Xiaomeng Li
@xiaomeng_hkust
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Assistant Professor @HKUST - Medical image analysis and deep learning. / former postdoc @Stanford
Hong Kong
Joined April 2018
#MICCAI2024 โจGlad to see Thoth and Anubis journey from Egypt ๐ช๐ฌ to Marrakech ๐ฒ๐ฆ! Congratulations to all winners ๐
๐ TriALS 2024 has concluded! Honoring the winners with monetary and honorary awards, inspired by Thoth (god of knowledge) and Anubis (protector of the afterlife). ๐ฅ @mic_dkfz โจ๐ฅ @ViCOROB โจ๐ฅ @enalmuo Congratulations to all participants and winners! #MICCAI2024
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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! ๆถ้ด๏ผ10:30 -12:30 ๅฐ็น๏ผBorj1, Conference Center, MICCAI 2024
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Did you know that an organism starts with a single pix-cell? Marawan will present our poster today.
๐ฑ Take the Quiz at #MICCAI2024! ๐ฑ Did you know that an organism starts with a single pix-cell? ๐งฌโจ ๐ Visit us at poster W-AM-019 from 10:30 to 11:30 am to explore our work on high-res image synthesis. ๐Quiz Link: https://t.co/qX3KYk4YfW
@MICCAI_Society @X_MedAI
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Will AI models outperform dentists in detecting FD from intraoral images? Find out in Marawan's oral presentation in MICCAI 2024. @marwankefah
๐จ #MICCAI2024 ! Wrapping up my first PhD year at @HKUST, and I'm thrilled to present our work on open-set detection for bone fenestration/dehiscence, and some exciting projects on fairness & high-res image synthesis! Join us in oral & poster sessions! @MICCAI_Society
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๐ 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!
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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!
๐จ Oral Presentation at #ECCV2024! ๐ซ Discover how CardiacNet reconstructs heart abnormalities for disease assessment from echocardiogram videos. ๐Oral Session 3B | Wednesday, Oct 2 | 9:20โ9:30 a.m. ๐Poster #154 | 10:30 a.m.โ12:30 p.m. ๐ Code & data: https://t.co/e229kbdXM6
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๐ง โจ Unlocking Number Sense with CLIP! Join us at #ECCV2024 ๐ฎ๐น and see how we teach CLIP to master ordinal regression! ๐ Poster #195 ๐Thu, Oct 3 | 4:30โ6:30 p.m. CEST GitHub: https://t.co/H3rAKtKcf4 Paper: https://t.co/5gBlnOsxuu
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Itโs 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. ๐ Participate Now: https://t.co/QKm6oC4Mfa
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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 โจ #MICCAI2024
@MICCAI_Society
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I am be attending #CVPR2024 in Seattle. Feel free to stop by our poster session and say hello!
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Looking for the SOTAs in Semi-supervised Semantic Segmentation? Check AllSpark to be presented at #CVPR2024 ๐ซ๐ฎ Paper: https://t.co/F1W83y1O2Y Code: https://t.co/XOMEaO1gC2
New SOTAs in Semi-supervised Semantic Segmentation with transformers! ๐๐ Check out our #CVPR2024 paper, AllSpark, a novel plug-and-play module that unlocks the potential of transformers for SSSS! ๐ก๐ง 1/N Paper: https://t.co/rXtxhmDKcs Code: https://t.co/R6upH5PiBW
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Many thanks to amazing collaborators Qixiang Zhang, Yi Li, @xiaomeng_hkust, and everyone who supported our work! ๐๐ก Check out the full paper for more details: https://t.co/rXtxhmDKcs ๐ Feedback and questions are welcome! 8/N
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New SOTAs in Semi-supervised Semantic Segmentation with transformers! ๐๐ Check out our #CVPR2024 paper, AllSpark, a novel plug-and-play module that unlocks the potential of transformers for SSSS! ๐ก๐ง 1/N Paper: https://t.co/rXtxhmDKcs Code: https://t.co/R6upH5PiBW
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A comprehensive benchmark with 4 x medical datasets and 12 x baselines for volumetric image segmentation available ๐ #NeurIPS #NeurIPS2023 2/2 https://t.co/1KlUpOQohL
github.com
NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation - xmed-lab/GenericSSL
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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. https://t.co/PFWliWuPt7
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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!
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#MICCAI2023 ๐จ๐ฆ! Extremely sparse-view CBCT reconstruction, aiming to reconstruct a high-quality CT volume from fewer than 10 projection views by @lyqun211. 7/n Paper: https://t.co/UJYt7GTEGG Code: https://t.co/fFVOvinj9Y
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#MICCAI2023 ๐จ๐ฆ! 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: https://t.co/UNDdvSaU3W Code: https://t.co/ND6v8zIxoG
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#MICCAI2023 ๐จ๐ฆ! 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: https://t.co/UNDdvSaU3W Code: https://t.co/ND6v8zIxoG
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