827 citations · 984 across the 10 of their papers we have counts for
10 papers
Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection
Tao Lei, Yetong Xu, Hailong Ning +4
Popular Transformer networks have been successfully applied to remote sensing (RS) image change detection (CD) identifications and achieve better results than most convolutional ne…
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation
Rui Sun, Tao Lei, Weichuan Zhang +3
The hybrid architecture of convolution neural networks (CNN) and Transformer has been the most popular method for medical image segmentation. However, the existing networks based o…
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
Tao Lei, Rui Sun, Xuan Wang +3
The hybrid architecture of convolutional neural networks (CNNs) and Transformer are very popular for medical image segmentation. However, it suffers from two challenges. First, alt…
Quantum classifiers for domain adaptation
Xi He, Feiyu Du, Mingyuan Xue +3
Transfer learning (TL), a crucial subfield of machine learning, aims to accomplish a task in the target domain with the acquired knowledge of the source domain. Specifically, effec…
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang, Tao Lei, Ruixia Cui +3
Deep learning has been widely used for medical image segmentation and a large number of papers has been presented recording the success of deep learning in the field. In this paper…
Optimal Number of Clusters by Measuring Similarity among Topographies for Spatio-temporal ERP Analysis
Reza Mahini, Peng Xu, Guoliang Chen +6
Averaging amplitudes over consecutive time samples within a time-window is widely used to calculate the amplitude of an event-related potential (ERP) for cognitive neuroscience. Ob…
Adaptive Morphological Reconstruction for Seeded Image Segmentation
Tao Lei, Xiaohong Jia, Tongliang Liu +3
Morphological reconstruction (MR) is often employed by seeded image segmentation algorithms such as watershed transform and power watershed as it is able to filter seeds (regional…
A search for weakly decaying b-flavored pentaquarks
LHCb collaboration, R. Aaij, B. Adeva +790
Investigations of the existence of pentaquark states containing a single (anti)quark decaying weakly into four specific final states J/, J/, J/$ψK^- π^+…
Measurement of the branching fractions
LHCb collaboration, R. Aaij, C. Abellán Beteta +730
The branching fraction of the decay is measured using collision data corresponding to an integrated luminosity of …
Diffusion map for clustering fMRI spatial maps extracted by independent component analysis
Tuomo Sipola, Fengyu Cong, Tapani Ristaniemi +4
Functional magnetic resonance imaging (fMRI) produces data about activity inside the brain, from which spatial maps can be extracted by independent component analysis (ICA). In dat…