Artificial Intelligence Medical Compendium

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

Showing 26,761 to 26,770 of 218,283 articles

Useful nonrobust features are ubiquitous in biomedical images

arXiv Apr 24, 2026
We study whether deep networks for medical imaging learn useful nonrobust features - predictive input patterns that are not human interpretable and highly susceptible to small adversarial perturbations - and how these features impact test performance... read more 
Image and Video Processing cs.CV cs.LG

Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting

arXiv Apr 24, 2026
As the demand to integrate Artificial Intelligence into high-stakes environments continues to grow, explaining the reasoning behind neural-network predictions has shifted from a theoretical curiosity to a strict operational requirement. Our work is m... read more 
Machine Learning cs.LG

FlowAnchor: Stabilizing the Editing Signal for Inversion-Free Video Editing

arXiv Apr 24, 2026
We propose FlowAnchor, a training-free framework for stable and efficient inversion-free, flow-based video editing. Inversion-free editing methods have recently shown impressive efficiency and structure preservation in images by directly steering the... read more 
Computer Vision and Pattern Recognition

Beyond Patient Invariance: Learning Cardiac Dynamics via Action-Conditioned JEPAs

arXiv Apr 24, 2026
Self-supervised learning in healthcare has largely relied on invariance-based objectives, which maximize similarity between different views of the same patient. While effective for static anatomy, this paradigm is fundamentally misaligned with clinic... read more 
Machine Learning

Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction

arXiv Apr 24, 2026
Objective: Decoding visual information from electroencephalography (EEG) is an important problem in neuroscience and brain-computer interface (BCI) research. Existing methods are largely restricted to natural images and categorical representations, w... read more 
Neural and Evolutionary Computing cs.CV

PASR: Pose-Aware 3D Shape Retrieval from Occluded Single Views

arXiv Apr 24, 2026
Single-view 3D shape retrieval is a fundamental yet challenging task that is increasingly important with the growth of available 3D data. Existing approaches largely fall into two categories: those using contrastive learning to map point cloud featur... read more 
Computer Vision and Pattern Recognition

Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe

arXiv Apr 24, 2026
Graph neural networks achieve strong node-classification accuracy, but their learned message passing entangles ego attributes, neighborhood smoothing, high-pass graph differences, class geometry, and classifier boundaries in an opaque representation.... read more 
Machine Learning

Time-Localized Parametric Decomposition of Respiratory Airflow for Sub-Breath Analysis

arXiv Apr 24, 2026
Respiratory airflow signals provide critical insight into breathing mechanics, yet conventional analysis methods remain limited in their ability to characterize the internal structure of individual breaths. Traditional approaches treat airflow as a q... read more 
Signal Processing cs.LG

Generative Modeling of Neurodegenerative Brain Anatomy with 4D Longitudinal Diffusion Model

arXiv Apr 24, 2026
Understanding and predicting the progression of neurodegenerative diseases remains a major challenge in medical AI, with significant implications for early diagnosis, disease monitoring, and treatment planning. However, most available longitudinal ne... read more 
Computer Vision and Pattern Recognition

Long-tail Internet photo reconstruction

arXiv Apr 24, 2026
Internet photo collections exhibit an extremely long-tailed distribution: a few famous landmarks are densely photographed and easily reconstructed in 3D, while most real-world sites are represented with sparse, noisy, uneven imagery beyond the capabi... read more 
Computer Vision and Pattern Recognition
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