René's URL Explorer Experiment

      {"@context":"http://schema.org","@graph":[{"@context":"http://schema.org","@type":"DiscussionForumPosting","author":{"@type":"Organization","name":"ENHANCE.PET","url":"https://www.linkedin.com/company/enhance-pet"},"datePublished":"2026-02-01T18:54:37.736Z","mainEntityOfPage":"https://www.linkedin.com/posts/enhance-pet_something-cool-is-brewing-at-enhancepet-activity-7423800965629153280--MYO","text":"Something cool is brewing at ENHANCE.PET ☕️\n\nInput folders used to need just the right names in just the right structure.\nNot anymore.\n\nOur open-source tool stack now comes with repo-specific skills.md files. Tell your coding agent to follow the repo’s skills.md and… voilà. Things just work.\n\nDIGITX | QIMP ","url":"https://www.linkedin.com/posts/enhance-pet_something-cool-is-brewing-at-enhancepet-activity-7423800965629153280--MYO"},{"@context":"http://schema.org","@type":"DiscussionForumPosting","author":{"@type":"Organization","name":"ENHANCE.PET","url":"https://www.linkedin.com/company/enhance-pet"},"datePublished":"2025-08-06T10:21:57.959Z","mainEntityOfPage":"https://www.linkedin.com/posts/enhance-pet_we-just-open-sourced-our-first-large-scale-activity-7358804521893916673-hrjw","text":"📢 We just open-sourced our first large-scale PET/CT dataset!\n\nAs part of the ENHANCE.PET initiative, we’re releasing a curated dataset of approximately 1,600 whole-body and total-body [18F]FDG-PET/CT scans, accompanied by CT-derived segmentations of 130 clinically relevant regions. 🩻🔬\n\nExcept for data from the AutoPET Challenge (licensed CC BY-NC 4.0), all contributions—including those from Azienda Ospedaliero-Universitaria Careggi and University Hospital Leipzig—are fully open under a Creative Commons Attribution 4.0 International license (CC BY 4.0). 🌐🔓\n\nThe dataset features 1,597 dual-modality PET/CT images in anonymized NIfTI format, covering comprehensive segmentations of abdominal organs, muscles, bones, cardiac subregions, vessels, adipose tissue, and skeletal muscle around the L3 vertebra. 📚💡\n\nIt includes scans from healthy individuals as well as patients with lung cancer, lymphoma, and melanoma. All CT-derived segmentations were initially generated automatically, then rigorously verified and corrected by physicians-in-training. 👩‍⚕️👨‍⚕️✅\n\n📌 Easy Access via MOOSE\nThe MOOSE framework is open-source with extensive documentation, ready for immediate use:\nhttps://lnkd.in/e9TC22c9\n\nDownload the dataset quickly through the command line:\nmoosez -dtd -dd path/to/download/\n\nRead more here [pre-print]: https://lnkd.in/epeBTimR\n\nData card: https://lnkd.in/eqS7-PZP\n\nThanks to Daria Ferrara who led this massive project \nThanks to Manuel Pires & Sebastian Gutschmayer for all the trainings and tech support.\n\nQIMP\nThomas Beyer, PhD, MBA\nLalith Kumar Shiyam Sundar, PhD","url":"https://www.linkedin.com/posts/enhance-pet_we-just-open-sourced-our-first-large-scale-activity-7358804521893916673-hrjw"},{"@context":"http://schema.org","@type":"Organization","name":"ENHANCE.PET","url":"https://www.linkedin.com/company/enhance-pet","description":"ENHANCE (Enabling New Horizons for Advanced Networking, Code-sharing, and Education in Total-Body PET Imaging) is a pioneering initiative dedicated to empowering the global PET imaging community. We strive to foster collaboration, drive innovation, and facilitate learning through a robust platform that connects researchers, clinicians, and industry professionals. Together, we're shaping the future of PET imaging for improved diagnostics and patient care.","logo":{"contentUrl":"https://media.licdn.com/dms/image/v2/D4E0BAQFNuAkWvdHCKw/company-logo_200_200/company-logo_200_200/0/1695374214179/enhance_pet_logo?e=2147483647&v=beta&t=YDO1hzN5DlWXNIpFHrIhrckWcAr6blkBZVOQwXLyCcI","description":"ENHANCE.PET","@type":"ImageObject"},"slogan":"Shaping the Future of PET Imaging - Together","sameAs":"https://enhance.pet"}]}