23 citations · 38 across the 9 of their papers we have counts for
10 papers
A microstructure estimation Transformer inspired by sparse representation for diffusion MRI
Tianshu Zheng, Cong Sun, Weihao Zheng +7
Diffusion magnetic resonance imaging (dMRI) is an important tool in characterizing tissue microstructure based on biophysical models, which are complex and highly non-linear. Resol…
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
Xinru Zhang, Chenghao Liu, Ni Ou +5
Brain lesion segmentation provides a valuable tool for clinical diagnosis, and convolutional neural networks (CNNs) have achieved unprecedented success in the task. Data augmentati…
Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations
Zipei Zhao, Fengqian Pang, Zhiwen Liu +1
Cell detection in histopathology images is of great value in clinical practice. \textit{Convolutional neural networks} (CNNs) have been applied to cell detection to improve the det…
Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts
Qi Lu, Chuyang Ye
Convolutional neural networks (CNNs) have achieved stateof-the-art performance for white matter (WM) tract segmentation based on diffusion magnetic resonance imaging (dMRI). These…
Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation
Shen Wang, Kongming Liang, Chengwei Pan +5
The midline related pathological image features are crucial for evaluating the severity of brain compression caused by stroke or traumatic brain injury (TBI). The automated midline…
Knowledge Transfer between Datasets for Learning-based Tissue Microstructure Estimation
Yu Qin, Yuxing Li, Zhiwen Liu +1
Learning-based approaches, especially those based on deep networks, have enabled high-quality estimation of tissue microstructure from low-quality diffusion magnetic resonance imag…