187 citations
- Fudan UniversityCN53 papers
- Frontiers Center for Brain Science of the Ministry of EducationCN7 papers
- Rensselaer Polytechnic InstituteUS6 papers
- Sichuan UniversityCN6 papers
- Shanghai Jiao Tong UniversityCN5 papers
- Chongqing Normal UniversityCN4 papers
- East China Normal UniversityCN4 papers
- Huashan HospitalCN4 papers
- Shanxi UniversityCN4 papers
- Tsinghua UniversityCN4 papers
- Chinese Academy of SciencesCN3 papers
- Shandong Institute of AutomationCN3 papers
9 papers · 1 filter
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts
Lisa Hemforth, Baptiste Couvy-Duchesne, Kevin De Matos +34
Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% of the general population.…
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation
Tao Chen, Chenhui Wang, Zhihao Chen +2
Medical image segmentation has been significantly advanced with the rapid development of deep learning (DL) techniques. Existing DL-based segmentation models are typically discrimi…
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Jihyeon Seong, Sekwang Oh, Jaesik Choi
Trend filtering simplifies complex time series data by applying smoothness to filter out noise while emphasizing proximity to the original data. However, existing trend filtering m…
Image-Text-Image Knowledge Transfer for Lifelong Person Re-Identification with Hybrid Clothing States
Qizao Wang, Xuelin Qian, Bin Li +2
With the continuous expansion of intelligent surveillance networks, lifelong person re-identification (LReID) has received widespread attention, pursuing the need of self-evolution…
Towards free-response paradigm: a theory on decision-making in spiking neural networks
Zhichao Zhu, Yang Qi, Wenlian Lu +3
The energy-efficient and brain-like information processing abilities of Spiking Neural Networks (SNNs) have attracted considerable attention, establishing them as a crucial element…
Evolutionary Preference Sampling for Pareto Set Learning
Rongguang Ye, Longcan Chen, Jinyuan Zhang +1
Recently, Pareto Set Learning (PSL) has been proposed for learning the entire Pareto set using a neural network. PSL employs preference vectors to scalarize multiple objectives, fa…