17 May: CLIP 2021 website is online


CLIP is about the effective translation of computational image-based techniques into the clinic filling the gaps between medical imaging, basic science and clinical applications. As it nowadays becomes more and more important for many clinical applications to base decisions not only on image data alone, a focus of CLIP 2020 is on the creation of holistic patient models. Here, image data such as radiologic images, microscopy images, and photographs is combined with non-image information such as ‘omics’ data (e.g. genomics, proteomics), life style data, demographics, EEG, and other to build a more complete picture of the individual patient and to subsequently provide better diagnosis and therapies.

CLIP 2020 provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data. Submissions related to applications already in use and evaluated by clinical users are particularly encouraged. We explicitly welcome novel techniques and applications that are looking at combining image analysis with clinical data mining and analytics, user studies, and other heterogeneous data.

MICCAI announced holding MICCAI 2020 as a fully virtual event in light of the ongoing pandemic which means that CLIP 2020 will follow this format. Paper proceedings will be published as planned and accepted papers will have pre-recorded presentations with live Q&A. 


  • Updates coming soon.

Submissions due

More information coming soon.

Thank you to all authors for your submissions! Please see the programme section for the list of accepted papers and presentation schedule. The CLIP 2020 proceedings are available here.

Best Paper Award

More information coming soon.