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#MICCAI2023 🇨🇦! Extremely sparse-view CBCT reconstruction, aiming to reconstruct a high-quality CT volume from fewer than 10 projection views by Yiqun. 7/n Paper: arxiv.org/abs/2303.06681 Code: github.com/xmed-lab/DIF-N…

#MICCAI2023 🇨🇦! Inspired by Morphology, a first attempt to explore a deep learning method for unsupervised gland segmentation, where no manual annotations are required. Work done by Qixiang Zhang. 10/n Paper: arxiv.org/abs/2307.11989 Code: github.com/xmed-lab/MSSG

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Multiple AI-in-imaging PhD and Postdoc hiring in my group at Case Western Reserve University. Email me if you are interested!

One day left until the Digital Pathology and Data Intelligence workshop at HKUST! Excited to welcome speakers including Prof. James Zou, sharing their expertise in medical image analysis. Zoom Link Reg. bdi.hkust.edu.hk/bdi_ai4s

A comprehensive benchmark with 4 x medical datasets and 12 x baselines for volumetric image segmentation available 👇 #NeurIPS #NeurIPS2023 2/2 github.com/xmed-lab/Gener…

Looking for the SOTAs in Semi-supervised Semantic Segmentation? Check AllSpark to be presented at #CVPR2024 💫🔮 Paper: arxiv.org/abs/2403.01818 Code: github.com/xmed-lab/AllSp…

A trio of firsts alongside @KaoutherMouheb: 1st MICCAI in AFRICA, 1st-year PhD, 1st MICCAI acceptance (3 papers). Thanks to all collaborators especially Kostas Kamnitsas, Esther Bron, and Xiaomeng Li . Stay tuned for details ✨ #MICCAI2024 MICCAI

I am be attending #CVPR2024 in Seattle. Feel free to stop by our poster session and say hello!

Interested in how #CVPR2025 can contribute to healthcare? Stop by X-Med posters at #CVPR2024 today from 10:30 am - 12:30 pm in Arch 4A-E. Check out posters #150 and #191 to learn about the latest applications of computer vision in medical scenarios 🩻. #CVPR2024 #HealthcareTech

It’s not too late to contribute to #MICCAI2024! Join our TriALS competition to detect liver lesions using non-contrast CT scans in Egyptian patients! Hosted in person at MICCAI. Top teams will present with awards totaling $1,000. 🏆 Participate Now: shorturl.at/uz2iq

🧠✨ Unlocking Number Sense with CLIP! Join us at #ECCV2024 🇮🇹 and see how we teach CLIP to master ordinal regression! 📍 Poster #195 🕟Thu, Oct 3 | 4:30–6:30 p.m. CEST GitHub: github.com/xmed-lab/NumCL… Paper: arxiv.org/abs/2408.03574

Join us at the oral and poster session led by Ph.D. student Jiewen, where we will showcase our work on how CardiacNet can accurately predict heart diseases. See you there!

🚀 Thrilled our lab is represented MICCAI with 7 main conference papers (including an oral presentation) and a challenge. Huge kudos to our incredible students, clinicians, academic, and industry partners for making this possible! Check it out at #MICCAI2024!

Will AI models outperform dentists in detecting FD from intraoral images? Find out in Marawan's oral presentation in MICCAI 2024. Marawan Elbatel

Did you know that an organism starts with a single pix-cell? Marawan will present our poster today.

Would like to detect liver lesion from non-contrast CT? Welcome to join our challenge TriALS challenge organized by Marawan Elbatel and collaborators from Egypt! 时间：10:30 -12:30 地点：Borj1, Conference Center, MICCAI 2024

#MICCAI2024 ✨Glad to see Thoth and Anubis journey from Egypt 🇪🇬 to Marrakech 🇲🇦! Congratulations to all winners 🎉