Xiao
@xiaobird
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Associate Professor @Concordia University | PI of Health-X Lab | Medical imaging researcher & oxford comma user #neurosurgery #MRI #Ultrasound #ImageComputing
Montreal, Quebec
Joined March 2010
We are looking for PhD candidates for Sep 2025 or Jan 2026 admission to explore exciting technologies in neuro AI and neuro-feedback VR! 🧠⚡️
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The proper respect/acknowledge to groups that create medical imaging data is at times overlooked by the AI/CV community, particularly those who just want to dab on medical fields. This may be led by the practices of the big corporations in data collection. We should do better.
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I watched the film again after a very long time on my flight. It is a masterpiece about living the moments
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The best way to become good at something might surprise you - David Epstein
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Today's AI agents are optimized to complete tasks in one shot. But real-world tasks are iterative, with evolving goals that need collaboration with users. We introduce collaborative effort scaling to evaluate how well agents work with people—not just complete tasks 🧵
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One side effect of AI-based paper editing is the loss of personal writing styles that should be appreciated... a lot of text now read very generic...
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ICCV2025 was a blast! A week of learning, connecting with new friends, and receiving feedback on our work. I am very proud to see the growth & achievements of our trainees at Health-X Lab👏.
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We are grateful that MedCLIP-SAM has received great feedback from the community. We would also like to encourage correct citation of our work when building upon the framework and code. 🙂
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Benchmarks are both blessing and curse for making real impactful progresses
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Did @SakanaAILabs's AI plagiariaze my 2015 paper "Regularizing RNNs by Stabilizing Activations" - Krueger and Memisevic? And what would constitute plagiarism here? A Nature News Feature by Ananya investigates... 🧵 @jeffclune @hardmaru
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Congrats to our MSc trainee Pascal Spiegler for completing his thesis defence with an outstanding rating!
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Fast, robust and interpretable automatic tissue motion tracking is highly desirable in 2D-Cine MRI-guided radiotherapy🩻. In our new IEEE TBME paper, in collaboration with @Elekta, our PhD trainee @Soorena_Salari developed DINOMotion to address the need: https://t.co/FTk0DzY95n
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Congrats to our PhD trainee Taha Koleilat (co-supervised with @HassanRivaz ) for his paper "Medclip-samv2: Towards universal text-driven medical image segmentation" accepted in Medical Image Analysis! 🎊 https://t.co/EeOOPLx3Rg
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