[visionlist] MICCAI CLIP 2025 - Call for Papers
Moti Freiman
moti.freiman at technion.ac.il
Tue Mar 4 02:36:22 -05 2025
(Sorry for cross posting)
The 2025 MICCAI Workshop on Clinical image-based procedures (CLIP) will be conducted for the 14th time consecutively. CLIP 2025 will be hosted in conjunction with MICCAI 2025 (Sept. 23-27. 2025) at Daejeon, Republic of Korea.
Website: https://miccai-clip.org/
Important Dates
Paper submission: 25 June, 2025
Notification of paper decisions: 16 July, 2025
Publication
As in previous years, we plan to publish the CLIP 2025 proceedings as part of Springer Nature‘s Lecture Notes in Computer Science (LNCS) book series.
Workshop Description
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 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 will provide 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.
Topics
Topics include, but are not limited to:
• 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
Organizers
• Yufei Chen, Tongji University, Shanghai, China
• Klaus Drechsler, Aachen University of Applied Sciences, Germany
• Marius Erdt Singapore
• Moti Freiman, Technion, Israel
• Stefan Wesarg, Fraunhofer IGD, Germany
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