79 citations
- Beijing Institute of TechnologyCN3 papers
- Villanova UniversityUS3 papers
- Air Force Engineering UniversityCN1 paper
- École de Technologie SupérieureCA1 paper
- Laboratoire d'imagerie, de vision et d'intelligence artificielle1 paper
- UiT The Arctic University of NorwayNO1 paper
- Vrije Universiteit AmsterdamNL1 paper
- Xi'an Jiaotong UniversityCN1 paper
- Xidian UniversityCN1 paper
- Xijing HospitalCN1 paper
11 papers
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck
Kaizhong Zheng, Shujian Yu, Baojuan Li +2
Developing a new diagnostic models based on the underlying biological mechanisms rather than subjective symptoms for psychiatric disorders is an emerging consensus. Recently, machi…
RPCA-Based High Resolution Through-the-Wall Human Motion Detection and Classification
Qiang An, Shuoguang Wang, Wenji Zhang +4
Radar based assisted living has received great amount of research interest in recent years. By employing the micro-Doppler features of indoor human motions, accurate recognition an…
Range-Max Enhanced Ultra-Wideband Micro-Doppler Signatures of Behind Wall Indoor Human Activities
Qiang An, Shuoguang Wang, Ahmad Hoorfar +4
Penetrating detection and recognition of behind wall indoor human activities has drawn great attentions from social security and emergency service department in recent years since…
2-D Coherence Factor for Sidelobe and Ghost Suppressions in Radar Imaging
Shiyong Li, Moeness Amin, Qiang An +2
The coherence factor (CF) is defined as the ratio of coherent power to incoherent power received by the radar aperture. The incoherent power is computed by the multi-antenna receiv…
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Jose Dolz, Xiaopan Xu, Jerome Rony +7
Precise segmentation of bladder walls and tumor regions is an essential step towards non-invasive identification of tumor stage and grade, which is critical for treatment decision…
Dynamic control of defective gap mode through defect location
Lei Chang, Yinghong Li, Yun Wu +2
A 1D model is developed for defective gap mode (DGM) with two types of boundary conditions: conducting mesh and conducting sleeve. For a periodically modulated system without defec…