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Subcategories: Alzheimer's Disease Medicare

Showing 4243-4263 of 8,142 articles

Residual Learning and Filtering Networks for End-to-End Lossless Video Compression

Existing learning-based video compression methods still face challenges related to inaccurate moti...

Mar 2025 http://arxiv.org/abs/2503.08819v1

An Iterative, User-Centered Design of a Clinical Decision Support System for Critical Care Assessments: Co-Design Sessions with ICU Clinical Providers

This study reports the findings of qualitative interview sessions conducted with ICU clinicians fo...

Mar 2025 http://arxiv.org/abs/2503.08814v1

HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder

Although end-to-end autonomous driving (E2E-AD) technologies have made significant progress in rec...

Mar 2025 http://arxiv.org/abs/2503.08612v1

MsaMIL-Net: An End-to-End Multi-Scale Aware Multiple Instance Learning Network for Efficient Whole Slide Image Classification

Bag-based Multiple Instance Learning (MIL) approaches have emerged as the mainstream methodology f...

Mar 2025 http://arxiv.org/abs/2503.08581v2

CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving

In recent years, there has been increased interest in the design, training, and evaluation of end-...

Mar 2025 http://arxiv.org/abs/2503.07425v1

Diagnostic-free onboard battery health assessment

Diverse usage patterns induce complex and variable aging behaviors in lithium-ion batteries, compl...

Mar 2025 http://arxiv.org/abs/2503.07383v1

ALLVB: All-in-One Long Video Understanding Benchmark

From image to video understanding, the capabilities of Multi-modal LLMs (MLLMs) are increasingly p...

Mar 2025 http://arxiv.org/abs/2503.07298v2

Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers

Objective. Large vessel occlusion (LVO) stroke presents a major challenge in clinical practice due...

Mar 2025 http://arxiv.org/abs/2503.13486v1

TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos

Temporal localization in untrimmed videos, which aims to identify specific timestamps, is crucial ...

Mar 2025 http://arxiv.org/abs/2503.06526v1

End-to-End Action Segmentation Transformer

Existing approaches to action segmentation use pre-computed frame features extracted by methods wh...

Mar 2025 http://arxiv.org/abs/2503.06316v2

TransParking: A Dual-Decoder Transformer Framework with Soft Localization for End-to-End Automatic Parking

In recent years, fully differentiable end-to-end autonomous driving systems have become a research...

Mar 2025 http://arxiv.org/abs/2503.06071v1

MANDARIN: Mixture-of-Experts Framework for Dynamic Delirium and Coma Prediction in ICU Patients: Development and Validation of an Acute Brain Dysfunction Prediction Model

Acute brain dysfunction (ABD) is a common, severe ICU complication, presenting as delirium or coma...

Mar 2025 http://arxiv.org/abs/2503.06059v1

An End-to-End Learning-Based Multi-Sensor Fusion for Autonomous Vehicle Localization

Multi-sensor fusion is essential for autonomous vehicle localization, as it is capable of integrat...

Mar 2025 http://arxiv.org/abs/2503.05088v1

Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes

Alzheimer's disease (AD) is a major neurodegenerative condition that affects millions around the w...

Mar 2025 http://arxiv.org/abs/2503.05031v1

Browse Categories

Residual Learning and Filtering Networks for End-to-End Lossless Video Compression

An Iterative, User-Centered Design of a Clinical Decision Support System for Critical Care Assessments: Co-Design Sessions with ICU Clinical Providers

HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder

MsaMIL-Net: An End-to-End Multi-Scale Aware Multiple Instance Learning Network for Efficient Whole Slide Image Classification

CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving

Diagnostic-free onboard battery health assessment

ALLVB: All-in-One Long Video Understanding Benchmark

Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers

TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos

End-to-End Action Segmentation Transformer

TransParking: A Dual-Decoder Transformer Framework with Soft Localization for End-to-End Automatic Parking

MANDARIN: Mixture-of-Experts Framework for Dynamic Delirium and Coma Prediction in ICU Patients: Development and Validation of an Acute Brain Dysfunction Prediction Model

An End-to-End Learning-Based Multi-Sensor Fusion for Autonomous Vehicle Localization

Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes

BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification

CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance

DDCSR: A Novel End-to-End Deep Learning Framework for Cortical Surface Reconstruction from Diffusion MRI

Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion

Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification

Multimodal AI predicts clinical outcomes of drug combinations from preclinical data

MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments

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