UCL Medical Image Computing Summer School (MedICSS)
6 – 10 July 2020, London, UK
Dear prospective summer school candidate. We are happy to announce that the 2020 MedICSS event will be entirely run online to allow for anticipated travel restrictions during this challenging time. Registration will remain open until April 20th 2020.
Medical image computing is a core theme of research at University College London (UCL) with internationally recognised activities crossing multiple centres, institutes and departments. Our long-standing focus on medical imaging and devices, data science, artificial intelligence and robotics was recognized with a recent EPSRC-award for a Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare. Through the CDT and with allied academic staff, projects at UCL cover a wide variety of imaging modalities, devices, theories and applications.
With this sixth MedICSS event we aim to allow young scientists from the international community to engage with both UCL and invited experts in a diverse range of image computing topics. As part of the course delegates will learn about the newest developments in the medical imaging field. As well as lectures by scientific leaders we will promote activity-based learning through interactive breakout sessions which will encourage collaboration, critical thinking and scientific discovery.
Taking advantage of London’s position as a global city and international travel hub, we invite applications to MedICSS especially from gifted doctoral students who wish to take advantage of this exciting opportunity to be at the forefront of medical image computing research and systems.
MedICSS is supported by the Centre for Medical Image Computing (CMIC) and the Wellcome/EPSRC Centre for Interventional and Surgical Sciences at UCL, and is endorsed by the Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare. MedICCS 2020 is a MICCAI and ISMRM endorsed event. MedICSS abides by the Code of Conduct of the MICCAI society.
|The five day course covers different topics including: Acquisition/Reconstruction, Image guided interventions, Image processing and analysis, Modelling, and Machine learning.||Practical and interactive sessions throughout the week will be used to encourage communication and hands on learning. These will include a poster session and a hands-on mini-project.||The social programme will be flexible with attendees having options to participate in planned events or to explore the various social and cultural events that London has to offer.|