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Subcategories: Alzheimer's Disease Medicare

Showing 4180-4200 of 8,142 articles

xML-workFlow: an end-to-end explainable scikit-learn workflow for rapid biomedical experimentation

Motivation: Building and iterating machine learning models is often a resource-intensive process. ...

Apr 2025 http://arxiv.org/abs/2504.01356v1

Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification

Alzheimer's Disease is a progressive neurological disorder that is one of the most common forms of...

Apr 2025 http://arxiv.org/abs/2504.01329v1

Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation

The causal relationships between biomarkers are essential for disease diagnosis and medical treatm...

Apr 2025 http://arxiv.org/abs/2504.08768v1

GKAN: Explainable Diagnosis of Alzheimer's Disease Using Graph Neural Network with Kolmogorov-Arnold Networks

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that poses significant diagno...

Apr 2025 http://arxiv.org/abs/2504.00946v1

Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents

Computer use agents automate digital tasks by directly interacting with graphical user interfaces ...

Apr 2025 http://arxiv.org/abs/2504.00906v1

Evaluating Traditional, Deep Learning and Subfield Methods for Automatically Segmenting the Hippocampus From MRI.

Given the relationship between hippocampal atrophy and cognitive impairment in various pathological ...

Apr 2025 40143669

NAD_MCNN: Combining Protein Language Models and Multiwindow Convolutional Neural Networks for Deacetylase NAD+ Binding Site Prediction.

Sirtuins, a class of NAD+ -dependent deacetylases, play a key role in aging, metabolism, and longevi...

Apr 2025 40183480

Dynamic and Static Structure-Function Coupling With Machine Learning for the Early Detection of Alzheimer's Disease.

The progression of Alzheimer's disease (AD) involves complex changes in brain structure and function...

Apr 2025 40193134

Artificial intelligence in colorectal surgery multidisciplinary team approach-From innovation to application.

Artificial intelligence (AI) has played a novel role in aiding healthcare system functions and enhan...

Apr 2025 40285450

Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networks

In the Edge Inference (EI) paradigm, where a Deep Neural Network (DNN) is split across the transce...

Mar 2025 http://arxiv.org/abs/2504.00233v1

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy

Reasoning before action and imagining potential outcomes (i.e., world models) are essential for em...

Mar 2025 http://arxiv.org/abs/2503.24388v1

AI2Agent: An End-to-End Framework for Deploying AI Projects as Autonomous Agents

As AI technology advances, it is driving innovation across industries, increasing the demand for s...

Mar 2025 http://arxiv.org/abs/2503.23948v1

An End-to-End Comprehensive Gear Fault Diagnosis Method Based on Multi-Scale Feature-Level Fusion Strategy

To satisfy the requirements of the end-to-end fault diagnosis of gears, an integrated intelligent ...

Mar 2025 http://arxiv.org/abs/2503.23887v1

Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric Applications

Understanding how the brain's complex nonlinear dynamics give rise to adaptive cognition and behav...

Mar 2025 http://arxiv.org/abs/2503.23394v1

The Mind in the Machine: A Survey of Incorporating Psychological Theories in LLMs

Psychological insights have long shaped pivotal NLP breakthroughs, including the cognitive underpi...

Mar 2025 http://arxiv.org/abs/2505.00003v1

MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation

Curating large-scale fully annotated datasets is expensive, laborious, and cumbersome, especially ...

Mar 2025 http://arxiv.org/abs/2503.22890v1

DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation

Learning from longitudinal electronic health records is limited if it does not capture the tempora...

Mar 2025 http://arxiv.org/abs/2503.22257v1

Enhance Generation Quality of Flow Matching V2A Model via Multi-Step CoT-Like Guidance and Combined Preference Optimization

Creating high-quality sound effects from videos and text prompts requires precise alignment betwee...

Mar 2025 http://arxiv.org/abs/2503.22200v1

Browse Categories

xML-workFlow: an end-to-end explainable scikit-learn workflow for rapid biomedical experimentation

Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification

Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation

GKAN: Explainable Diagnosis of Alzheimer's Disease Using Graph Neural Network with Kolmogorov-Arnold Networks

Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents

Evaluating Traditional, Deep Learning and Subfield Methods for Automatically Segmenting the Hippocampus From MRI.

NAD_MCNN: Combining Protein Language Models and Multiwindow Convolutional Neural Networks for Deacetylase NAD+ Binding Site Prediction.

Dynamic and Static Structure-Function Coupling With Machine Learning for the Early Detection of Alzheimer's Disease.

Artificial intelligence in colorectal surgery multidisciplinary team approach-From innovation to application.

Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networks

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy

AI2Agent: An End-to-End Framework for Deploying AI Projects as Autonomous Agents

An End-to-End Comprehensive Gear Fault Diagnosis Method Based on Multi-Scale Feature-Level Fusion Strategy

Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric Applications

The Mind in the Machine: A Survey of Incorporating Psychological Theories in LLMs

MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation

DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation

Enhance Generation Quality of Flow Matching V2A Model via Multi-Step CoT-Like Guidance and Combined Preference Optimization

A Multi-Site Study on AI-Driven Pathology Detection and Osteoarthritis Grading from Knee X-Ray

Personal Data Protection in Smart Home Activity Monitoring for Digital Health: A Case Study

Ocularone-Bench: Benchmarking DNN Models on GPUs to Assist the Visually Impaired

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