7 citations · 40 across the 23 of their papers we have counts for
28 papers
TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging
Zihao Tang, Xinyi Wang, Lihaowen Zhu +5
Diffusion Weighted Imaging (DWI) is an advanced imaging technique commonly used in neuroscience and neurological clinical research through a Diffusion Tensor Imaging (DTI) model. V…
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds
Runkai Zhao, Heng Wang, Chaoyi Zhang +1
Digital neuron reconstruction from 3D microscopy images is an essential technique for investigating brain connectomics and neuron morphology. Existing reconstruction frameworks use…
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data
Qianbi Yu, Dongnan Liu, Chaoyi Zhang +2
Deep learning-based segmentation methods have been widely employed for automatic glaucoma diagnosis and prognosis. In practice, fundus images obtained by different fundus cameras v…
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
Dongnan Liu, Mariano Cabezas, Dongang Wang +16
Federated learning (FL) has been widely employed for medical image analysis to facilitate multi-client collaborative learning without sharing raw data. Despite great success, FL's…
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds
Heng Wang, Chaoyi Zhang, Jianhui Yu +1
Dense captioning in 3D point clouds is an emerging vision-and-language task involving object-level 3D scene understanding. Apart from coarse semantic class prediction and bounding…
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond
Tiange Xiang, Chaoyi Zhang, Xinyi Wang +4
U-Net, as an encoder-decoder architecture with forward skip connections, has achieved promising results in various medical image analysis tasks. Many recent approaches have also ex…