For the skeleton-based gesture recognition, graph convolutional networks (GCNs) have
achieved remarkable performance since the human skeleton is a natural graph. However …

Brain magnetic resonance imaging (MRI) offers a unique lens to study neuroanatomic
support of human neurocognition. A core mystery is the MRI explanation of individual …

Early diagnosis plays a pivotal role in handling the global health challenge posed by liver
diseases. However, early-stage lesions are typically quite small, presenting significant …

Exploring the relationship between the cognitive ability and infant cortical structural and
functional development is critically important to advance our understanding of early brain …

During the early postnatal period, the human brain undergoes rapid and dynamic
development. Over the past decades, there has been increased attention in studying the …

Gestures exhibit sparse joint variations and different time scales, making local dynamic
analysis and global spatio-temporal modeling important. Path signature provides …

Neurodevelopment is exceptionally dynamic and critical during infancy, as many
neurodevelopmental disorders emerge from abnormal brain development during this stage …

The 12-volume set LNCS 15001-15012 constitutes the proceedings of the 27th International
Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024 …

儿童时期是脑智发育的关键阶段, 探索这一阶段脑智发育的规律和影响因素具有重要意义.
随着技术的发展, 磁共振成像已成为儿童脑智研究的首选脑成像方法. 该文综述了不同的磁共振 …

It is currently acknowledged that relying solely on conventional classification strategies from
a single data source is not effective to understand, diagnose or prognose psychiatric …