23 citations · 78 across the 17 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…