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Subcategories: Back Pain Migraines Pain Management

Showing 2017-2037 of 7,800 articles

ComicsPAP: understanding comic strips by picking the correct panel

Large multimodal models (LMMs) have made impressive strides in image captioning, VQA, and video co...

Mar 2025 http://arxiv.org/abs/2503.08561v2

EnergyFormer: Energy Attention with Fourier Embedding for Hyperspectral Image Classification

Hyperspectral imaging (HSI) provides rich spectral-spatial information across hundreds of contiguo...

Mar 2025 http://arxiv.org/abs/2503.08239v1

MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification

Multivariate Time Series Classification (MTSC) is crucial in extensive practical applications, suc...

Mar 2025 http://arxiv.org/abs/2503.05582v1

Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition

Previous work on clinical relation extraction from free-text sentences leveraged information about...

Mar 2025 http://arxiv.org/abs/2503.05373v1

New multimodal similarity measure for image registration via modeling local functional dependence with linear combination of learned basis functions

The deformable registration of images of different modalities, essential in many medical imaging a...

Mar 2025 http://arxiv.org/abs/2503.05335v1

Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome.

BACKGROUND AND AIMS: The importance of risk stratification in patients with chest pain extends beyon...

Mar 2025 39804231

CoServe: Efficient Collaboration-of-Experts (CoE) Model Inference with Limited Memory

Large language models like GPT-4 are resource-intensive, but recent advancements suggest that smal...

Mar 2025 http://arxiv.org/abs/2503.02354v2

COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation

Accurate segmentation of 3D vascular structures is essential for various medical imaging applicati...

Mar 2025 http://arxiv.org/abs/2503.02332v2

SSNet: Saliency Prior and State Space Model-based Network for Salient Object Detection in RGB-D Images

Salient object detection (SOD) in RGB-D images is an essential task in computer vision, enabling a...

Mar 2025 http://arxiv.org/abs/2503.02270v1

Bomfather: An eBPF-based Kernel-level Monitoring Framework for Accurate Identification of Unknown, Unused, and Dynamically Loaded Dependencies in Modern Software Supply Chains

Inaccuracies in conventional dependency-tracking methods frequently undermine the security and int...

Mar 2025 http://arxiv.org/abs/2503.02097v1

Browse Categories

ComicsPAP: understanding comic strips by picking the correct panel

EnergyFormer: Energy Attention with Fourier Embedding for Hyperspectral Image Classification

MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification

Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition

New multimodal similarity measure for image registration via modeling local functional dependence with linear combination of learned basis functions

Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome.

CoServe: Efficient Collaboration-of-Experts (CoE) Model Inference with Limited Memory

COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation

SSNet: Saliency Prior and State Space Model-based Network for Salient Object Detection in RGB-D Images

Bomfather: An eBPF-based Kernel-level Monitoring Framework for Accurate Identification of Unknown, Unused, and Dynamically Loaded Dependencies in Modern Software Supply Chains

ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization

LightEndoStereo: A Real-time Lightweight Stereo Matching Method for Endoscopy Images

Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices

A Multidimensional Regression Model for Predicting Recurrence in Chronic Low Back Pain.

Developing and validating a prediction tool for cerebral amyloid angiopathy neuropathological severity.

Towards artificial intelligence application in pain medicine.

Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

GONet: A Generalizable Deep Learning Model for Glaucoma Detection

ImageChain: Advancing Sequential Image-to-Text Reasoning in Multimodal Large Language Models

Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data

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