Xiaomeng Li @xiaomeng_hkust
Assistant Professor @HKUST - Medical image analysis and deep learning. / former postdoc @Stanford xmengli.github.io Hong Kong Joined April 2018-
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Xiaomeng Li retweeted
#MICCAI2024 ✨Glad to see Thoth and Anubis journey from Egypt 🇪🇬 to Marrakech 🇲🇦! Congratulations to all winners 🎉
#MICCAI2024 ✨Glad to see Thoth and Anubis journey from Egypt 🇪🇬 to Marrakech 🇲🇦! Congratulations to all winners 🎉 https://t.co/26a7EDjKcs
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Would like to detect liver lesion from non-contrast CT? Welcome to join our challenge TriALS challenge organized by @marwankefah and collaborators from Egypt! 时间：10:30 -12:30 地点：Borj1, Conference Center, MICCAI 2024
Did you know that an organism starts with a single pix-cell? Marawan will present our poster today.
Did you know that an organism starts with a single pix-cell? Marawan will present our poster today.
Will AI models outperform dentists in detecting FD from intraoral images? Find out in Marawan's oral presentation in MICCAI 2024. @marwankefah
Will AI models outperform dentists in detecting FD from intraoral images? Find out in Marawan's oral presentation in MICCAI 2024. @marwankefah https://t.co/xAK7Fl7HgV
Xiaomeng Li retweeted
🚀 Thrilled our lab is represented @MICCAI_Society 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!
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!
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!
Xiaomeng Li retweeted
🧠✨ 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
Xiaomeng Li retweeted
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
Xiaomeng Li retweeted
Interested in how @CVPR 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
Xiaomeng Li retweeted
A trio of firsts alongside @KaoutherMouheb: 1st MICCAI in AFRICA, 1st-year PhD, 1st MICCAI acceptance (3 papers). Thanks to all collaborators especially @KostasKamnitsas, @esther_bron, and @xiaomeng_hkust . Stay tuned for details ✨ #MICCAI2024 @MICCAI_Society
I am be attending #CVPR2024 in Seattle. Feel free to stop by our poster session and say hello!
Xiaomeng Li retweeted
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…
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… https://t.co/28q1QXJR2o
Xiaomeng Li retweeted
Many thanks to amazing collaborators Qixiang Zhang, Yi Li, @xiaomeng_hkust, and everyone who supported our work! 🙌💡 Check out the full paper for more details: arxiv.org/abs/2403.01818 📖 Feedback and questions are welcome! 8/N
Xiaomeng Li retweeted
New SOTAs in Semi-supervised Semantic Segmentation with transformers! 🚀🎉 Check out our #CVPR2024 paper, AllSpark, a novel plug-and-play module that unlocks the potential of transformers for SSSS! 💡🔧 1/N Paper: arxiv.org/abs/2403.01818 Code: github.com/xmed-lab/AllSp…
Xiaomeng Li retweeted
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…
Xiaomeng Li retweeted
One day left until the Digital Pathology and Data Intelligence workshop at HKUST! Excited to welcome speakers including Prof. @james_y_zou, sharing their expertise in medical image analysis. Zoom Link Reg. bdi.hkust.edu.hk/bdi_ai4s
Xiaomeng Li retweeted
Multiple AI-in-imaging PhD and Postdoc hiring in my group at Case Western Reserve University. Email me if you are interested!
Xiaomeng Li retweeted
#MICCAI2023 🇨🇦! Extremely sparse-view CBCT reconstruction, aiming to reconstruct a high-quality CT volume from fewer than 10 projection views by @lyqun211. 7/n Paper: arxiv.org/abs/2303.06681 Code: github.com/xmed-lab/DIF-N…
👍👍
Xiaomeng Li retweeted
#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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