Fraunhofer Institute for Medical Image Computing MEVIS

Joseph von Fraunhofer Prize 2018 for Fraunhofer MEVIS Researchers

Algorithms for liver surgery – performing operations more safely worldwide

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Medical Knowledge Through Research

Fraunhofer MEVIS develops real-world software solutions for computer-aided medicine, bridging between medical imaging, image-guided therapy, and healthcare informatics – bringing benefits to patients, customers and partners.

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Software Assistance for Needle Based Intervention

SAFIR supports the whole interventional workflow from planning to assessment utilizing segmentation, registration, simulation, optimization and visualization methodology. To facilitate fast deployment of new applications targeted at specific clinical questions or scientific projects, SAFIR is designed as a modular framework, which allows for re-using information processing methods and customization of algorithms.

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Drive Tissue-Based Analysis and Provide Rich Quantitative Information

We develop innovative software solutions that measure tissue parameters across entire tissue sections automatically and precisely.

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Multicycle Real-time MRI Analysis

CaFuR enables cardiac diagnosis with real-time MRI. It consists of an accelerated MRI acquisition and a complete software solution for automated analysis.

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Medical Knowledge Through Research

Medical Knowledge Through Research

Medical Knowledge Through Research

Tablet PC Supports Liver Surgeons

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Joseph von Fraunhofer Prize of the year 2018 for Fraunhofer MEVIS

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15.05.2018 | Press Release

2018 Joseph von Fraunhofer Award: Algorithms for liver surgery

 

3.5.2018 | Institute News

New 3D Short Film “Physicians’ Colleague, Patients’ Helper: The Cognitive Computer”

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15.5.2018

Algorithms for liver surgery – performing operations more safely worldwide

Four complex, interwoven vascular systems pass through the liver. Surgically removing tumors is therefore often a great challenge. The Fraunhofer Institute for Medical Image Computing MEVIS has developed algorithms that analyze patients‘ imaging data and calculate surgical risks. This makes liver cancer surgery safer and easier to plan.

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3.5.2018

New 3D Short Film “Physicians’ Colleague, Patients’ Helper: The Cognitive Computer”

From May on, visitors of the Ars Electronica Center can watch the new short film “Physicians’ Colleague, Patients’ Helper: The Cognitive Computer” in the 3D theater Deep Space 8K. The film shows how deep neural networks contribute to the evaluation of medical data and how this also changes the role of physicians and patients.

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26.2.2018

Early countermeasures against ineffective therapies

What effect does a particular cancer medicine or radiation therapy have on patients? To find out, physicians use CT images to determine whether a tumor’s size changes during the course of treatment. In the PANTHER project, a joint team of experts aims at gaining further valuable information from these images. In the future, doctors will be able to find out at an early stage whether a cancer treatment is effective or should be changed. The Fraunhofer Institute for Medical Image Computing MEVIS, with its branches in Bremen and Lübeck, is an essential project partner. This spring, the project team will present the interim results from the first project period.

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12.2.2018

Deep Learning for Image Understanding at SPIE Medical Imaging 2018

Fraunhofer MEVIS researchers Markus Wenzel and Hans Meine instructed a 1-day-course on “Deep Learning for Image Understanding” on Saturday, February 10 as part of this year‘s SPIE Medical Imaging Conference held February 10–15 in Houston, Texas.

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About Fraunhofer MEVIS

Learn more about who we are, what we do and what drives us.

Scientific Publications

Browse through our list of scientific publications structured by type and year of publication.

 

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Barcelona | 20.-24.04.2018 | Conference

ESTRO 37

Meet us in Barcelona, Spain and let us discuss latest developments

Upcoming Events

Come and meet us at one of the upcoming events and get to know more about us and our expertise.