Predicting curve progression during the initial visit is pivotal in the disease management of
patients with adolescent idiopathic scoliosis (AIS)—identifying patients at high risk of …

We propose a novel finite element-based physics-informed operator learning framework that
allows for predicting spatiotemporal dynamics governed by partial differential equations …

Forecasting tumor progression and assessing the uncertainty of predictions play a crucial
role in clinical settings, especially for determining disease outlook and making informed …

Preserving features or local shape characteristics of a mesh using conventional non-rigid
registration methods is always difficult, as the preservation and deformation are competing …

Automatic rib labeling and anatomical centerline extraction are common prerequisites for
various clinical applications. Prior studies either use in-house datasets that are inaccessible …

4D-scans of dynamic deformable human body parts help researchers have a better
understanding of spatiotemporal features. However, reconstructing 4D-scans utilizing …

Background Adolescent idiopathic scoliosis (AIS) affects up to 5% of the population. The
efficacy of school-aged screening remains controversial since it is uncertain which …

Neoadjuvant chemotherapy (NAC) is a standard-of-care treatment for locally advanced triple
negative breast cancer (TNBC) before surgery. The early assessment of TNBC response to …

Connected vehicles control has brought the opportunity of using a higher level of Traffic
Management Center (TMC) to investigate the driving-related terms of congestion avoidance …

Wearables are used to recognize human activities in various applications. However, there is
limited evidence on the comfort feelings in using wearables, which is crucial for the adoption …