Pain Management

Cryptogenic stroke and migraine: using probabilistic independence and machine learning to uncover latent sources of disease from the electronic health record

Migraine is a common but complex neurological disorder that doubles the lifetime risk of cryptogen...

Adaptation Method for Misinformation Identification

Multimodal fake news detection plays a crucial role in combating online misinformation. Unfortunat...

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement

Accurate retinal vessel segmentation provides essential structural information for ophthalmic imag...

Dependency Structure Augmented Contextual Scoping Framework for Multimodal Aspect-Based Sentiment Analysis

Multimodal Aspect-Based Sentiment Analysis (MABSA) seeks to extract fine-grained information from ...

Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification

Background: Deep learning has significantly advanced medical image analysis, with Vision Transform...

Global and Local Mamba Network for Multi-Modality Medical Image Super-Resolution

Convolutional neural networks and Transformer have made significant progresses in multi-modality m...

DTFSal: Audio-Visual Dynamic Token Fusion for Video Saliency Prediction

Audio-visual saliency prediction aims to mimic human visual attention by identifying salient regio...

Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Long-context video understanding in multimodal large language models (MLLMs) faces a critical chal...

GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals

Frequent and long-term exposure to hyperglycemia (i.e., high blood glucose) increases the risk of ...

Slow Thinking for Sequential Recommendation

To develop effective sequential recommender systems, numerous methods have been proposed to model ...

Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit

Opioid use disorder (OUD) is a leading health problem that affects individual well-being as well a...

HGMamba: Enhancing 3D Human Pose Estimation with a HyperGCN-Mamba Network

3D human pose lifting is a promising research area that leverages estimated and ground-truth 2D hu...

Exposure to Content Written by Large Language Models Can Reduce Stigma Around Opioid Use Disorder in Online Communities

Widespread stigma, both in the offline and online spaces, acts as a barrier to harm reduction effo...

PainNet: Statistical Relation Network with Episode-Based Training for Pain Estimation

Despite the span in estimating pain from facial expressions, limited works have focused on estimat...

Resource-Efficient Beam Prediction in mmWave Communications with Multimodal Realistic Simulation Framework

Beamforming is a key technology in millimeter-wave (mmWave) communications that improves signal tr...

Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference

Complex systems with intricate causal dependencies challenge accurate prediction. Effective modeli...

RE: Exploring new educational approaches in neuropathic pain: assessing accuracy and consistency of AI responses from GPT-3.5 and GPT-4.

RE: Exploring new educational approaches in neuropathic pain: assessing accuracy and consistency of AI responses from GPT-3.5 and GPT-4.

Opioid Named Entity Recognition (ONER-2025) from Reddit

The opioid overdose epidemic remains a critical public health crisis, particularly in the United S...

Unicorn: Text-Only Data Synthesis for Vision Language Model Training

Training vision-language models (VLMs) typically requires large-scale, high-quality image-text pai...

M-DocSum: Do LVLMs Genuinely Comprehend Interleaved Image-Text in Document Summarization?

We investigate a critical yet under-explored question in Large Vision-Language Models (LVLMs): Do ...