Huazhu FU
@Hz_MedAIPrincipal Scientist in @ASTARsg . ☕AE of TNNLS, TMI, TAI, JBHI. 📚 Working on AI for Healthcare, and Trustworthy AI.
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Our latest research on "Uncertainty-inspired open set learning for retinal anomaly identification" has just been published with @SpringerNature in @NatureComms nature.com/articles/s4146…
Welcome to Singapore!
➡️ Breaking news! The AAAI Executive Council is thrilled to announce that AAAI-26 will be held in the vibrant city of Singapore! This marks a significant departure from our traditional North American venues and provides an amazing opportunity for AAAI to convene in a location…
Happy to share our latest work accepted by @IEEEorg TPAMI !☕️ AI models: High performance demands quality data & expensive hardware. We introduce a novel approach to project the model IP. ArXiv: shorturl.at/5SPhh
🏫 Welcome to apply #MICCAI Mentorship Program. 🌹 If you are a student/early career researcher, this program is for you! BTW, I am happy to be one of the Mentors. 😎
Are you an early-career researcher looking for advice from experts in academia or industry? Join the #MICCAI Mentorship Program to be matched with a mentor. 🗓️ Deadline: Aug 25 🔗Apply: surveymonkey.com/r/RL3FLH8 ℹ️ tinyurl.com/kjtve4ts @MiccaiStudents @WomenInMICCAI @RMiccai
Happy to share our new work on "Medical Image Analysis". This work proposes an explainable and evidential multiple instance learning framework for whole slide image classification. Link: t.ly/NQEEE
How Often Do #LLMs Hallucinate When Producing Medical Summaries? - MedCity News "almost all of the summaries" 🤔 Not surprised. buff.ly/3WLuQP8
Ready to start working with Llama 3.1? Here are a few new resources from the Llama team to help you get started. 🧵
I went through the Llama-3 technical report (92 pages!). The report is very detailed, and it will be hard to describe everything in a single tweet, but I will try to summarize it in the best possible way. Here we go... Overview - Standard dense Transformer with minor changes -…
Happy to share that our work was accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI; if: 20.8)! ArXiv version: arxiv.org/abs/2205.12857
🚨 [AI & PRIVACY] Singapore's Data Protection Authority publishes its "Proposed Guide on Synthetic Data Generation," and it's an interesting read for everyone in AI & privacy. Info & quotes: ➡ Among other topics, the proposed guide discusses a five-step approach to generating…
A paper in @Nature presents a method for detecting hallucinations in large language models (LLMs) that measures uncertainty in the meaning of generated responses. The approach could be used to improve the reliability of LLM output. go.nature.com/3xeNKWd
Will training on AI-generated synthetic data lead to the next frontier of vision models?🤔 Our new paper suggests NO—for now. Synthetic data doesn't magically enable generalization beyond the generator's original training set. 📜: arxiv.org/abs/2406.05184 Details below🧵(1/n)
🚨 BREAKING: The World Intellectual Property Organization – @WIPO publishes the "Patent Landscape Report on Generative AI," and it's a MUST-READ for everyone in AI. Below are the [impressive] key findings: "➵ 54,000 GenAI-related inventions (patent families) were filed and more…
We are thrilled to share that we have 11 papers accepted by @MICCAI_Society #MICCAI2024 (6 early accepted and 5 accepted after rebuttal)! 🎉 🎉 A huge thanks to all my students and collaborators! 🌹 See you in Morocco! 🍻
⚡️🔬📣 Excited to share our new @Nature article building and evaluating PathChat, a multimodal generative AI copilot and chatbot for human pathology. Article: nature.com/articles/s4158… Open Access Link: rdcu.be/dKC0r We leverage our previous success in building…
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MICCAI
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Shuo Li
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Sophia Bano
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IPCAI
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Zeju Li
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Chen (Cherise) Chen
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Xiaoxiao Li (Having Openings for PhD/Postdoc)
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Anirban Mukhopadhyay
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Camila González
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yuyin zhou
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Xiaomeng Li
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