Pain Management

Latest AI and machine learning research in pain management for healthcare professionals.

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Hardware-Software Co-Design for Accelerating Transformer Inference Leveraging Compute-in-Memory

Transformers have become the backbone of neural network architecture for most machine learning app...

Language Complexity Measurement as a Noisy Zero-Shot Proxy for Evaluating LLM Performance

Large Language Models (LLMs) have made significant strides in natural language generation but ofte...

Multi-scale Masked Autoencoder for Electrocardiogram Anomaly Detection

Electrocardiogram (ECG) analysis is a fundamental tool for diagnosing cardiovascular conditions, y...

L2GNet: Optimal Local-to-Global Representation of Anatomical Structures for Generalized Medical Image Segmentation

Continuous Latent Space (CLS) and Discrete Latent Space (DLS) models, like AttnUNet and VQUNet, ha...

TFBS-Finder: Deep Learning-based Model with DNABERT and Convolutional Networks to Predict Transcription Factor Binding Sites

Transcription factors are proteins that regulate the expression of genes by binding to specific ge...

Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation

Feature selection is an important but challenging task in causal inference for obtaining unbiased ...

A machine learning approach to automate microinfarct and microhemorrhage screening in hematoxylin and eosin-stained human brain tissues.

Microinfarcts and microhemorrhages are characteristic lesions of cerebrovascular disease. Although m...

Feb 2025 39724914
ContextFormer: Redefining Efficiency in Semantic Segmentation

Semantic segmentation assigns labels to pixels in images, a critical yet challenging task in compu...

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

We introduce BCAT, a PDE foundation model designed for autoregressive prediction of solutions to t...

CAAT-EHR: Cross-Attentional Autoregressive Transformer for Multimodal Electronic Health Record Embeddings

Electronic health records (EHRs) provide a comprehensive source of longitudinal patient data, enco...

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning

Gliomas are the most common primary tumors of the central nervous system. Multimodal MRI is widely...

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Image restoration aims to recover details and enhance contrast in degraded images. With the growin...

Classification of Mild Cognitive Impairment Based on Dynamic Functional Connectivity Using Spatio-Temporal Transformer

Dynamic functional connectivity (dFC) using resting-state functional magnetic resonance imaging (r...

Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI

Alzheimer's disease (AD) is a neurodegenerative disorder affecting millions worldwide, necessitati...

Cross-modal Context Fusion and Adaptive Graph Convolutional Network for Multimodal Conversational Emotion Recognition

Emotion recognition has a wide range of applications in human-computer interaction, marketing, hea...

Avoiding Overfitting in Variable-Order Markov Models: a Cross-Validation Approach

Higher$\text{-}$order Markov chain models are widely used to represent agent transitions in dynami...

DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention

While tobacco advertising innovates at unprecedented speed, traditional surveillance methods remai...

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction

Longitudinal MRI analysis is crucial for predicting disease outcomes, particularly in chronic cond...

Precision Adaptive Imputation Network : An Unified Technique for Mixed Datasets

The challenge of missing data remains a significant obstacle across various scientific domains, ne...

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