In this paper, we propose an efficient annotation framework for brain MR images that can suggest informative sample images for human experts to annotate. We evaluate the framework on two different brain image analysis tasks, namely brain tumour …

Chengliang Dai's 19 research works with 129 citations and 1,941 reads, including: The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion)

View the Imperial College London profile of Chengliang Dai. Including their publications.

Oct 21, 2022 · ORCID record for Shuo Dai. ORCID provides an identifier for individuals to use with their name as they engage in research, scholarship, and innovation activities.

Apr 27, 2022 · Imperial College London: London, GB . 2018-11-01 to 2022-04-26 | Data Scientist/Research Associate (Data Science Institute) Employment Show more detail ... Chengliang Dai; Shuo Wang; Yuanhan Mo; Elsa Angelini; Yike Guo; Wenjia Bai Show more detail. Source ...

In this paper, we propose a gradient-guided sampling mechanism that can be used directly by a general AL framework to utilize the gradient of the loss term from the deep learning model for suggesting informative sam-ples for manual annotation. We explored two brain image segmentation tasks, brain tumour segmentation and whole brain segmentation.

Dec 1, 2021 · By density functional theory (DFT) calculations, we explored the possibility of using single-atom dispersed Cu or Co on two-dimensional (4 × 4 × 1) 2H-MoS 2 monolayer (Cu@2H-MoS 2 and Co@2H-MoS 2) to activate the inert basal planes of 2H-MoS 2 and to realize overall water splitting reaction.

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Nov 22, 2013 · Semantic Scholar profile for Shuo Dai, with 9 highly influential citations and 20 scientific research papers.