2 citations · 3 across the 4 of their papers we have counts for
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No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling
Young Seok Jeon, Hongfei Yang, Huazhu Fu +1
3D models surpass 2D models in CT/MRI segmentation by effectively capturing inter-slice relationships. However, the added depth dimension substantially increases memory consumption…
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images
Young Seok Jeon, Hongfei Yang, Mengling Feng
The encoder-decoder model is a commonly used Deep Neural Network (DNN) model for medical image segmentation. Conventional encoder-decoder models make pixel-wise predictions focusin…
Total Variation and Tight Frame Image Segmentation with Intensity Inhomogeneity
Raymond Chan, Hongfei Yang, Tieyong Zeng
Image segmentation is an important task in the domain of computer vision and medical imaging. In natural and medical images, intensity inhomogeneity, i.e. the varying image intensi…