IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024 10 – 13 November 2024 Houston, TX USA Accurate whole-brain image enhancement for low-dose integrated PET/MR imaging through spatial brain…
read moreIEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024 10 – 13 November 2024 Houston, TX USA Non-Contact Blood Pressure Estimation from Radar Signals by a Stacked Deformable Convolution…
read moreIEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024 10 – 13 November 2024 Houston, TX USA Adaptive Multi-dimensional Weighted Network with Category-aware Contrastive Learning for Fine-grained Hand Bone…
read moreIEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024 10 – 13 November 2024 Houston, TX USA RegFSC-Net: Medical Image Registration via Fourier Transform with Spatial Reorganization and Channel…
read moreIEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024 10 – 13 November 2024 Houston, TX USA An Automated Analysis Framework for Epidemiological Survey on COVID-19 Lin, Zichao; Lin,…
read moreIEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024 10 – 13 November 2024 Houston, TX USA Discovering consensus regions for interpretable identification of RNA N6-methyladenosine modification sites via…
read moreEnhancing Motor Sequence Learning via Transcutaneous Auricular Vagus Nerve Stimulation (taVNS): An EEG Study C. Tang, L. Chen, Z. Wang, L. Zhang, B. Gu, X. Liu, D. Ming, Dong Motor…
read moreNoise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification Gu, J. Han, G-Z Yang, B. Lo, Motor Imagery (MI) Electroencephalography (EEG) is one of the most common Brain-Computer Interface…
read morePosition paper From the digital twins in healthcare to the Virtual Human Twin: a moon-shot project for digital health research Viceconti, Marco; De Vos, Maarten; Mellone, Sabato; Geris, Liesbet. The…
read moreA High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG Cui, Hongyan; Chi, Xinyi; Wang, Lei; Chen, Xiaogang Hybrid brain-computer interfaces (BCIs) that combine more than two modes are…
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