Accurate prediction of placental diseases via whole slide images (WSIs) is
critical for preventing severe maternal and fetal complications. However, WSI
analysis presents significant computational challenges due to the massive data
volume. Existing... read more
In recent years, traffic encryption technology has been widely adopted for user information protection, leading to a substantial increase in encrypted traffic in communication networks. To address issues such as unclear local key features and low cla... read more
Journal of chemical information and modeling
Aug 5, 2025
The use of artificial intelligence (AI) is increasingly integral to the drug-discovery process, and among AI-driven methodologies, deep generative models stand out as one of the most promising approaches for hit identification and optimization. Here,... read more
This study employed machine learning models to quantitatively analyze liver fat content from MRI images for the evaluation of liver fibrosis and disease severity in patients with metabolic dysfunction-associated fatty liver disease (MAFLD). A total o... read more
Driven by the increasing demand for applications in augmented and virtual
reality, egocentric action recognition has emerged as a prominent research
area. It is typically divided into two subtasks: recognizing the performed
behavior (i.e., verb com... read more
Generating longitudinal and multi-layered big biological data is crucial for effectively implementing artificial intelligence (AI) and systems biology approaches in characterising whole-body biological functions in health and complex disease states. ... read more
Journal of imaging informatics in medicine
Aug 5, 2025
Adequate withdrawal time is crucial in colonoscopy, as it is directly associated with polyp detection rates. However, traditional withdrawal time measurements can be biased by non-observation activities, leading to inaccurate assessments of procedura... read more
We introduce FPG-NAS, a FLOPs-aware Gated Differentiable Neural Architecture
Search framework for efficient 6DoF object pose estimation. Estimating 3D
rotation and translation from a single image has been widely investigated yet
remains computation... read more
Fibrillar protein hydrogels are promising sustainable biomaterials for biomedical applications, but their practical use is often limited by insufficient mechanical strength and stability. To address these challenges, we transformed native proteins in... read more
We introduce MegaWika 2, a large, multilingual dataset of Wikipedia articles
with their citations and scraped web sources; articles are represented in a
rich data structure, and scraped source texts are stored inline with precise
character offsets ... read more
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