on December 7, 2009 at the University of Houston. The theme for Pumps and Pipes 3 is “Better Together,” and focuses on how inter-disciplinary research between the medicine and energy industries can lead to exciting benefits in both sectors.

Sponsoring members include ExxonMobil, the Methodist DeBakey Heart and Vascular Center and the University of Houston. Program directors are Bill E. Kleine (ExxonMobil), Alan B. Lumsden (Methodist DeBakey Heart and Vascular Center) and Ioannis A. Kakadiaris (University of Houston).

Pumps and Pipes 3 (official page)

You can now follow CBL on twitter to hear about lab news, job openings, research advances and more! Find us at http://twitter.com/uh_cbl.

The following papers by CBL members have been accepted for publications at international conferences this summer and fall:

• D.R. Chittajallu, G. Brunner, U. Kurkure, R. Yalamanchili, and I.A. Kakadiaris, "Fuzzy-cuts: A knowledge-driven graph-based method for medical image segmentation," in Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, Jun. 20-25 2009.
• D.R. Chittajallu, P. Balança, and I.A. Kakadiaris, "Automatic delineation of the inner thoracic region in non-contrast CT data," in Proc. 31st International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, Sep. 2-6 2009.
• I.A. Kakadiaris, U. Kurkure, E.G. Mendizabal-Ruiz, and M. Naghavi, "Towards cardiovascular risk stratification using imaging data," in Proc. 31st International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, Sep. 2-6 2009.
• E.G. Mendizabal-Ruiz, G. Biros, and I.A. Kakadiaris, "An inverse scattering algorithm for the segmentation of the luminal border on intravascular ultrasound data," in Proc. 12th International Conference on Medical Image Computing and Computer Assisted Intervention, London, UK, Sep. 20-24 2009.
• S. Tan and I.A. Kakadiaris, "Kernel active contour," in Proc. 12th IEEE International Conference on Computer Vision, Kyoto, Japan, Sep. 29 - Oct. 2 2009.

Congratulations to all on the publication of these papers!

A quote by Mr. Dat Chu, Research Assistant at the Computational Biomedicine Lab, about Intel Parallel Amplifier appears in their final product brief.

"Thanks Intel, you guys rock! I decided to give Parallel Amplifier a run. I was delighted when it pointed me to the right source line that was taking much of the time. I made the change, and voilá our app is now almost 10 times faster. The GUI is very easy to use in my opinion." - Dat Chu, Research Assistant, Computational Biomedicine Lab, University of Houston

On Saturday March 28, 2009, members of CBL will be making presentations at Frontier Fiesta about the research and accomplishments of the group. There will be half-hour presentations from 11am - 5pm made by graduate students and research scientists with the group on topics in biometrics and biomedicine, with topics ranging from early heart attack risk detection to facial recognition. Come out and hear about some of the work being done by our group members! Please see the Frontier Fiesta website (http://www.uh.edu/fiesta/) for more information about location, hours, and other Frontier Fiesta activities.

Ms. Eleni Sgouritsa, PhD student at the Computational Biomedicine Lab working on the CAPETA project, won a 2009 Hellenic Professional Society of Texas Scholarship as a recognition for her scholarly achievements.

Pumps and Pipes is a unique collaborative effort between Houston's largest industries to explore potential crossover ideas and extract shared technologies. Houston, one of the US's largest and fastest-growing cities, is closely tied with its two primary industries: medicine and energy. Combined with Houston's higher education community, the city is home to world-class research.

Pumps and Pipes 2 will be held on December 8, 2008 at the University of Houston. The theme for Pumps and Pipes 2 is “The Other Guy’s Toolkit,” and focuses on “tools” which a presenter from one sector, medicine or energy, believes could have an application in the other industry. These tools will range from modifications of existing equipment or practices to visionary out-of-the-box paradigm shifts.

Sponsoring members include ExxonMobil, the Methodist DeBakey Heart and Vascular Center and the University of Houston.

Using the Other Guy’s Toolkit: Similarities of Pumping Blood, Oil Examined (UH Press Release)
Pumps and Pipes 2 (Methodist page)
Pumps and Pipes 2 (official page)

The National Science Foundation has recently awarded $780,000 to a team of researchers including Prof. Kakadiaris (Co-Principal Investigator) from the Computational Biomedicine Lab, Prof. Tao Ju (Principal Investigator) from the Dept. of Computer Science and Engineering at Washington University in St. Luis and Dr. James Carson from the Pacific Northwest National Laboratory. The award is entitled "Building Geometric Databases for Anatomy-Based Spatial Queries".

The use of biological imaging in science continues to grow, and it has thus become critical to many research efforts to be able to efficiently utilize the enormous resources of spatial information being generated. The aim of this grant is to develop an atlas-based database architecture suited for organizing 3D anatomical images for efficient spatial queries. Utilizing a new form of atlas, the project will develop tools for accurate and efficient alignment of 3D images collected from a large number of subjects with varying anatomical shapes. The resulting database will facilitate convenient, web-based spatial queries of functional, metabolic, mechanical, and structural data within customizable regions of interest among stored images. As a test-bed application, the project will construct two web-based databases of 3D gene expression patterns for the mouse brain and heart from stacks of 2D tissue sections. The gene expression databases resulted from the project will enable querying and clustering of genes based on similarity of 3D expression patterns, which may lead to significant breakthroughs in understanding biological processes.

Applications are invited for a Research Scientist / Research Assistant Professor position at the Computational Biomedicine Lab (http://www.cbl.uh.edu), University of Houston in the area of Face Recognition.

CBL's Face recognition software (URxD) ranked first in the 3D-shape section of the recent Face Recognition Vendor Test (FRVT) organized by NIST (http://www.uh.edu/admin/media/nr/2007/07july/073007urxd.html). The Computational Biomedicine Lab provides a unique interdisciplinary research environment with internationally recognized collaborators. The position entails research in novel biometrics (http://www.cbl.uh.edu/URxD). The candidate will benefit from mentorship of a diverse research team and will be exposed to cutting-edge technology.

Applicants should have a doctoral degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field. The successful applicant will have solid research, interpersonal, and communication skills. Prior biometrics experience is required.

The position is open immediately and the salary compensation is very competitive. For consideration, please submit your application preferably in one single PDF-document including cover letter, a full CV, a statement of research interests and career goals and the names and email addresses of three references to ioannisk@uh.edu, with subject line "PDF/RSP: (your name)".

For more information please email Prof. Kakadiaris (ioannisk@uh.edu).

Kiplinger has selected Houston as it's overall #1 Best City to Live, Work, and Play for 2008 and Forbes as Top 5 Up & Coming Tech City, #1 City for Recent College Grads, and #3 City for Young Professionals. Houston offers an outstanding environment for research and professional opportunities for growth and collaboration. UH is an equal employment opportunity employer and smoke-free environment. Women and minority candidates are strongly encouraged to apply.

The Computational Biomedicine Lab (CBL) is a research group whose research is motivated by fundamental open problems in the broad areas of biomedical computing and biometrics, with emphasis on applications that address some of society’s greatest challenges. This summer, CBL is mentoring three high school and two undergraduate students in projects designed to encourage scientific exploration and learning.

Undergraduates participating in this summer research program with CBL are funded by the National Science Foundation (NSF) through a Research Experiences for Undergraduates (REU) site grant (http://www.cbl.uh.edu/~reu/) to the University of Houston Department of Computer Science. The high school students are involved on a volunteer basis.

Each student is mentored by Professor Ioannis Kakadiaris and a research scientist or a graduate student guiding the intern in his or her endeavors. This summer the projects involve creating a virtual environment of surveillance cameras, facial recognition from sketches, and analysis of computed tomography images. The students are learning scientific programming languages and software, such as MATLAB and 3D Studio MAX.

Sam Messina, a senior at Cinco Ranch High School working on 3D animation of camera control, was surprised and happy with how fast he could learn the software and create a complex animation. Zach L'Anglois, a junior at the Academy of Science and Health Professions at Conroe High School working on a similar project, looks forward to extending his work this summer to a school science project.

For Sachin Subramanian, a senior at Bellaire High School, interaction with a mentor while working on a project is a good fit with his self-directed learning style. He wants to study aerospace engineering and knows that learning MATLAB this summer will help him in college. Hossam Abdelmunim, CBL research scientist who co-mentored Sachin, is impressed by Sachin’s motivation and independent learning.

Scott Wood, a computer science student at Harding University, is working on a project involving facial recognition in sketches. Being exposed to research in biometrics has been a valuable experience and will help him decide if he will pursue graduate school after he finishes his degree. Michael Fang, graduate student at CBL and a first-time co-mentor, says he admires Scott’s willingness to learn and how much he has accomplished.

For Bárbara E. Morales-Quiñones, a computer engineering student at the University of Puerto Rico, this research internship has been a great experience. She’s working on detecting lower boundaries of the heart with dynamic programming using CT data and is enthusiastic about this immersion in biomedical image analysis. She likes photography and images and “integrating something I enjoy with something I know how to do, like programming.” Barbara is looking forward to continuing in academia after she graduates. Deepak Chittajallu, graduate student at CBL, is Barbara’s co-mentor. “I wish I had had something like it when I was an undergrad, ” he says.

Professor Kakadiaris, who is overseeing CBL’s summer research program, is excited with the progress of all the students. “It’s about their own exploration,” he says. “We provide the students with a scientific playground where they can learn about the research process and develop skills in the areas that interest them.”

This is the fourth year that CBL has had mentored summer research students, and Professor Kakadiaris anticipates many more successful summers. “Experiences like this change people’s lives,” he says. “We need more young people studying science and engineering, and this program is a great way to get them excited about research in these areas.”

Prof. Theoharis (and co-authors) have just published an outstanding textbook titled 'Graphics & Visualization: Principles & Algorithms'. This 750 page book is a comprehensive introduction to visual computing, dealing with the modeling and synthesis of visual data by means of computers. What sets this book apart from other computer graphics texts is the integrated coverage of computer graphics and visualization topics, including important techniques such as subdivision and multi-resolution modeling, scene graphs, shadow generation, ambient occlusion, and scalar and vector data visualization. Students and practitioners will benefit from the comprehensive coverage of the principles that are the basic tools of their trade, from fundamental computer graphics and classic visualization techniques to advanced topics. The publisher is AK Peters, Wellesley, MA.

Prof. Kakadiaris, Eckhard Pfeiffer Professor, and Prof. Shah, Assistant Professor, in collaboration with Prof. Jejelowo (Texas Southern University) received an ARP award of $149,944 for two years for their proposal "Video-Based Surveillance in Distributed Environments". In addition, Prof. Kakadiaris in collaboration with Prof. Loveland (UT Health Science Center at Houston) received an ARP award of $149,751 for two years for their proposal "Facial Expression Analysis Using 6D Data: Application to Autism". The Texas ARP 2007 program funded 121 proposals out of a total of 1952 proposal submissions. The funding rate was about 6%. Nine awards were made in the computer science area and similarly nine awards were made in the Engineering area. More...

Ms.Barbara Morales-Quinones (University of Puerto Rico,Mayaguez Campus) and Mr.Scott Wood (Harding University, Searcy,Arkansas), participants of the UHCS REU 2008 program, have joined the Computational Biomedicine Lab for the summer to perform research in the areas of biomedical image analysis and biometrics, respectively.

This section features topics ranging from local community outreach to regional economic impact and on to research discoveries that change the world. Please visit UH Marking Our Mark page for more information.

We are proud to announce that Uday Kurkure, a CBL lab member, has successfully defended his doctoral dissertation. Two other lab members, Dat Chu and Olga Avila-Montes, have also completed their Bachelor degrees.

The deadline for paper submission to the IEEE 5th International Conference on Advanced Video and Signal-based Surveillance (AVSS 2008) has been extended to March 12, 2008. Dr. Kakadiaris serves as Program Co-Chair for this conference.

CBL's Face recognition work was featured in the 2008 UH President's Annual Report. Click here for more on the report - "Facial Recognition Software Excels in Government Testing".

Dr. Kakadiaris to deliver a lecture co-sponsored by the Rice Institute of Bioscience and Bioengineering and the Ken Kennedy Institute for Information Technology on March 18, 2008.

Dr. Kakadiaris gave an invited talk at the Houston Society for Engineering in Medicine and Biology (HSEMB) Conference held on Feb 07, 2008. The oral session involved the talk on "In-vivo Imaging of Coronary Neovascularization" - Medical Imaging & Image Analysis I. Click here for more on HSEMB 08 - Preliminary Program in Medical Imaging and Image Analysis.

The National Science Foundation (NSF) awarded a REU Site grant to the Computer Science Department of the University of Houston recently. The REU program supports active research participation by undergraduate students during the summer for the next three years. In addition to the $310,001 provided by the NSF, the University also committed $126,000 to the project bringing the budget total to $436,001. This is the second REU awarded to the group of computer science professors consisting of Drs. Huang, Leiss, Kakadiaris, Pavlidis, and Verma.
More...

Drs.Brunner and Santamaria present the research of the Computational Biomedicine Lab to the participants of the RICE University, Institute of Biosciences and Bioengineering on January 16, 2008.

We are proud to announce that CBL lab members, George Toderici and Alberto Santamaria-Pang have successfully defended their doctoral dissertations.

A unique collaborative effort between Houston's largest Industries to explore potential crossover ideas and extract shared technologies has taken place on November 12, 2007 at the Pumps and Pipes 1 Conference. Much like moving oil through a pipeline, the heart must pump blood through the body. Our intention was to stimulate discussion, spark ideas and share new technologies between these industries that face similar challenges, even if on a very different scale. The sponsoring members were ExxonMobil, the Methodist DeBakey Heart Center of The Methodist Hospital, and the University of Houston.

For more information, please see our press release

Immediate openings are available in the Computational Biomedicine Lab (CBL). The positions are Post Doctoral Fellow / Research Scientist.

Applications are invited for the above positions in the following areas

Registration Ultrasound (2 open positions)

The positions entail research in multimodal registration and ultrasound image analysis in collaboration with researchers from the Methodist Research Institute at the Methodist Hospital. The candidate will benefit from mentorship of a diverse research team and will be exposed to cutting-edge technology.

Applicants should have a doctoral degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field. The successful applicants will have solid research, interpersonal, and communication skills. Prior biomedical image analysis training is welcome but not required.

The position is open immediately and the salary compensation is very competitive. For consideration, please submit your application preferably in one single PDF-document including cover letter, a full CV, a statement of research interests and career goals and the names and email addresses of three references to ioannisk@uh.edu, with subject line "PDF/RSP: (your name)".

More information

For more information please email Prof. Kakadiaris (ioannisk@uh.edu).

The Computational Biomedicine Lab (CBL) is a cutting-edge research facility with many ongoing projects in the fields of Biomedical Image Analysis, Computational Biomedicine and Multi-spectral Biometrics. CBL provides a unique interdisciplinary research environment with internationally recognized collaborators from Medicine, Biology, Mathematics, and Engineering.

Houston offers an outstanding environment for research and professional opportunities for growth and collaboration, including the largest medical center in the country. UH is an equal employment opportunity employer and smoke-free environment. Women and minority candidates are strongly encouraged to apply.

Immediate openings are available in the Computational Biomedicine Lab (CBL). The positions are Post Doctoral Fellow / Research Scientist.

Applications are invited for the above positions in the following areas

Biometrics (1 open position)

The position entails research in novel biometrics. The candidate will benefit from mentorship of a diverse research team and will be exposed to cutting-edge technology.

Applicants should have a doctoral degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field. The successful applicant will have solid research, interpersonal, and communication skills. Prior biometrics experience is required.

The position is open immediately and the salary compensation is very competitive. For consideration, please submit your application preferably in one single PDF-document including cover letter, a full CV, a statement of research interests and career goals and the names and email addresses of three references to ioannisk@uh.edu, with subject line "PDF/RSP: (your name)".

More information

For more information please email Prof. Kakadiaris (ioannisk@uh.edu).

The Computational Biomedicine Lab (CBL) is a cutting-edge research facility with many ongoing projects in the fields of Biomedical Image Analysis, Computational Biomedicine and Multi-spectral Biometrics. CBL provides a unique interdisciplinary research environment with internationally recognized collaborators from Medicine, Biology, Mathematics, and Engineering.

Houston offers an outstanding environment for research and professional opportunities for growth and collaboration, including the largest medical center in the country. UH is an equal employment opportunity employer and smoke-free environment. Women and minority candidates are strongly encouraged to apply.

The Methodist Hospital, the University of Houston, and Weill Cornell Medical College of Cornell University are combining their expertise in biomedical imaging to advance discoveries in this growing field of biomedical science and its clinical applications. The three institutions have jointly founded the Institute for Biomedical Imaging Science (IBIS). The UH representatives to the Steering Committee are: Prof. Jack Fletcher, Prof. H. Julia Hannay, Prof. Ioannis Kakadiaris and Prof. Ogmen. Prof. Kakadiaris, Eckhard Pfeiffer Professor of Computer Science and Director of the Computational Biomedicine Lab, will serve as the Chair of Steering Committee this year and as the Director next year.

Web links
Press Release
Daily Cougar

This coming Spring semester of 2007, a new course COSC 7397 on Advanced Biomedical Image Computing will be taught by Prof. Shah and Prof. Kakadiaris. More information on this course along with topics covered and requisites can be found on COSC7397-13915 course page.

Immediate openings are available in the Computational Biomedicine Lab (CBL). The positions are Post Doctoral Fellow / Research Scientist and PhD Research Assistant.

Applications are invited for the above positions in the area of Biomedical Image Analysis

Postdoctoral Fellow / Research Scientist

The position entails research in Cardiovascular Image Analysis in collaboration with Methodist Hospital. The candidate will benefit from mentorship of a diverse research team and will be exposed to cutting-edge technology.

Applicants should have a doctoral degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field. The successful applicant will have solid research, interpersonal, and communication skills. Prior biomedical image analysis training is welcome but not required.

PhD Research Assistant

The position entails research in Cardiovascular Image Analysis in collaboration with Methodist Hospital. The candidate will benefit from mentorship of a diverse research team and will be exposed to cutting-edge technology.

Applicants should have a B.Sc. in Computer Science, Electrical Engineering, Applied Mathematics or a related field. The successful applicant will have solid research, interpersonal, and communication skills. Prior biomedical image analysis training is welcome but not required.

More information

For more information please email Prof. Kakadiaris (ioannisk@uh.edu).

The Computational Biomedicine Lab (CBL) is a cutting-edge research facility with many ongoing projects in the fields of Biomedical Image Analysis, Computational Biomedicine and Multi-spectral Biometrics. CBL provides a unique interdisciplinary research environment with internationally recognized collaborators from Medicine, Biology, Mathematics, and Engineering.

Houston offers an outstanding environment for research and professional opportunities for growth and collaboration, including the largest medical center in the country. UH is an equal employment opportunity employer and smoke-free environment. Women and minority candidates are strongly encouraged to apply.

The 3D Face recognition team attended Sigma XI research day and recieved a graduate student poster award. The team also attended the Computer Science Open House event and won the Grand Prize for best poster! Congratulations to Dr. Ioannis Kakadiaris, George Toderici, and Najam Murtuza.

The event was held in the PGH building of University of Houston.

The Computational Biomedicine Lab is proud to announce that in the 2006 UH Sigma Xi competition, Sean O’Malley and George Toderici have each won a poster award in the category of Graduate Computer/Computational Sciences and Math. Their poster titles were “Intravascular Ultrasound-Based Imaging of Vasa Vasorum for the Detection of Vulnerable Atherosclerotic Plaque” and “Expression-Invariant Multispectral Face Recognition: You Can Smile Now!”, respectively.

We have an opening for a research assistant position working in the Computational Biomedicine Laboratory in the Computer Science Department. The position entails tackling an important and exciting medical image analysis problem in a collaborative effort with institutions at the Texas Medical Center. Experience in signal or image analysis and object-oriented programming is desirable but not necessary. The Computational Biomedicine Laboratory is a cutting-edge research facility at the University Houston with many ongoing projects in the fields of Biomedical Image Analysis, Computational Biomedicine and Multispectral Biometrics. We have continued collaborations with Baylor College of Medicine, Methodist Hospital, and the M.D. Anderson Cancer Center. You can learn about our research and the many people involved in our projects at the following website: http://www.cbl.uh.edu.

Prof. Ioannis Kakadiaris and graduate student Sean O’Malley (Computational Biomedicine Laboratory) are collaborating with leading cardiologists, scientists and engineers from the Association for Eradication of Heart Attack, the University of Athens Medical School, the Cardiovascular Research Foundation, Aarhus University, and the University of Houston to enable physicians, for the first time, to detect microvessels growing in atherosclerotic plaques. These microvessels may indicate whether a plaque is inflamed; plaque inflammation is suspected to be a key factor deciding whether the plaque is vulnerable to future rupture (leading to heart attack or stroke). Early detection of these vulnerable plaques is essential in order to reduce the number of fatalities occurring every year due to heart disease. A press release about their technology is available here.

PDF available by clicking on the thumbnail below.

Press release here.

’Tis the season to be jolly... Experts from the University of Houston can help keep your holidays happy by offering insight on selecting the right wine, maintaining a healthy lifestyle and protecting yourself from identity theft. As you consider these and other holiday story ideas, please keep in mind these tips from UH. For more information or to arrange interviews, give us a call at 713-743-8153. Continue Reading...

The 3-D "Face on Your Fridge" data capture project was a success. Over the course of two days, the ears and faces of over 500 University of Houston students, staff, and faculty were captured for the purposes of face and ear recognition research. Photos of the event are available here. Images from last year's project are also available.

• S.M. O'Malley. A Simple, Effective System for Automated Capture of High Dynamic Range Images. Proc. of the IEEE International Conference on Computer Vision Systems (ICVS), New York, NY, January 2006.

Dr. Kakadiaris presents the CBL'S work on "Signal Processing Approaches to Cardiovascular Risk Screening" at the John P. McGovern Lectures in Biomedical Computing and Imaging

URL: http://www.biomachina.org/events/.

Complete list of recipients here.

A quarterly newsletter of the College of Natural Sciences and Mathematics. Click here for the complete story.

We have an immediate opening for a research assistant position working in the Visual Computing Laboratory in the Computer Science Department. The position entails tackling an important and exciting medical image analysis problem in a collaborative effort with institutions at the Texas Medical Center. Experience in signal or image analysis and object-oriented programming is desirable but not necessary. The Visual Computing Laboratory is a cutting edge research facility here at the University Houston with many ongoing projects in the fields of Biomedical Image Analysis and Computer Vision. We have continued collaborations with NASA, Rice University, Baylor College of Medicine, Texas Heart Institute, and the M.D. Anderson Cancer Center. You can learn about our research and the many people involved in our projects at the following website: http://www.vcl.uh.edu/~ioannisk/ For more information, please contact Professor Kakadiaris at ioannisk@uh.edu (713) 743-1255