kclmmag.org valuation and analysis

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Title Motion Modelling and Analysis Group | King’s College
Description CONTACT The Motion Modelling and Analysis Group is an academic research group based at King’s College London. We perform high impact research into the use of artificial intelligence for medical image analysis, with a focus on dynamic (moving) imaging
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WebSite kclmmag faviconkclmmag.org
Host IP 35.214.59.85
Location United States
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kclmmag.org Valuation
US$252,899
Last updated: 2023-05-14 23:17:09

kclmmag.org has Semrush global rank of 41,851,937. kclmmag.org has an estimated worth of US$ 252,899, based on its estimated Ads revenue. kclmmag.org receives approximately 29,181 unique visitors each day. Its web server is located in United States, with IP address 35.214.59.85. According to SiteAdvisor, kclmmag.org is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$252,899
Daily Ads Revenue US$234
Monthly Ads Revenue US$7,004
Yearly Ads Revenue US$84,041
Daily Unique Visitors 1,946
Note: All traffic and earnings values are estimates.
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Host Type TTL Data
kclmmag.org. A 7199 IP: 35.214.59.85
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kclmmag.org. MX 3600 MX Record: 20 mx20.mailspamprotection.com.
kclmmag.org. MX 3600 MX Record: 30 mx30.mailspamprotection.com.
HtmlToTextCheckTime:2023-05-14 23:17:09
top of page Home Research Fairness & bias Cardiac quantification Prediction Segmentation News Publications Team Andrew King Esther Puyol Anton Bram Ruijsink Nick Byrne Laia Humbert-Vidan Matthieu Ruthven Zhen Yuan Devran Ugurlu Tareen Dawood Maram Alqarni Tiarna Lee Nhat Phung Hamideh Kerdegari Shaheim Ogbomo-Harmitt Hasara Wickremasinghe Iman Islam Tom Young Mubaraq Yakubu Downloads Open Positions Contact Blog MOTION MODELLING & ANALYSIS GROUP Artificial intelligence for medical image analysis About Us The Motion Modelling and Analysis Group (MMAG) is an academic research group based within the School of Biomedical Engineering and Imaging Sciences of King’s College London . The group is based at St. Thomas’ Hospital in central London. The MMAG includes researchers from a diverse range of backgrounds and is proud to foster an inclusive research environment to allow all to thrive and reach their potential. ​ The MMAG has worked in the past on the imaging, modelling and estimation of
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