The Clinical Image-based Procedures Workshop (CLIP) was held on 17 October 2019 for the 8th consecutive time in conjunction with MICCAI. We would like to thank all authors, participants and supporters for making CLIP 2019 a success! See you next year in Peru.
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 2019 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 2019 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.
- Combination of image analysis with other heterogeneous data including
- Radiography images, microscopy, photographs, genomics, proteomics, life style data, EEG, bio-data, and other
- Multimodal image integration for modeling, planning and guidance
- Strategies for patient-specific and anatomical modeling to support planning and interventions
- Clinical studies employing advanced image-guided methods
- Clinical translation and validation of image-guided systems
- Current challenges and emerging techniques in image-based procedures
- Clinical applications in open and minimally invasive procedures
Dr. Chen Hao, founder and CEO of Imsight Medical Technology.
We thank all authors who submitted to CLIP 2019. The paper submission system is now closed.
Accepted and presented 8-10-page papers will be published by Springer as part of Lecture Notes in Computer Science (LNCS).
This year, presenting authors of accepted papers can apply for a CLIP Travel Grant. The grant is meant to support selected presenting authors with no or very limited budget to travel to and attend CLIP 2019. More details will be provided soon.
Best paper award
The CLIP 2019 best paper award has been awarded to the paper "Multi-instance deep learning with graph convolutional neural networks for diagnosis of kidney diseases using ultrasound imaging " by Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Hangfan Liu, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan. Congratulations to the authors!.