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Subcategories: Alzheimer's Disease Medicare

Showing 4327-4347 of 8,142 articles

Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation

Medical image segmentation remains a formidable challenge due to the label scarcity. Pre-training ...

Feb 2025 http://arxiv.org/abs/2502.08347v1

Normative Cerebral Perfusion Across the Lifespan

Cerebral perfusion plays a crucial role in maintaining brain function and is tightly coupled with ...

Feb 2025 http://arxiv.org/abs/2502.08070v1

Towards More Accurate Full-Atom Antibody Co-Design

Antibody co-design represents a critical frontier in drug development, where accurate prediction o...

Feb 2025 http://arxiv.org/abs/2502.19391v1

Greed is Good: A Unifying Perspective on Guided Generation

Training-free guided generation is a widely used and powerful technique that allows the end user t...

Feb 2025 http://arxiv.org/abs/2502.08006v2

Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature?

Medical research faces well-documented challenges in translating novel treatments into clinical pr...

Feb 2025 http://arxiv.org/abs/2502.07963v3

SketchFlex: Facilitating Spatial-Semantic Coherence in Text-to-Image Generation with Region-Based Sketches

Text-to-image models can generate visually appealing images from text descriptions. Efforts have b...

Feb 2025 http://arxiv.org/abs/2502.07556v1

From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production

Humans effortlessly communicate their thoughts through intricate sequences of motor actions. Yet, ...

Feb 2025 http://arxiv.org/abs/2502.07429v2

Robust Indoor Localization in Dynamic Environments: A Multi-source Unsupervised Domain Adaptation Framework

Fingerprint localization has gained significant attention due to its cost-effective deployment, lo...

Feb 2025 http://arxiv.org/abs/2502.07246v1

Dense Object Detection Based on De-homogenized Queries

Dense object detection is widely used in automatic driving, video surveillance, and other fields. ...

Feb 2025 http://arxiv.org/abs/2502.07194v1

Boosting of Classification Models with Human-in-the-Loop Computational Visual Knowledge Discovery

High-risk artificial intelligence and machine learning classification tasks, such as healthcare di...

Feb 2025 http://arxiv.org/abs/2502.07039v1

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium

The fourth Machine Learning for Health (ML4H) symposium was held in person on December 15th and 16...

Feb 2025 http://arxiv.org/abs/2502.06693v1

CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis

Neural networks (NNs), with their powerful nonlinear mapping and end-to-end capabilities, are wide...

Feb 2025 http://arxiv.org/abs/2502.06424v1

Image-Based Alzheimer's Disease Detection Using Pretrained Convolutional Neural Network Models

Alzheimer's disease is an untreatable, progressive brain disorder that slowly robs people of their...

Feb 2025 http://arxiv.org/abs/2502.05815v1

Zero-Shot End-to-End Relation Extraction in Chinese: A Comparative Study of Gemini, LLaMA and ChatGPT

This study investigates the performance of various large language models (LLMs) on zero-shot end-t...

Feb 2025 http://arxiv.org/abs/2502.05694v1

Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy

We introduce Long-VITA, a simple yet effective large multi-modal model for long-context visual-lan...

Feb 2025 http://arxiv.org/abs/2502.05177v2

Explainable and externally validated machine learning for neuropsychiatric diagnosis via electrocardiograms

Electrocardiogram (ECG) analysis has emerged as a promising tool for identifying physiological cha...

Feb 2025 http://arxiv.org/abs/2502.04918v1

SelaFD:Seamless Adaptation of Vision Transformer Fine-tuning for Radar-based Human Activity Recognition

Human Activity Recognition (HAR) such as fall detection has become increasingly critical due to th...

Feb 2025 http://arxiv.org/abs/2502.04740v2

Integrating Generative Artificial Intelligence in ADRD: A Framework for Streamlining Diagnosis and Care in Neurodegenerative Diseases

Healthcare systems are struggling to meet the growing demand for neurological care, with challenge...

Feb 2025 http://arxiv.org/abs/2502.06842v1

DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer's Disease

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease affecting 50 million people ...

Feb 2025 http://arxiv.org/abs/2502.04394v1

Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework

Alzheimer's Disease (AD) early detection is critical for enabling timely intervention and improvin...

Feb 2025 http://arxiv.org/abs/2502.04288v1

Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach

Alzheimer's Disease (AD) affects over 55 million people globally, yet the key genetic contributors...

Feb 2025 http://arxiv.org/abs/2502.03938v1