Xiao (@xiaobird) 's Twitter Profile
Xiao

@xiaobird

Assistant Professor @Concordia University | PI of Health-X Lab | Medical imaging researcher & oxford comma user #neurosurgery #MRI #Ultrasound #ImageComputing

ID: 123091473

linkhttp://www.healthx-lab.ca calendar_today14-03-2010 23:51:50

2,2K Tweet

686 Followers

596 Following

Concordia University (@concordia) 's Twitter Profile Photo

Quebec Superior Court rules in Concordia’s favour on tuition changes, francization. Read a message from Concordia President Graham Carr on LinkedIn: bit.ly/42Ihu9w

Quebec Superior Court rules in Concordia’s favour on tuition changes, francization. Read a message from Concordia President Graham Carr on LinkedIn: bit.ly/42Ihu9w
Xiao (@xiaobird) 's Twitter Profile Photo

We are looking for PhD candidates for Sep 2025 or Jan 2026 admission to explore exciting technologies in neuro AI and neuro-feedback VR! 🧠⚡️

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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Today, I overheard a conversation about medical school students using ChatGPT to help with their studies, and doctors using it during practice. This gives the crucial reason to build the necessary mechanisms in safety-sensitive AI models so that it is not trusted blindly.

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Great work led by our MSc student Pascal to bridge medical virtual reality and conversational AI agent for interactive radiological segmentation and guidance! Check out the preprint: arxiv.org/abs/2505.07214 🙌

Great work led by our MSc student <a href="/pascalspiegler/">Pascal</a>  to bridge medical virtual reality and conversational AI agent for interactive radiological segmentation and guidance! 
Check out the preprint: arxiv.org/abs/2505.07214 🙌
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We look forward to discussing our work with you at CVPR2025 next week🙂. BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models youtu.be/YZSykfHkK_I?si…

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a=(x,y,d=mag(k=4*cos(x/29),e=y/7-13))=>point((q=3*sin(atan2(k,e)*19)+sin(y/19)*k*(9+2*sin(e*9-d*3+t/4)))+60*cos(c=d-t/8)+200,q*sin(c)+d*39-195) t=0,draw=$=>{t||createCanvas(w=400,w);background(9).stroke(w,146);for(t+=PI/15,i=1e4;i--;)a(i,i/235)}//#つぶやきProcessing

Xiao (@xiaobird) 's Twitter Profile Photo

Our trainee Taha Koleilat did a great job presenting at CVPR2025 today. It was great to discuss clinical computer vision with the community!

Our trainee Taha Koleilat did a great job presenting at CVPR2025 today. It was great to discuss clinical computer vision with the community!
Michael Black (@michael_j_black) 's Twitter Profile Photo

Peyman Milanfar Lucas Beyer (bl16) Indeed deep learning did change everything. And everything keeps changing. But the core goals of the field are rather constant and what changes is the technology we have to achieve them. To be relevant in CV, one must always adapt - MRFs, Bayesian inference, SVMs, CNNs,

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Congrats to our trainee Zirui Qiu (co-sup Hassan Rivaz ) for his accepted paper "Joint enhancement of automatic chest X-ray diagnosis and radiological gaze prediction with multi-stage cooperative learning" in Medical Physics! Preprint: arxiv.org/abs/2403.16970

Congrats to our trainee Zirui Qiu (co-sup <a href="/HassanRivaz/">Hassan Rivaz</a> ) for his accepted paper "Joint enhancement of automatic chest X-ray diagnosis and radiological gaze prediction with multi-stage cooperative learning" in Medical Physics! Preprint: arxiv.org/abs/2403.16970
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Congrats to our PhD trainee Soorena Salari (co-sup with Hassan Rivaz) and co-author Arash Harirpoush for their accepted #ICCV2025 paper "CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization"! 🧠arxiv.org/abs/2411.17845

Congrats to our PhD trainee <a href="/Soorena_Salari/">Soorena Salari</a> (co-sup with <a href="/HassanRivaz/">Hassan Rivaz</a>) and co-author <a href="/ArashHarirpoush/">Arash Harirpoush</a> for their accepted #ICCV2025 paper "CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization"! 🧠arxiv.org/abs/2411.17845
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Congrats to our PhD trainee Taha Koleilat (co-supervised with Hassan Rivaz ) for his paper "Medclip-samv2: Towards universal text-driven medical image segmentation" accepted in Medical Image Analysis! 🎊arxiv.org/abs/2409.19483

Congrats to our PhD trainee Taha Koleilat (co-supervised with <a href="/HassanRivaz/">Hassan Rivaz</a> ) for his paper "Medclip-samv2: Towards universal text-driven medical image segmentation" accepted  in Medical Image Analysis! 🎊arxiv.org/abs/2409.19483