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Showing 631-651 of 920 articles

Research at the Intersection of Traditional, Complementary, and Integrative Medicine and Artificial Intelligence: A Bibliometric Analysis

Traditional, complementary, and integrative medicine (TCIM) describes a broad collection of medical ...

Jan 2025 10.64898/2025.12.09.25341890

The Metabolic Treatabolome and Inborn Errors of Metabolism Knowledgebase therapy tool: Do not miss the opportunity to treat!

Inborn errors of metabolism (IEMs) are rare genetic conditions with significant morbidity and mortal...

Jan 2025 39777714

Biological Insights from Integrative Modeling of Intrinsically Disordered Protein Systems

Intrinsically disordered proteins and regions are increasingly appreciated for their abundance in ...

Dec 2024 http://arxiv.org/abs/2412.19875v1

MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation

Weakly Supervised Semantic Segmentation (WSSS) with image-level labels typically uses Class Activa...

Dec 2024 http://arxiv.org/abs/2412.11076v3

Dynamic Cross-Modal Alignment for Robust Semantic Location Prediction

Semantic location prediction from multimodal social media posts is a critical task with applicatio...

Dec 2024 http://arxiv.org/abs/2412.09870v1

FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection

Infrared-visible object detection (IVOD) seeks to harness the complementary information in infrare...

Dec 2024 http://arxiv.org/abs/2412.09258v1

Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages

Brain aging involves structural and functional changes and therefore serves as a key biomarker for...

Dec 2024 http://arxiv.org/abs/2412.05632v1

Unsupervised Hyperspectral and Multispectral Image Fusion via Self-Supervised Modality Decoupling

Hyperspectral and Multispectral Image Fusion (HMIF) aims to fuse low-resolution hyperspectral imag...

Dec 2024 http://arxiv.org/abs/2412.04802v3

Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection

RGB-Thermal Salient Object Detection aims to pinpoint prominent objects within aligned pairs of vi...

Dec 2024 http://arxiv.org/abs/2412.01556v1

Class Distance Weighted Cross Entropy Loss for Classification of Disease Severity

Assessing disease severity with ordinal classes, where each class reflects increasing severity lev...

Dec 2024 http://arxiv.org/abs/2412.01246v3

Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese Medicine

Traditional Chinese Medicine (TCM) involves complex compatibility mechanisms characterized by mult...

Nov 2024 http://arxiv.org/abs/2411.11474v2

Relation extraction using large language models: a case study on acupuncture point locations.

OBJECTIVE: In acupuncture therapy, the accurate location of acupoints is essential for its effective...

Nov 2024 39208311

Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis

Histopathological imaging is vital for cancer research and clinical practice, with multiplexed Imm...

Sep 2024 http://arxiv.org/abs/2410.00152v1

Understanding Clinical Decision-Making in Traditional East Asian Medicine through Dimensionality Reduction: An Empirical Investigation

This study examines the clinical decision-making processes in Traditional East Asian Medicine (TEA...

Sep 2024 http://arxiv.org/abs/2409.19531v1

Triangulating evidence in health sciences with Annotated Semantic Queries.

MOTIVATION: Integrating information from data sources representing different study designs has the p...

Sep 2024 39171832

Interpretable breast cancer classification using CNNs on mammographic images

Deep learning models have achieved promising results in breast cancer classification, yet their 'b...

Aug 2024 http://arxiv.org/abs/2408.13154v1

Automatic Feature Recognition and Dimensional Attributes Extraction From CAD Models for Hybrid Additive-Subtractive Manufacturing

The integration of Computer-Aided Design (CAD), Computer-Aided Process Planning (CAPP), and Comput...

Aug 2024 http://arxiv.org/abs/2408.06891v2

Primary Care

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Research at the Intersection of Traditional, Complementary, and Integrative Medicine and Artificial Intelligence: A Bibliometric Analysis

The Metabolic Treatabolome and Inborn Errors of Metabolism Knowledgebase therapy tool: Do not miss the opportunity to treat!

Biological Insights from Integrative Modeling of Intrinsically Disordered Protein Systems

MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation

Dynamic Cross-Modal Alignment for Robust Semantic Location Prediction

FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection

Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages

Unsupervised Hyperspectral and Multispectral Image Fusion via Self-Supervised Modality Decoupling

Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection

Class Distance Weighted Cross Entropy Loss for Classification of Disease Severity

Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese Medicine

Relation extraction using large language models: a case study on acupuncture point locations.

Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis

Understanding Clinical Decision-Making in Traditional East Asian Medicine through Dimensionality Reduction: An Empirical Investigation

Triangulating evidence in health sciences with Annotated Semantic Queries.

Interpretable breast cancer classification using CNNs on mammographic images

Automatic Feature Recognition and Dimensional Attributes Extraction From CAD Models for Hybrid Additive-Subtractive Manufacturing

NeuroBind: Towards Unified Multimodal Representations for Neural Signals

EMIF: Evidence-aware Multi-source Information Fusion Network for Explainable Fake News Detection

Explainable Multimodal Deep Learning for Heart Sounds and Electrocardiogram Classification.

Human-AI collectives produce the most accurate differential diagnoses

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