23 citations · 78 across the 17 of their papers we have counts for
17 papers
Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap
Wan Liu, Chuyang Ye
White matter (WM) tract segmentation is a crucial step for brain connectivity studies. It is performed on diffusion magnetic resonance imaging (dMRI), and deep neural networks (DNN…
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Xinru Zhang, Ni Ou, Chenghao Liu +3
Automated brain tumor segmentation based on deep learning (DL) has achieved promising performance. However, it generally relies on annotated images for model training, which is not…
One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation
Wan Liu, Qi Lu, ZhiZheng Zhuo +2
Deep learning based methods have achieved state-of-the-art performance for automated white matter (WM) tract segmentation. In these methods, the segmentation model needs to be trai…
Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes
Wan Liu, Yuqian Chen, Chuyang Ye +5
Neuroimaging measures of the brain's white matter connections can enable the prediction of non-imaging phenotypes, such as demographic and cognitive measures. Existing works have i…
Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations
Zipei Zhao, Fengqian Pang, Yaou Liu +2
Cell detection in histopathology images is of great interest to clinical practice and research, and convolutional neural networks (CNNs) have achieved remarkable cell detection res…
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…
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
Wenhui Cui, Yanlin Liu, Yuxing Li +6
Automated brain lesion segmentation provides valuable information for the analysis and intervention of patients. In particular, methods based on convolutional neural networks (CNNs…
Subdivisions of the posteromedial cortex in disorders of consciousness
Yue Cui, Ming Song, Darren M. Lipnicki +6
Evidence suggests that disruptions of the posteromedial cortex (PMC) and posteromedial corticothalamic connectivity contribute to disorders of consciousness (DOCs). While most prev…
Learning-based Ensemble Average Propagator Estimation
Chuyang Ye
By capturing the anisotropic water diffusion in tissue, diffusion magnetic resonance imaging (dMRI) provides a unique tool for noninvasively probing the tissue microstructure and o…
Fiber Orientation Estimation Guided by a Deep Network
Chuyang Ye, Jerry L. Prince
Diffusion magnetic resonance imaging (dMRI) is currently the only tool for noninvasively imaging the brain's white matter tracts. The fiber orientation (FO) is a key feature comput…
Estimation of Tissue Microstructure Using a Deep Network Inspired by a Sparse Reconstruction Framework
Chuyang Ye
Diffusion magnetic resonance imaging (dMRI) provides a unique tool for noninvasively probing the microstructure of the neuronal tissue. The NODDI model has been a popular approach…
Estimation of Fiber Orientations Using Neighborhood Information
Chuyang Ye, Jiachen Zhuo, Rao P. Gullapalli +1
Data from diffusion magnetic resonance imaging (dMRI) can be used to reconstruct fiber tracts, for example, in muscle and white matter. Estimation of fiber orientations (FOs) is a…