ahajournals.org

Development and Validation of Dynamic Prediction Model for Thromboembolic and Bleeding Risk in Patients With Atrial Fibrillation Initiating Direct Oral Anticoagulants

Current tools for assessing ischemic stroke and bleeding risks in patients with atrial fibrillation focus on warfarin users and initial therapy decisions; however, dynamic models for reassessing these ...
GitHub

[CVPR 2025] UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting

UniPre3D is the first unified pre-training method for 3D point clouds that effectively handles both object- and scene-level data through cross-modal Gaussian splatting. Our proposed pre-training task ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
IEEE

Frequency-Driven Visual State Space Model with Cross-Scale Spatial Aggregation for Hyperspectral and LiDAR Classification

Abstract: Pixel-level land cover classification (LCC) is a fundamental and challenging task in Earth observation. Recently, the integration of hyperspectral imagery (HSI) and light detection and ...
IEEE

Mamba Cross-Modal Information Fusion Self-Distillation Model for Joint Classification of LiDAR and Hyperspectral Data

Abstract: Recent studies have found that compared to single-modal data, the joint classification of hyperspectral image (HSI) and light detection and ranging (LiDAR) multimodal data can use their ...