Artificial Intelligence Medical Compendium

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

Showing 57,821 to 57,830 of 227,388 articles

DSVM-UNet : Enhancing VM-UNet with Dual Self-distillation for Medical Image Segmentation

arXiv Jan 27, 2026
Vision Mamba models have been extensively researched in various fields, which address the limitations of previous models by effectively managing long-range dependencies with a linear-time overhead. Several prospective studies have further designed Vi... read more 
Computer Vision and Pattern Recognition

Rethinking Divisive Hierarchical Clustering from a Distributional Perspective

arXiv Jan 27, 2026
We uncover that current objective-based Divisive Hierarchical Clustering (DHC) methods produce a dendrogram that does not have three desired properties i.e., no unwarranted splitting, group similar clusters into a same subset, ground-truth correspond... read more 
Machine Learning

Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification

arXiv Jan 27, 2026
Echocardiography is a cornerstone for managing heart failure (HF), with Left Ventricular Ejection Fraction (LVEF) being a critical metric for guiding therapy. However, manual LVEF assessment suffers from high inter-observer variability, while existin... read more 
Image and Video Processing cs.CV cs.LG

GraphDLG: Exploring Deep Leakage from Gradients in Federated Graph Learning

arXiv Jan 27, 2026
Federated graph learning (FGL) has recently emerged as a promising privacy-preserving paradigm that enables distributed graph learning across multiple data owners. A critical privacy concern in federated learning is whether an adversary can recover r... read more 
Machine Learning

Benchmarking Multimodal Large Language Models for Missing Modality Completion in Product Catalogues

arXiv Jan 27, 2026
Missing-modality information on e-commerce platforms, such as absent product images or textual descriptions, often arises from annotation errors or incomplete metadata, impairing both product presentation and downstream applications such as recommend... read more 
Multimedia cs.CV cs.IR

WaterClear-GS: Optical-Aware Gaussian Splatting for Underwater Reconstruction and Restoration

arXiv Jan 27, 2026
Underwater 3D reconstruction and appearance restoration are hindered by the complex optical properties of water, such as wavelength-dependent attenuation and scattering. Existing Neural Radiance Fields (NeRF)-based methods struggle with slow renderin... read more 
Computer Vision and Pattern Recognition

PaW-ViT: A Patch-based Warping Vision Transformer for Robust Ear Verification

arXiv Jan 27, 2026
The rectangular tokens common to vision transformer methods for visual recognition can strongly affect performance of these methods due to incorporation of information outside the objects to be recognized. This paper introduces PaW-ViT, Patch-based W... read more 
Computer Vision and Pattern Recognition

GeoDiff3D: Self-Supervised 3D Scene Generation with Geometry-Constrained 2D Diffusion Guidance

arXiv Jan 27, 2026
3D scene generation is a core technology for gaming, film/VFX, and VR/AR. Growing demand for rapid iteration, high-fidelity detail, and accessible content creation has further increased interest in this area. Existing methods broadly follow two parad... read more 
Computer Vision and Pattern Recognition

Diffusion for De-Occlusion: Accessory-Aware Diffusion Inpainting for Robust Ear Biometric Recognition

arXiv Jan 27, 2026
Ear occlusions (arising from the presence of ear accessories such as earrings and earphones) can negatively impact performance in ear-based biometric recognition systems, especially in unconstrained imaging circumstances. In this study, we assess the... read more 
Computer Vision and Pattern Recognition

Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts

arXiv Jan 27, 2026
Processing high-volume, streaming data is increasingly common in modern statistics and machine learning, where batch-mode algorithms are often impractical because they require repeated passes over the full dataset. This has motivated incremental stoc... read more 
Machine Learning cs.AI cs.LG math.ST stat.ME
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