Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
The accurate assessment of the brain's functional network is seen as crucial for the understanding o...
Neural Radiance Fields (NeRF) have been gaining attention as a significant form of 3D content repr...
Recent studies have shown that Large Vision-Language Models (VLMs) tend to neglect image content a...
Medical image segmentation plays a crucial role in various clinical applications. A major challeng...
When an individual reports a negative interaction with some system, how can their personal experie...
It is well known that query-based attacks tend to have relatively higher success rates in adversar...
White blood cells (WBC) are important parts of our immune system, and they protect our body agains...
Map construction task plays a vital role in providing precise and comprehensive static environment...
Attention-based arbitrary style transfer methods have gained significant attention recently due to...
Deep Learning approaches in dermatological image classification have shown promising results, yet ...
Spatial transformations that capture population-level morphological statistics are critical for me...
Few-shot learning (FSL) has recently been extensively utilized to overcome the scarcity of trainin...
OBJECTIVES: To evaluate the interobserver agreement and diagnostic accuracy of ovarian-adnexal repor...
Recent advancements in Vision-Language-Action (VLA) models have leveraged pre-trained Vision-Langu...
Bluetooth Low Energy (BLE) location trackers, or "tags", are popular consumer devices for monitori...
Integrated sensing and communication (ISAC) boosts network efficiency by using existing resources ...
Automated segmentation plays a pivotal role in medical image analysis and computer-assisted interv...
Artificial intelligence (AI) systems in healthcare have demonstrated remarkable potential to impro...
In this study, we reveal that the interaction between haze degradation and JPEG compression introd...
Given multi-type point maps from different place-types (e.g., tumor regions), our objective is to ...
Pretrained visual-language models have made significant advancements in multimodal tasks, includin...