Publications (10)
Structure Unbiased Adversarial Model for Medical Image Segmentation
Tianyang Zhang, Shaoming Zheng, Jun Cheng +7
Generative models have been widely proposed in image recognition to generate more images where the distribution is similar to that of the real ones. It often introduces a discrimin…
WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration
Xinxing Cheng, Xi Jia, Wenqi Lu +4
Deep image registration has demonstrated exceptional accuracy and fast inference. Recent advances have adopted either multiple cascades or pyramid architectures to estimate dense d…
MCM: Mamba-based Cardiac Motion Tracking using Sequential Images in MRI
Jiahui Yin, Xinxing Cheng, Jinming Duan +4
Myocardial motion tracking is important for assessing cardiac function and diagnosing cardiovascular diseases, for which cine cardiac magnetic resonance (CMR) has been established…
Fourier-Net: Fast Image Registration with Band-limited Deformation
Xi Jia, Joseph Bartlett, Wei Chen +6
Unsupervised image registration commonly adopts U-Net style networks to predict dense displacement fields in the full-resolution spatial domain. For high-resolution volumetric imag…
SACB-Net: Spatial-awareness Convolutions for Medical Image Registration
Xinxing Cheng, Tianyang Zhang, Wenqi Lu +3
Deep learning-based image registration methods have shown state-of-the-art performance and rapid inference speeds. Despite these advances, many existing approaches fall short in ca…
Decoder-Only Image Registration
Xi Jia, Wenqi Lu, Xinxing Cheng +1
In unsupervised medical image registration, the predominant approaches involve the utilization of a encoder-decoder network architecture, allowing for precise prediction of dense,…