CLIP 2020 : CLIP: MICCAI 2020 Workshop on Clinical Image-based Procedures: Towards Holistic Patient Models for Personalised Healthcare
Call For Papers
CALL FOR PAPERS
MICCAI 2020 Workshop on
Clinical Image-based Procedures: Towards Holistic Patient Models for Personalised Healthcare
October 4, 2020
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.
Please note: 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.
* 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
Papers can be up to 10 pages. All submissions will be peer-reviewed by at least 3 members of the program committee. Reviewing is double-blind so authors have to prepare their manuscripts such that their identity cannot be derived from their submission. The selection of papers will be based on the significance of results, novelty, technical merit, relevance and clarity of presentation.
Electronic paper proceedings will be arranged. The papers will be published in a Springer Lecture Notes in Computer Science (LNCS) proceeding. LNCS is indexed by Scopus, ACM Digital Library, DBLP, Conference Proceedings Citation Index (part of Clarivate Analytics’ Web of Science), and others.
Papers will be presented in a day long single track workshop starting with plenary sessions. The final program will consist of previously unpublished and contributed papers with substantial time allocated to discussion.
* June 30, 2020: Paper submission due date
* July 21, 2020: Notification of acceptance
* July 31, 2020: Final camera-ready paper submission deadline
Inquires about the workshop should be sent to the Information Desk (firstname.lastname@example.org).
ORGANIZERS (in alphabetical order)
Klaus Drechsler (Fraunhofer IGD, Germany)
Marius Erdt (Fraunhofer IDM@NTU, Singapore)
Miguel González Ballester (ICREA - Universitat Pompeu Fabra, Spain)
Marius George Linguraru (Children's National Medical Center, USA)
Cristina Oyarzun Laura (Fraunhofer IGD, Germany)
Raj Shekhar (Children's National Medical Center, USA)
Stefan Wesarg (Fraunhofer IGD, Germany)