A5100380059- Digital Imaging for Blood Diseases
- AI in cancer detection
- Emotion and Mood Recognition
- Gaze Tracking and Assistive Technology
- COVID-19 diagnosis using AI
- EEG and Brain-Computer Interfaces
Lanzhou University
2020-2024
Beijing Institute of Technology
2024
These days, physiological signals have been studied more broadly for emotion recognition to realize emotional intelligence in human-computer interaction. However, due the complexity of emotions and individual differences responses, how design reliable effective models has become an important issue. In this article, we propose a regularized deep fusion framework based on multimodal signals. After extracting features from different types signals, construct ensemble dense embeddings using...
Conventional methods for tumor diagnosis suffer from two inherent limitations: they are time-consuming and subjective. Computer-aided (CAD) is an important approach addressing these limitations. Pathology whole-slide images (WSIs) high-resolution tissue that have made significant contributions to cancer prognosis assessment. Due the complexity of WSIs availability only slide-level labels, multiple instance learning (MIL) has become primary framework WSI classification. However, most MIL fail...