1 citations · 1 across the 6 of their papers we have counts for
7 papers
Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging
Tan Pan, Shuhao Mei, Yixuan Sun +8
Self-supervised pre-training methods in medical imaging typically treat each individual as an isolated instance, learning representations through augmentation-based objectives or m…
Testing template-fitting models for the multipoles of the two-point clustering of galaxy clusters
Euclid Collaboration, E. Tsaprazi, A. Fumagalli +274
The \textit{Euclid} satellite will deliver a catalogue of optically-selected galaxy clusters spanning from around deg in Data Release (DR) 1 to around deg…
A geometry aware framework enhances noninvasive mapping of whole human brain dynamics
Song Wang, Kexin Lou, Chen Wei +8
Non-invasive electrophysiology lacks methods that accurately reconstruct whole-brain spatiotemporal dynamics while incorporating individual cortical geometry, leaving current elect…
Fronto-parietal and fronto-temporal EEG coherence as predictive neuromarkers of transcutaneous auricular vagus nerve stimulation response in treatment-resistant schizophrenia: A machine learning study
Yapeng Cui, Ruoxi Yun, Shumin Zhang +16
Response variability limits the clinical utility of transcutaneous auricular vagus nerve stimulation (taVNS) for negative symptoms in treatment-resistant schizophrenia (TRS). This…
Rethinking Time Series Domain Generalization via Structure-Stratified Calibration
Jinyang Li, Shuhao Mei, Xiaoyu Xiao +3
For time series arising from latent dynamical systems, existing cross-domain generalization methods commonly assume that samples are comparably meaningful within a shared represent…
SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting
Shuhao Mei, Yongchao Long, Xiaoyu Xiao +6
Chronic Obstructive Pulmonary Disease (COPD), a major chronic respiratory disease with persistent airflow limitation, is a leading global cause of disability and mortality. Respira…