Artificial Intelligence Medical Compendium

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

Showing 1,811 to 1,820 of 213,633 articles

QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration

arXiv Jul 16, 2026
All-in-one image restoration aims to recover clean images degraded by multiple corruption types using a single unified model. Existing methods typically rely on image-level prompts or shared guidance to handle diverse degradations. However, such a pa... read more 
Computer Vision and Pattern Recognition

DAPGNet: Dynamic Adaptive Physics-Guided Graph Diffusion Network for Hyperspectral Image Classification

arXiv Jul 16, 2026
Hyperspectral image (HSI) classification requires reliable pixel-relation modeling under spectral variability, mixed pixels, and heterogeneous boundaries. Existing graph-based HSI classifiers usually construct graph topology from spatial proximity, s... read more 
Computer Vision and Pattern Recognition

Ray-based phase error correction for miniaturized DOE projector-based FPP under single-directional hyperbolic projection

arXiv Jul 16, 2026
Fringe Projection Profilometry (FPP) systems using miniaturized DOE pro-jectors often suffer from severe phase artifacts due to nonlinear projection characteristics and limited pattern controllability. We propose a ray-based phase error correction fr... read more 
Computer Vision and Pattern Recognition

Symbal: Detecting Systematic Misalignments in Model-Generated Captions

arXiv Jul 16, 2026
Multimodal large language models (MLLMs) often introduce errors when generating image captions, resulting in misaligned image-text pairs. Our work focuses on a class of captioning errors that we refer to as systematic misalignments, where a recurring... read more 
Computer Vision and Pattern Recognition cs.AI

NeuronSoup: Evolving Asynchronous, Shared-Neuron Temporal Graphs without Backpropagation

arXiv Jul 16, 2026
We present NeuronSoup, a neural computation architecture that replaces synchronous layer-by-layer processing with asynchronous, delay-mediated signal propagation through a pool of shared neurons. Each path in the network routes a continuous-valued si... read more 
Neural and Evolutionary Computing cs.LG

CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift

arXiv Jul 16, 2026
Distribution shift in medical imaging remains a central bottleneck for the clinical translation of medical AI. Failure to address it can lead to severe performance degradation in unseen environments and exacerbate health inequities. Existing methods ... read more 
Computer Vision and Pattern Recognition

Beyond the Leaderboard: Design Lessons for Trustworthy Multimodal VQA

arXiv Jul 16, 2026
Healthcare multimodal AI must combine visual and textual evidence while remaining reliable and interpretable. Using MediaEval Medico 2025 as a retrospective GI endoscopy case study, we analyze design choices across nine documented systems for questio... read more 
Computation and Language cs.CV

ARMOR++: Agentic Orchestration of a Multi-Domain Primitive Set for Transferable Attacks on Deepfake Detectors

arXiv Jul 16, 2026
The reliability of deepfake detectors frequently degrades under black-box adversarial transfer, as these models often rely on fragile, architecture-dependent forensic cues. Existing transfer attacks often lack semantic awareness and struggle to maint... read more 
Computer Vision and Pattern Recognition

HoloGeo: Mitigating Landmark Bias in Geo-localization via Evidence-Driven Reasoning

arXiv Jul 16, 2026
Recent advances in Vision-Language Models (VLMs) have significantly improved image geo-localization, yet existing models remain susceptible to landmark bias, causing them to overlook geographical cues or form spurious correlations, ultimately resulti... read more 
Computer Vision and Pattern Recognition

MeanFlowNFT: Bringing Forward-Process RL to Average-Velocity Generators

arXiv Jul 16, 2026
MeanFlow generators achieve fast few-step sampling by predicting average velocities over time intervals, making them attractive for efficient generation. Reinforcement learning (RL) has become a powerful way to align diffusion and flow models with hu... read more 
Computer Vision and Pattern Recognition cs.LG
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