Fuying Wang
@kyrie0109
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Visiting Ph.D Student@Stanford, PhD@HKU
Hong Kong
Joined August 2017
Starting now (9:00am - 5:30pm)!! Join us for the @ICCVConference full-day workshop Computer Vision for Automated Medical Diagnosis (CVAMD) ( https://t.co/gdarXgAWFS) 📅 Oct 19 | 9:00–18:00 📍 Hawaii Convention Center, Room 314 Featuring leading voices in medical AI: @ShengLiu_
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🚨 Deadline Extended! ICCV 2025 Workshop CVAMD has extended the submission deadline to June 30 (AoE)! 📅 Workshop Date: October 19–20, 2025 (in conjunction with ICCV) 📍 Location: Honolulu, Hawaii 🌐 Website: https://t.co/GjPexyiFKY Feel free to share and submit! #ICCV2025
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🚨 Deadline Extended! ICCV 2025 Workshop CVAMD has extended the submission deadline to June 30 (AoE)! 📅 Workshop Date: October 19–20, 2025 (in conjunction with ICCV) 📍 Location: Honolulu, Hawaii 🌐 Website: https://t.co/GjPexyiFKY Feel free to share and submit! #ICCV2025
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🚨 Call for submission at our CVAMD workshop @ICCVConference in 🌴 Honolulu, Hawaii! Join us at #ICCV2025 to present your work on 🤖multimodal LLMs, 🧠 agents, & ⚖️ fair, reliable AI for healthcare and medicine. 🗓️ Deadline: June 21, 2025 🔗 More info: https://t.co/DqzyVqqx4S
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🚨 Call for submission at our CVAMD workshop @ICCVConference in 🌴 Honolulu, Hawaii! Join us at #ICCV2025 to present your work on 🤖multimodal LLMs, 🧠 agents, & ⚖️ fair, reliable AI for healthcare and medicine. 🗓️ Deadline: June 21, 2025 🔗 More info: https://t.co/DqzyVqqx4S
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Excited to share our #ICCV2023 workshop on "Computer Vision for Automated Medical Diagnosis"! Looking forward to exploring the potentials in medical diagnosis with AI! We co-host the CXR-LT challenge ( https://t.co/fS6YCXp9Z6) and invite submissions! CFP: https://t.co/kHlUageHb8
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Today’s AI radiology solutions don’t effectively account for past imaging findings despite their routine use by radiologists. BioViL-T jointly trains text and image encoders that can ground radiology text across longitudinal images:
microsoft.com
Today’s AI radiology solutions don’t effectively account for past imaging findings despite their routine use by radiologists. BioViL-T jointly trains text and image encoders that can ground radiology...
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This week, @kyrie0109 from HKU will be joining us to talk about multi-granularity cross-modal alignment for generalized medical visual representation learning. Catch it at 10-11am PT this Thursday on Zoom! Subscribe to https://t.co/6oTrfQjUkr
#ML #AI #medicine #healthcare
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