Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 39,511 to 39,520 of 223,737 articles

SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation

arXiv Mar 23, 2026
Unsupervised Domain Adaptation (UDA) is essential for deploying medical segmentation models across diverse clinical environments. Existing methods are fundamentally limited, suffering from semantically unaware feature alignment that results in poor d... read more 
Computer Vision and Pattern Recognition cs.AI

A Latent Representation Learning Framework for Hyperspectral Image Emulation in Remote Sensing

arXiv Mar 23, 2026
Synthetic hyperspectral image (HSI) generation is essential for large-scale simulation, algorithm development, and mission design, yet traditional radiative transfer models remain computationally expensive and often limited to spectrum-level outputs.... read more 
Computer Vision and Pattern Recognition cs.LG eess.IV

Camera-Agnostic Pruning of 3D Gaussian Splats via Descriptor-Based Beta Evidence

arXiv Mar 23, 2026
The pruning of 3D Gaussian splats is essential for reducing their complexity to enable efficient storage, transmission, and downstream processing. However, most of the existing pruning strategies depend on camera parameters, rendered images, or view-... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Chronological Contrastive Learning: Few-Shot Progression Assessment in Irreversible Diseases

arXiv Mar 23, 2026
Quantitative disease severity scoring in medical imaging is costly, time-consuming, and subject to inter-reader variability. At the same time, clinical archives contain far more longitudinal imaging data than expert-annotated severity scores. Existin... read more 
Computer Vision and Pattern Recognition cs.AI

MultiBind: A Benchmark for Attribute Misbinding in Multi-Subject Generation

arXiv Mar 23, 2026
Subject-driven image generation is increasingly expected to support fine-grained control over multiple entities within a single image. In multi-reference workflows, users may provide several subject images, a background reference, and long, entity-in... read more 
Computer Vision and Pattern Recognition

FeatDistill: A Feature Distillation Enhanced Multi-Expert Ensemble Framework for Robust AI-generated Image Detection

arXiv Mar 23, 2026
The rapid iteration and widespread dissemination of deepfake technology have posed severe challenges to information security, making robust and generalizable detection of AI-generated forged images increasingly important. In this paper, we propose Fe... read more 
Computer Vision and Pattern Recognition cs.MM

Unraveling the stability of fish collagen: A review of assembly mechanisms, decisive factors, and regulatory strategies from natural tissues to in vitro gels.

Food research international (Ottawa, Ont.) Mar 23, 2026
Fish collagen, mainly derived from by-products of fish processing, such as skin, bones, and swim bladders, possesses significant economic value. However, its poor gel stability severely restricts its applications in the food industry. This review sum... read more 

A field boundary dataset for the canadian prairies derived from sentinel-2 imagery using the segment anything model.

Data in brief Mar 23, 2026
This article presents a Prairie-wide spatial vector dataset of agricultural field boundaries across Alberta, Saskatchewan, and Manitoba, Canada. The dataset was generated from Sentinel-2 Level-2A surface reflectance imagery (10 m spatial resolution) ... read more 

Microneedle-based theranostics for melanoma: Advances and outlook.

Materials today. Bio Mar 23, 2026
Melanoma represents a highly aggressive malignancy that poses persistent challenges for clinical diagnosis and treatment. Although surgical intervention remains the primary therapeutic approach, the potential risk of postoperative recurrence and surg... read more 

Dual contrastive learning with graph masking: A self-supervised framework for multi-view clustering.

Neural networks : the official journal of the International Neural Network Society Mar 23, 2026
Graph-based deep multi-view clustering has recently emerged as a prominent research paradigm, driven by its efficacy in modeling nonlinear feature relationships. However, two critical limitations persist in existing approaches: (1) They exhibit high ... read more 
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