IJCARS special issue: BVM 2007 German conference on medical image processing

Horsch, Alexander; Deserno, Thomas M.; Handels, Heinz; Meinzer, Hans-Peter; Tolxdorff, Thomas

doi:10.1007/s11548-008-0147-3

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…and computer science, medicine and industry [3][4][5]. In 2008 the BVM was hosted by the Charité -Universitätsmedizin Berlin with 200 participants.…”

Section: Methods Inf Med 4/2009mentioning

confidence: 99%

Advances in Medical Image Computing

Deserno¹,

Handels²,

Meinzer³

et al. 2009

Methods Inf Med

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Summary Objectives: Medical image computing has become a key technology in high-tech applications in medicine and an ubiquitous part of modern imaging systems and the related processes of clinical diagnosis and intervention. Over the past years significant progress has been made in the field, both on methodological and on application level. Despite this progress there are still big challenges to meet in order to establish image processing routinely in health care. In this issue, selected contributions of the German Conference on Medical Image Processing (BVM) are assembled to present latest advances in the field of medical image computing. Methods: The winners of scientific awards of the German Conference on Medical Image Processing (BVM) 2008 were invited to submit a manuscript on their latest developments and results for possible publication in Methods of Information in Medicine. Finally, seven excellent papers were selected to describe important aspects of recent advances in the field of medical image processing. Results: The selected papers give an impression of the breadth and heterogeneity of new developments. New methods for improved image segmentation, non-linear image registration and modeling of organs are presented together with applications of image analysis methods in different medical disciplines. Furthermore, state-of-the-art tools and techniques to support the development and evaluation of medical image processing systems in practice are described. Conclusions: The selected articles describe different aspects of the intense development in medical image computing. The image processing methods presented enable new insights into the patient’s image data and have the future potential to improve medical diagnostics and patient treatment.

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“…and computer science, medicine and industry [3][4][5]. In 2008 the BVM was hosted by the Charité -Universitätsmedizin Berlin with 200 participants.…”

Section: Methods Inf Med 4/2009mentioning

confidence: 99%

Advances in Medical Image Computing

Deserno¹,

Handels²,

Meinzer³

et al. 2009

Methods Inf Med

View full text Add to dashboard Cite

show abstract

“…In the field of softwareassisted and navigated therapy, medical image computing has opened up new perspectives for patient treatment. Although methods and systems of medical image computing are yet applied in practice, their grade of automation, accuracy, reproducibility, and robustness has to be increased to meet the requirements in clinical routine [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Medical image computing and image-based simulation: recent developments and advances in Germany

et al. 2014

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“…Analogously in Germany, the workshop “Bildverarbeitung für die Medizin (BVM)” (Image Processing for Medicine) has recently celebrated its 20 th annual performance. The meeting has evolved over the years to a multi-track conference on international standard [3, 4, 5, 6, 7, 8, 9]. …”

Section: Introductionmentioning

confidence: 99%

Viewpoints on Medical Image Processing: From Science to Application

Tm¹,

Handels²,

Kh³

et al. 2013

CMIR

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Medical image processing provides core innovation for medical imaging. This paper is focused on recent developments from science to applications analyzing the past fifteen years of history of the proceedings of the German annual meeting on medical image processing (BVM). Furthermore, some members of the program committee present their personal points of views: (i) multi-modality for imaging and diagnosis, (ii) analysis of diffusion-weighted imaging, (iii) model-based image analysis, (iv) registration of section images, (v) from images to information in digital endoscopy, and (vi) virtual reality and robotics. Medical imaging and medical image computing is seen as field of rapid development with clear trends to integrated applications in diagnostics, treatment planning and treatment.

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IJCARS special issue: BVM 2007 German conference on medical image processing

Cited by 6 publications

References 6 publications

Advances in Medical Image Computing

Advances in Medical Image Computing

Medical image computing and image-based simulation: recent developments and advances in Germany

Viewpoints on Medical Image Processing: From Science to Application

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