🌟 Exciting Opportunity for Chinese Students! 🌟 Visit our group page: yanglab.fyi for possible research directions, or contact me directly to discuss. #PhDscholarship #ChinaScholarshipCouncil #ImperialCollegeLondon #CSCImperialScholarship imperial.ac.uk/study/fees-and…

🎉 Huge congratulations to Xiaodan Xing once again on publishing our latest research in the #Neurocomputing journal! 📚 🔗 Dive into the full paper: sciencedirect.com/science/articl… #Immunofluorescence #Brightfield #DiffusionModels #CellBiology #DrugDevelopment #GenerativeModels 🚀👏

Recently turned down industry offers—big salaries💰—because nothing beats seeing my students succeed 🎓📚. Proud of them, and they’re already surpassing me at their stage 👏🌟. Remember: You’re exactly where you need to be. No rush—be happy 😊, and you’ll hit that buzzer! 🎯🚀

#AIAutophagy: When AI feeds on its outputs, risks like #GenerativeAI model collapse & diversity loss emerge. 🔍 Key Insights: ✅ Silent contamination of datasets 🕵️ Harder to spot synthetic vs real data 🔒 Policies lag in #transparency & #ethics 🔗 Read: lnkd.in/eH2-6WSN

Big congrats to Dr Michael Tänzer, who has just defended his #PhD! #ArtificialIntelligence enabled highly efficient #DiffusionTensor #Cardiac #MagneticResonance Worked with Daniel Rueckert, Sonia Nielles-Vallespin, and myself. lnkd.in/eDf6QtNc

🫀Our latest work, Bridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in #echocardiography, is now published in #MedicalImageAnalysis journal. 📄 Read the full paper here: lnkd.in/eNi_6CPP #ExplainableAI #NLP

🧠 Excited to share our new #paper on #MedicalImageRetrieval! We propose ACIR, a novel framework that tackles #OOD detection & enhances content-based ranking. 🚀 Achieved SOTA results with improved mAP (5.6–38.9%)! 📄 Read it here: doi.org/10.1016/j.medi… #AIinHealthcare

🚨 ISBI 2026 is coming to London! 🇬🇧🗓️ Join us April 8-11 for cutting-edge tech innovations in biomedical imaging! 🔬✨ Save the date – see you in London! 🧠 biomedicalimaging.org/2026/welcome/ #ISBI2026 #BiomedicalImaging #TechInnovation #London2026

AI framework removes lung opacities in CXR images, boosting segmentation & classification accuracy! 🩻 ✨ With adaptive masks & cross-domain alignment. #AI #Healthcare #deeplearningbox Read our paper here: doi.org/10.1016/j.patr…

The greatest joy of being an advisor? When my student shines, I just stand by and reflect the light ✨😎 Super proud of my student Fanwen Wang, Jiahao Huang, Yinzhe Wu and others for winning 2nd Place 🥈 in the #ISBI2025 Best Poster Award! #BestPosterAward #StudentRocks

🤔 How Can AI Address the Challenges of Multi-scenario Fast MRI with One Model? 🤔 🔗 Read the full paper here: lnkd.in/dUXNTNaZ #AIinHealthcare #MedicalImaging #DeepLearning #AI #SyntheticData #Physics #FastMRI #ImageReconstruction

#WellcomeLeap #DynamicResilience #meeting in #Singapore! 👏 Amidst chaos, we are fortunate to have this research platform. Thanks to Lynne Cox, Eva Ramos-Fernández and Alessandro Chioino! 👍

🚀 Thrilled to share our new paper on forecasting #IPF progression via follow-up CT generation! 🫁🖼️ We propose a lung structure & function–guided residual #diffusionmodels 🤖✨—with 2.5D #synthesis, structural attention, and #CLIP-based guidance! 📊🧬 📄lnkd.in/ek_Cx42t

🚨 New paper! We benchmarked 9 LVLMs (GPT-4o, Gemini, Huatuo-34B...) on clinical reasoning & safety. 🧪 RadVUQA benchmark 🧠 Hallucination & robustness analysis 📂 Code + data: github.com/Nandayang/RadV… 📄 Paper: ieeexplore.ieee.org/document/10976… #AI #LVLM #MedAI #GPT4o #AIForHealth #VQA

Please join The 28th #BMVA #ComputerVision #SummerSchool @ University of #Aberdeen : 7th - 11th July 2025 cvss.bmva.org

🚀 Breaking barriers in fast dynamic MRI with DeepSSL Our physics-informed, separable learning approach boosts training data ~200× 📈 & excels with 75% less data Revolutionizing #MRI with less data, more power💡🧠 🔗 lnkd.in/ePt-36XH #FastMRI #DeepLearning #MedicalImage

📚 Excited to announce our new book on Trustworthy AI in Cancer Imaging Research! 🌟 by: I Chouvarda, S Colantonio, G Tsakou, Guang Yang #AI #TrustworthyAI #CancerImaging #Research #Healthcare #AIethics #MedicalResearch #NewBook #AcademicPublishing 🔗 link.springer.com/book/10.1007/9…