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AIML Special Presentation: Data-centric Computer Vision – A Practice

Dr Xin Yu

Dr Xin Yu is a senior lecturer at the ÐÓ°ÉÖ±²¥ of Queensland. He is an ÐÓ°ÉÖ±²¥n Research Council (ARC) Discovery Early Career Researcher Award 2023-2025 (DECRA) recipient and an awardee of the prestigious Google Research Scholar Program in 2021. He received his PhD degrees from both the ÐÓ°ÉÖ±²¥n National ÐÓ°ÉÖ±²¥ and Tsinghua ÐÓ°ÉÖ±²¥. His research interests involve various Computer Vision and Machine Learning topics, especially in visual data quality enhancement and recovery, human movement understanding, medical imaging analysis, and multimodal data understanding.

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Lifeblood Information Session

Lifeblood at AIML

Did you know that a plasma donation is needed in ÐÓ°ÉÖ±²¥ every 18 seconds? Giving plasma is an easy, rewarding, and truly life-saving way we can give back to the community. Andrew Chadwick from Lifeblood ÐÓ°ÉÖ±²¥ visited AIML to give a presentation to discuss how donors can get engaged with Lifeblood ÐÓ°ÉÖ±²¥, highlighting the eligibility requirements needed in order to donate plasma.

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AIML Research Seminar - Professor Erik Dam

Professor Erik Dam

There are thousands of 3D medicals scans available with potential for understanding disease progression and phenotypes. However, without accurate and detailed annotations, machine learning methods are challenged. In particular, biomechanics models need a dense, anatomically meaningful coordinate system to simulate physiology or to do focal statistics across populations or across time. One such analysis is to understand progression of knee osteoarthritis, through statistics of shape models including bones, cartilages, and ligaments derived from thousands of knee MRI. 

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