Artificial Intelligence Medical Compendium

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

Showing 24,181 to 24,190 of 217,425 articles

Remote SAMsing: From Segment Anything to Segment Everything

arXiv Apr 30, 2026
SAM2 produces high-quality zero-shot segmentation on natural images, but applying it to large remote sensing scenes exposes two problems: (1) its mask generator faces an inherent quality-coverage trade-off: strict thresholds yield precise masks but l... read more 
Computer Vision and Pattern Recognition cs.AI

Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning

arXiv Apr 30, 2026
Real-world knowledge is often organized as hierarchies such as product taxonomies, medical ontologies, and label trees, yet learning hierarchical representations is challenging due to asymmetric structure and noisy semantics. We introduce Polaris, a ... read more 
Machine Learning

REALM: An RGB and Event Aligned Latent Manifold for Cross-Modal Perception

arXiv Apr 30, 2026
Event cameras provide several unique advantages over standard frame-based sensors, including high temporal resolution, low latency, and robustness to extreme lighting. However, existing learning-based approaches for event processing are typically con... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO

When Do Diffusion Models learn to Generate Multiple Objects?

arXiv Apr 30, 2026
Text-to-image diffusion models achieve impressive visual fidelity, yet they remain unreliable in multi-object generation. Despite extensive empirical evidence of these failures, the underlying causes remain unclear. We begin by asking how much of thi... read more 
Computer Vision and Pattern Recognition cs.AI

BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning

arXiv Apr 30, 2026
Brain MRI underpins a wide range of neuroscientific and clinical applications, yet most learning-based methods remain task-specific and require substantial labeled data. Here we show that a single self-supervised representation can generalize across ... read more 
Machine Learning cs.AI cs.CV

Predicting Upcoming Stuttering Events from Three-Second Audio: Stratified Evaluation Reveals Severity-Selective Precursors, and the Model Deploys Fully On-Device

arXiv Apr 30, 2026
Audio-based stuttering systems to date have been trained for detection -- what disfluency is present now -- leaving prediction, the capability needed for closed-loop intervention, unstudied at deployable scale. We train a 616K-parameter CNN on SEP-28... read more 
Sound cs.LG eess.AS

Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification

arXiv Apr 30, 2026
Hyperspectral image (HSI) and SAR/LiDAR data offer complementary spectral and structural information for land-cover classification. However, their effective fusion remains challenging due to two major limitations: The spectral redundancy in high-dime... read more 
Image and Video Processing cs.CV

Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution

arXiv Apr 30, 2026
Hyperspectral image super-resolution is essential for enhancing the spatial fidelity of HSI data, yet existing deep learning methods often struggle with substantial spectral redundancy and the limited non-linear modeling capacity of standard feed-for... read more 
Image and Video Processing cs.CV

JI-ADF: Joint-Individual Learning with Adaptive Decision Fusion for Multimodal Skin Lesion Classification

arXiv Apr 30, 2026
Skin lesion classification is essential for early dermatological diagnosis, yet many existing computer-aided systems rely primarily on dermoscopic images and underutilize the multimodal evidence routinely available in clinical practice. To address th... read more 
Computer Vision and Pattern Recognition

AG-TAL: Anatomically-Guided Topology-Aware Loss for Multiclass Segmentation of the Circle of Willis Using Large-Scale Multi-Center Datasets

arXiv Apr 30, 2026
Accurate multiclass segmentation of the Circle of Willis (CoW) is essential for neurovascular disease management but remains challenging due to complex vascular topology and variable morphology. Existing deep learning methods often suffer from vascul... read more 
Machine Learning cs.CV
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