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