BACKGROUND: Magnetic resonance imaging (MRI) in children requires multiple sequences, leading to lengthy exams and motion-related challenges. Synthetic MRI generates multiple contrasts from a single acquisition, and integration of 3D-quantification u... read more
BACKGROUND: Fontan-associated liver disease (FALD) is associated with morbidity and mortality in patients with palliated single ventricle congenital heart disease. OBJECTIVE: To develop machine learning models using radiomic features from T1-weighted... read more
Medical & biological engineering & computing
Feb 3, 2026
This paper introduces a novel densely connected neural network architecture designed for the pervasive visualisation of musculoskeletal system simulations. These simulations are built upon continuum-mechanical frameworks, which effectively integrate ... read more
Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive lung disease with a survival rate comparable to or worse than that of many cancers. Proper TGF-β signaling is essential for normal lung function, but its disruption plays a key role in pul... read more
Journal of clinical monitoring and computing
Feb 3, 2026
UNLABELLED: Heart rate (HR) reflects illness severity in critically ill patients, but the prognostic significance of early HR changes is unclear. We aimed to identify HR trajectory phenotypes during the first 24 h of ICU admission and assess their as... read more
MOTIVATION: The rapid expansion of three-dimensional (3D) biomolecular structure information, driven by breakthroughs in artificial intelligence/deep learning (AI/DL)-based structure predictions, has created an urgent need for scalable and efficient ... read more
IEEE transactions on pattern analysis and machine intelligence
Feb 3, 2026
Top-$k$ feature selection in sparse learning is a fundamental problem in machine learning. It is difficult to conquer due to the rigid $\ell _{2,0}$-norm constraint. Existing literature mostly relaxes the constraint and seeks the approximation of the... read more
IEEE transactions on pattern analysis and machine intelligence
Feb 3, 2026
Large-size very-high-resolution (VHR) remote sensing imagery has emerged as a critical data source for high-precision vector mapping of multi-scale geographical elements such as building, water, road and etc. When dealing with the large-size image, d... read more
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