International journal of computer assisted radiology and surgery
Apr 14, 2026
PURPOSE: Real-time tracking of anatomical targets is critical in numerous clinical interventions. In magnetic resonance-guided therapies, targets are typically tracked only in 2D or pseudo-3D, and system latencies from image acquisition and processin... read more
BACKGROUND: Breast cancer metastasis remains a major clinical challenge due to its complex molecular mechanisms, highlighting the need to identify key regulatory factors. METHODS: Multiple breast cancer metastasis datasets were integrated to comprehe... read more
Clinical journal of the American Society of Nephrology : CJASN
Apr 14, 2026
BACKGROUND: Polycystic kidney disease (PKD) is the fourth leading cause of end-stage kidney disease. Although the condition is primarily genetic, environmental exposures such as air pollution may influence disease progression. METHODS: We investigate... read more
Glycans are complex carbohydrates that are integral to cancer progression and tumor biology. Conventional methods face challenges due to the structural diversity and low abundance of glycans, limiting the detection of cancer-associated glycan signatu... read more
In the past decade there has been an increasing attention towards the field of musical haptics for the listener, which concerns the creation and evaluation of systems conceived for conveying or augmenting music signals through the sense of touch. The... read more
IEEE transactions on pattern analysis and machine intelligence
Apr 14, 2026
Hierarchical classification aims to sort the object into a hierarchical structure of categories. For example, a bird can be categorized according to a three-level hierarchy of order, family, and species. Existing methods commonly address hierarchical... read more
IEEE transactions on pattern analysis and machine intelligence
Apr 14, 2026
The emergence of Large Vision-Language Models (LVLMs) marks significant strides towards achieving general artificial intelligence. However, these advancements are accompanied by concerns about biased outputs, a challenge that has yet to be thoroughly... read more
IEEE transactions on pattern analysis and machine intelligence
Apr 14, 2026
With the accumulation of resources in the era of big data and the rise of pre-trained models in deep learning, optimizing neural networks for various tasks often involves different strategies for fine-tuning pre-trained models versus training from sc... read more
IEEE transactions on neural networks and learning systems
Apr 14, 2026
Graph neural networks (GNNs) have achieved strong results on homophilic graphs with complete node attributes, yet their performance significantly deteriorates when faced with the combined challenges of heterophily and feature missingness. Heterophily... read more
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