5 citations · 6 across the 9 of their papers we have counts for
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cs.CV2024
SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement
Yunkui Pang, Yilin Liu, Xu Chen +2
Cone Beam Computed Tomography (CBCT) finds diverse applications in medicine. Ensuring high image quality in CBCT scans is essential for accurate diagnosis and treatment delivery. Y…
cs.CV2024
Circle Representation for Medical Instance Object Segmentation
Juming Xiong, Ethan H. Nguyen, Yilin Liu +8
Recently, circle representation has been introduced for medical imaging, designed specifically to enhance the detection of instance objects that are spherically shaped (e.g., cells…
cs.CV2019★ 5 cited
Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network
Yilin Liu, Gengyan Zhao, Brendon M. Nacewicz +5
Recent advances in deep learning have improved the segmentation accuracy of subcortical brain structures, which would be useful in neuroimaging studies of many neurological disorde…