12th International Conference on Medical Image Computing and Computer Assisted Intervention

20th-24th September 2009, Imperial College London.
MICCAI 2009, the 12th International Conference on Medical Image Computing and Computer Assisted Intervention, is set to welcome delegates in London from 20th - 24th September 2009. Now in its 12th year, the MICCAI conference attracts world-leading scientists, engineers and clinicians from a wide range of disciplines associated with medical imaging and computer assisted surgery. The venue for MICCAI 2009 will be the main campus of Imperial College London in South Kensington.

The 5-day conference includes a full programme of workshops, tutorials and keynote presentations, and will be supported by an online interactive exhibition. Professor Sir Michael Brady FRS will address the conference on the topic of "Oncological Image Analysis", and Professor Koji Ikuta from Nagoya University in Japan will deliver his keynote presentation on "Nano and Micro Robotics for Future Biomedicine".

In an addition to this year's MICCAI programme, conference organisers have invited two leading figures in magnetic resonance imaging (MRI) to share with students and research fellows their journey in basic sciences research and how to foster effective collaboration between engineering and clinical medicine. Sir Peter Mansfield FRS, physicist and Nobel Laureate, and Professor Donald Longmore OBE FRCS Ed FRCR, surgeon and inventor, will hold "An Audience with the Pioneers" on Tuesday 22nd September.

The full list of organisations exhibiting at MICCAI 2009 is: Analyze Direct, Artech House, Claron Technology, Engineering and Physical Sciences Research Council, Hansen Medical, Institution of Engineering and Technology, Intition Ltd, Intuitive Surgical Inc, IXICO Ltd, Maxeler Technologies Ltd, NDI Europe GmbH, NHS National Institute for Health Research, NVIDIA, Qatar Robotic Surgery Centre, Quanser, Robocast, Sensegraphics AB, Springer and Tobii Technology AB.

For further information about MICCAI 2009 and for details of how to register for workshops and tutorials, please visit:
http://www.miccai2009.org

About the Institute of Biomedical Engineering, Imperial College London
The Institute of Biomedical Engineering (IBE) was founded to create an international centre of excellence in biomedical engineering research. Its state-of-the-art, purpose-built facilities opened in 2006.

Combining the strengths of two world class research schools in engineering and medicine, the IBE draws together scientists, medics and engineers to apply their extensive expertise to create revolutionary progress in medical diagnosis and treatment. Through this interdisciplinary approach, the IBE is delivering a world-leading combined research capability to tackle the major challenges in modern healthcare - applying advances in technology to enable people to lead independent and productive lives despite illness, ageing and disability.

The research programme is focused at the intersections between the platform technologies in science and engineering, including systems biology, materials, imaging and nanotechnology, and medical applications, such as bionics, biomechanics and tissue engineering.

For more information, visit http://www3.imperial.ac.uk/biomedeng.

Most Popular Now

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...

Sam Neville Joins the Highland Marketing…

Leading chief nursing information officer Sam Neville is joining the Highland Marketing advisory board. Sam brings a passion for nursing and safety to the board, which debates the big issues...

New Biomarkers to Detect Colorectal Canc…

Machine learning and artificial intelligence (AI) techniques and analysis of large datasets have helped University of Birmingham researchers to discover proteins that have strong predictive potential for colorectal cancer. In a...

AI Tool that may Assist Underserved Hosp…

As the fields of healthcare and technology increasingly evolve and intersect, researchers are collaborating on the best ways to use emerging technologies such as artificial intelligence (AI) to care for...

AI Model Identifies Potential Risk Genes…

Researchers from the Cleveland Clinic Genome Center have successfully applied advanced artificial intelligence (AI) genetics models to Parkinson's disease. Researchers identified genetic factors in progression and FDA-approved drugs that can...

AI-Supported Breast Cancer Screening - N…

The new findings are published in The Lancet Digital Health. The initial results of the Mammography Screening with Artificial Intelligence (MASAI) study* - a randomised trial to evaluate whether AI...

AI Improves Personalized Cancer Treatmen…

Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these...

The Future of Healthcare is Digital

8 - 10 April 2025, Berlin, Germany. The Berlin Exhibition Centre will be all about digital health from 8 to 10 April 2025. DMEA, Europe's leading event for digital healthcare, organised...

DMEA nova Award: Looking for the Best Id…

8 - 10 April 2025, Berlin, Germany. Innovative startups from the digital health sector can now apply for the DMEA nova Award 2025. We are looking for the best idea or...

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...