As Vision-Language Models (VLMs) are increasingly deployed in split-DNN
configurations--with visual encoders (e.g., ResNet, ViT) operating on user
devices and sending intermediate features to the cloud--there is a growing
privacy risk from semantic... read more
ABSTRACT: People in low- and middle-income countries face many obstacles when trying to access fertility treatments. These challenges include high costs, the need for specialized medical facilities, and cultural beliefs that may discourage seeking he... read more
The segmentation of the hepatic vasculature in surgical videos holds
substantial clinical significance in the context of hepatectomy procedures.
However, owing to the dearth of an appropriate dataset and the inherently
complex task characteristics,... read more
Accurate identification of late-life depression (LLD) using structural brain
MRI is essential for monitoring disease progression and facilitating timely
intervention. However, existing learning-based approaches for LLD detection are
often constrain... read more
Interactions of proteins with other molecules are often mediated by a set of critical binding motifs on their surfaces. Most traditional binder designs relied on motifs borrowed from known binder molecules, which highly restricted their applicability... read more
Detecting, analyzing, and predicting power outages is crucial for grid risk
assessment and disaster mitigation. Numerous outages occur each year,
exacerbated by extreme weather events such as hurricanes. Existing outage data
are typically reported ... read more
As deep neural networks (DNNs) see increased deployment on mobile and edge
devices, optimizing model efficiency has become crucial. Mixed-precision
quantization is widely favored, as it offers a superior balance between
efficiency and accuracy comp... read more
Recent developments in imitation learning have considerably advanced robotic
manipulation. However, current techniques in imitation learning can suffer from
poor generalization, limiting performance even under relatively minor domain
shifts. In thi... read more
Brain networks exhibit diverse topological structures to adapt and support brain functions. The changes in neuronal network architecture can lead to alterations in neuronal spiking activity, yet how individual neuronal behavior reflects network struc... read more
Bronchial foreign body aspiration is a life-threatening condition with a high incidence across diverse populations, requiring urgent diagnosis and treatment. However, the limited availability of skilled practitioners and advanced medical equipment in... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.