CAFACHEM 2020 Summer School on Organic & Halogen Radiochemistry Aug 26, 2020 - Aug 28, 2020 — Virtual Meeting (online)
Scottish Dementia Research Consortium Annual Conference 2020 [rescheduled] Sep 07, 2020 10:00 AM - 04:00 PM — Radisson Blu, 301 Argyle St, Glasgow
Society for Magnetic Resonance Angiography - SMRA2020 VIRTUAL Sep 11, 2020 - Sep 13, 2020 — Virtual Meeting (online)
Ophthalmic Medical Image Analysis MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)

eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

2nd International Conference on Medical Imaging with Deep Learning

International Conference on Medical Imaging with Deep Learning (MIDL) 2019
When Jul 08, 2019 12:00 AM to
Jul 10, 2019 12:00 AM
Where ICL South Kensington Campus, London
Contact Name
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This new annual conference attracts world leading researchers and engineers from academia, industry and biomedical sciences working at the intersection of medical image analysis and machine learning. The conference series includes three days of oral presentations and poster sessions, and features keynotes from high-profile invited speakers.

The conference has a broad scope including all areas of medical image analysis and computer-assisted intervention where deep learning is a key element.

Topics of interest include but are not limited to:

  • Semantic segmentation of medical images
  • Learning based image registration
  • Computer-aided detection and diagnosis
  • Image acquisition, reconstruction and synthesis
  • Transfer learning and domain adaptation
  • Learning with noisy labels and limited data
  • Unsupervised deep learning and representation learning
  • Uncertainty estimation for medical diagnosis
  • Interpretability and explainable deep learning
  • Integration of imaging and clinical data
  • Validation studies and deep learning applications in radiology, pathology, endoscopy, dermatology, ophthalmology, and beyond
Conference submissions follow two tracks: full conference papers and extended abstracts. All accepted submissions will be published as a volume in the Proceedings of Machine Learning Research. The best accepted full conference papers will be invited for submission to a special issue of Medical Image Analysis, a top journal in the field.

 

Full conference papers contain well-validated applications or methodological contributions of deep learning algorithms in medical imaging. Full papers will go through a single-blind peer-reviewing process via OpenReview. All accepted papers will be presented as posters with a selection of these papers will also be invited for oral presentation.
  • Submission deadline: 13 December 2018
Extended abstracts are up to 3 pages (excluding references and acknowledgements) and can, for example, focus on preliminary novel methodological ideas without extensive validation. We also specifically accept extended abstracts of recently published or submitted journal contributions to give authors the opportunity to present their work and obtain feedback from the community. Selection of abstracts is performed via a lightweight single-blind review process via OpenReview. All accepted abstracts will be presented as posters at the conference.
  • Submission deadline: 12 April 2019

    More information about this event…