86 citations · 267 across the 20 of their papers we have counts for
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An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models
Yuang Wang, Pengfei Jin, Li Zhang +3
Diffusion bridge models have demonstrated promising performance in conditional image generation tasks, such as image restoration and translation, by initializing the generative pro…
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation
Cheng Chen, Juzheng Miao, Dufan Wu +10
The Segment Anything Model (SAM), a foundation model for general image segmentation, has demonstrated impressive zero-shot performance across numerous natural image segmentation ta…
Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction
Dufan Wu, Kyungsang Kim, Quanzheng Li
Deep-neural-network-based image reconstruction has demonstrated promising performance in medical imaging for under-sampled and low-dose scenarios. However, it requires large amount…
End-to-end Lung Nodule Detection in Computed Tomography
Dufan Wu, Kyungsang Kim, Bin Dong +2
Computer aided diagnostic (CAD) system is crucial for modern med-ical imaging. But almost all CAD systems operate on reconstructed images, which were optimized for radiologists. Co…
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising
Dufan Wu, Kyungsang Kim, Georges El Fakhri +1
Image denoising techniques are essential to reducing noise levels and enhancing diagnosis reliability in low-dose computed tomography (CT). Machine learning based denoising methods…