OpenAlex
PricingAboutJobs
Log inGet started
Work

Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

HTML

Year: 2024
Type: conference-paper
Source: Lecture notes in computer science
DOI: 10.1007/978-3-031-72390-2
Authors: Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
Language: English

Topic: Medical Image Segmentation Techniques
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: closed

Funders: Massachusetts General Hospital, Boston College, Vanderbilt University, Washington University in St. Louis, Johns Hopkins University, University of Pittsburgh, Case Western Reserve University, Les Laboratories Pierre Fabre, Children's National Hospital, York University, Imperial College London, King's College London, University of New South Wales, University of Twente, Concordia University, Fudan University, Huazhong University of Science and Technology, East China Normal University, Nanjing University of Science and Technology, Technische Universität München, Universitat de Barcelona, Nanjing University, Daegu Gyeongbuk Institute of Science and Technology, ShanghaiTech University, Université Cadi Ayyad, Nile University, Stony Brook University, National Institutes of Health, University of North Carolina at Chapel Hill
OpenAlex ID: W4403619571
FWCI: 2.521
Cites:
Cited by: 14
Related to: 10
OpenAlex
Nonprofit
Open DataOpen Data
Open Source
Product
Search
Compare
Pricing
Repositories
Unpaywall
Unsub
Developers
API docs
Data snapshot
Status
Source code
Organization
About
Team
Testimonials
Brand
Jobs
Community
Help center
Contact
Events
Blog
Mailing list
Supporters
Legal
Privacy
Accessibility
Terms