Announcements

April 2018

World Congress on Osteoporosis, Osteoarthritis and Musculoskeletal Diseases
April 19 -22, 2018, Krakow/PL

The World Congress on Osteoporosis, Osteoarthritis and Musculoskeletal Diseases will take place from April 19th to April 22nd, 2018 in the beautiful city of Krakow, Poland.

The members of the Committee of Scientific Advisors of the International Osteoporosis Foundation (IOF) and the Scientific Advisory Board of the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis (ESCEO) are developing a very exciting Congress' scientific programme that will bring together the world's best in the field of musculoskeletal health and disease. 

We really hope to welcome you in Krakow, Poland and that this Congress will move the field one step forward on all fronts; from new understanding of bone metabolism and pathology, to new strategies and options in prevention, diagnosis and treatment.



June 2018

40th Post Graduate Course & 54th Annual Meeting of the European Society for Paediatric Radiology (ESPR)
June 18 - 22, 2018, Berlin/DE
 
ESPR2018


Dear Paediatric Radiologists,
Dear friends of European Paediatric Radiology

For the first time the European Society for Paediatric Radiology congress will be held in Berlin, this however, should not be the only reason for attending the ESPR congress in 2018.
On 18–19 June, we scheduled the two-day 43rd postgraduate course, which is directed at both – radiologists coming to the end of their specialist training as well as, young paediatric radiologists at the beginning of the professional career. Typical paediatric diseases and specialised imaging diagnostics in the childhood will be presented.

The ensuing, three-day 54th ESPR congress, 20–22 June, will offer, in addition to the scientific focus, a good mix of keynote lectures, interactive sessions and state-of-the-art lectures. This guarantees an interesting composition of special knowledge and repetition at a very high level. Smaller special focus sessions complement the conference and will also offer for specialised experts new aspects to their daily work.

Aside from the meetings, we will provide a platform that encourages networking and the development of professional cooperation. The Hilton congress hotel is located right in the heart of Berlin, directly at the most beautiful square in the city – one of the most beautiful squares in Europe. The venue also offers unbeatable accommodation conditions for this location, which should be used to get to know the prospering, lively Berlin from its most beautiful side right in downtown.

Have a try of Berlin’s cultural side and join the networking programme with a further highlight: We would like to discover together the shimmering, glittering Berlin of the 1920’s: instead of the traditional gala dinner, we invite you to party in the spirit of the "Roaring Twenties".

Please come and join us in Berlin for the ESPR 2018! We are looking forward to welcoming you!
Kind regards,

Prof. Dr. Franz Wolfgang Hirsch
Congress chair of ESPR 2018 and the organising committee


September 2018


Call for papers

MLMIR 2018 – 1st Workshop on Machine Learning for Medical Image Reconstruction  (in conjunction with MICCAI 2018), 16th September 2018, Granada, Spain

Image reconstruction is currently undergoing a paradigm shift that is driven by advances in machine learning. Whereas traditionally transform-based or optimization-based methods have dominated methods for image reconstruction, machine learning has opened up the opportunity for new data-driven approaches which have demonstrated a number of advantages over traditional approaches. In particular, deep learning techniques have shown significant potential for image reconstruction and offer interesting new approaches. Finally, machine learning approaches also offer to the possibility for application-specific image reconstruction, e.g. in motion-compensated cardiac or fetal imaging.

This is supported by success of machine learning in other inverse problems by multiple groups worldwide, with encouraging results and increasing interest. Coincidentally, this year is the centenary of the Radon transform and the 250th anniversary of Joseph Fourier’s birthday, the two transforms that provide the mathematical foundation for tomography and medical imaging. It seems appropriate and timely to consider how to invert the Radon transform and Fourier transform via machine learning, and have this workshop serve as a forum to reflect this emerging trend of image reconstruction research. In this respect, it will frame a fresh new way to recharge or redefine the reconstruction algorithms with extensive prior knowledge for superior diagnostic performance.

The aim of the workshop is to drive scientific discussion of advanced machine learning techniques for image acquisition and image reconstruction, opportunities for new applications as well as challenges in the evaluation and validation of ML based reconstruction approaches. Specifically, this will include the topics such as those listed below (but not limited to):

- Compressed sensing methods
- Sparsity and low-rank methods
- Machine learning for image super-resolution
- Machine learning for image synthesis
- Machine learning for quantitative imaging (including MRF)
- Deep learning for image reconstruction including
    o   CNN-based approaches
    o   RNN-based approaches
    o   Adversarial and generative approaches
    o   Fusion with traditional reconstruction techniques
- Machine learning for
    o   X-ray CT image reconstruction (such as for low-dose imaging) 

    o   MR image reconstruction (such as for fast imaging)
    o   SPECT and PET image reconstruction
    o   Ultrasound and optical imaging
    o   Multimodality fusion or joint image reconstruction across two or more modalities 

- Applications of ML for image reconstruction in
    o   Neuroimaging
    o   Cardiac imaging
    o   Abdominal imaging
    o   Fetal and/or neonatal imaging
- Validation of ML for image reconstruction

Organisers

Daniel Rueckert, Imperial College London, UK
Florian Knoll, New York University, US
Andreas Maier, University of Erlangen, Germany

Keynote Speakers

Jong Chul Ye (KAIST)
Michael Unser (EPFL)

Timeline

MICCAI paper results released:   22nd May 2018
Paper submission deadline:         11th June 2018
Decisions to authors:                   2nd July 2018
Camera-ready submission:          17th July 2018
Workshop:                                   16th September 2018 (am), Granada, Spain