Artificial Intelligence Medical Compendium

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

Showing 19,561 to 19,570 of 215,899 articles

InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation

arXiv May 14, 2026
Text and faces are among the most perceptually salient and practically important patterns in visual generation, yet they remain challenging for autoregressive generators built on discrete tokenization. A central bottleneck is the tokenizer: aggressiv... read more 
Computer Vision and Pattern Recognition

IG-Diff: Complex Night Scene Restoration with Illumination-Guided Diffusion Model

arXiv May 14, 2026
In nighttime circumstances, it is challenging for individuals and machines to perceive their surroundings. While prevailing image restoration methods adeptly handle singular forms of degradation, they falter when confronted with intricate nocturnal s... read more 
Computer Vision and Pattern Recognition

AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors

arXiv May 14, 2026
Existing diffusion models have made significant progress in generating realistic images. However, their direct adaptation to remote sensing imagery often disregards intrinsic physical laws. This oversight frequently leads to spectral distortion and r... read more 
Computer Vision and Pattern Recognition

Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel

arXiv May 14, 2026
Full-waveform inversion (FWI) estimates unknown parameters in the wave equation from limited boundary measurements. Recent advances in neural reparameterized FWI (NeurFWI) demonstrate that representing the parameters using a neural network can reduce... read more 
Geophysics cs.AI physics.comp-ph

Optimal Pattern Detection Tree for Symbolic Rule-Based Classification

arXiv May 14, 2026
Pattern discovery in data plays a crucial role across diverse domains, including healthcare, risk assessment, and machinery maintenance. In contrast to black-box deep learning models, symbolic rule discovery emerges as a key data mining task, generat... read more 
Machine Learning cs.AI math.OC

Dual-Latent Collaborative Decoding for Fidelity-Perception Balanced Image Compression

arXiv May 14, 2026
Learned image compression (LIC) increasingly requires reconstructions that balance distortion fidelity and perceptual realism across a wide range of bitrates. However, most existing methods still rely on a single compressed latent representation to s... read more 
Computer Vision and Pattern Recognition

SceneForge: Structured World Supervision from 3D Interventions

arXiv May 14, 2026
Many multimodal learning tasks require supervision that remains consistent across edits, viewpoints, and scene-level interventions. However, such supervision is difficult to obtain from observation-level datasets, which do not expose the underlying s... read more 
Computer Vision and Pattern Recognition cs.GR

DermAgent: A Self-Reflective Agentic System for Dermatological Image Analysis with Multi-Tool Reasoning and Traceable Decision-Making

arXiv May 14, 2026
Dermatological diagnosis requires integrating fine-grained visual perception with expert clinical knowledge. Although Multimodal Large Language Models (MLLMs) facilitate interactive medical image analysis, their application in dermatology is hindered... read more 
Computer Vision and Pattern Recognition

GeoViSTA: Geospatial Vision-Tabular Transformer for Multimodal Environment Representation

arXiv May 14, 2026
Large-scale pretraining on Earth observation imagery has yielded powerful representations of the natural and built environment. However, most existing geospatial foundation models do not directly model the structured socioeconomic covariates typicall... read more 
Machine Learning cs.CV

GeoVista: Visually Grounded Active Perception for Ultra-High-Resolution Remote Sensing Understanding

arXiv May 14, 2026
Interpreting ultra-high-resolution (UHR) remote sensing images requires models to search for sparse and tiny visual evidence across large-scale scenes. Existing remote sensing vision-language models can inspect local regions with zooming and cropping... read more 
Computer Vision and Pattern Recognition
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