Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...

Background: Prior studies have shown that virtual reality (VR) is an efficacious treatment modality for opioid-sparing pain management. However, the majority of these studies were conducted among ...

The study introduces a valuable dataset for investigating the relationship between vision and language in the brain. The authors provide convincing evidence that decoders trained on brain responses to ...

We release MissRAG, a novel multimodal Retrieval-Augmented Generation (RAG) framework developed to address the missing modality problem in Multimodal Large Language Models (MLLMs). MissRAG is capable ...

Large multimodal models (LMMs) demonstrate impressive capabilities in understanding images, videos, and audio beyond text. However, efficiently serving LMMs in production environments poses ...

Objective: We aimed to 1) identify telehealth modality preferences (voice vs. video) among clinicians and the populations they serve and 2) explore barriers to telehealth use from clinician and public ...

Abstract: Deep learning based person re-identification (re-id) models have been widely employed in surveillance systems. Recent studies have demonstrated that black-box single-modality and ...

1 Huazhong University of Science & Technology, 2 Wuhan University. Image matching for both cross-view and cross-modality plays a critical role in multimodal perception. In practice, the modality gap ...