Artificial Intelligence Medical Compendium

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

Showing 25,501 to 25,510 of 217,759 articles

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation

arXiv Apr 27, 2026
Text guided 3D medical image segmentation offers a flexible alternative to class based and spatial prompt based models by allowing users to specify regions of interest directly in natural language. This paradigm avoids reliance on predefined label se... read more 
Computer Vision and Pattern Recognition

Learning Illumination Control in Diffusion Models

arXiv Apr 27, 2026
Controlling illumination in images is essential for photography and visual content creation. While closed-source models have demonstrated impressive illumination control, open-source alternatives either require heavy control inputs like depth maps or... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG eess.IV

VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations

arXiv Apr 27, 2026
We introduce an efficient, resolution-agnostic autoregressive (AR) image synthesis approach that generalizes to arbitrary resolutions and aspect ratios, narrowing the gap to diffusion models at scale. At its core is VibeToken, a novel resolution-agno... read more 
Computer Vision and Pattern Recognition cs.LG

VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis

arXiv Apr 27, 2026
We propose VISION-SLS, a method for nonlinear output-feedback control from high-resolution RGB images which provides robust constraint satisfaction guarantees under calibrated uncertainty bounds despite partial observability, sensor noise, and nonlin... read more 
Robotics cs.CV cs.LG eess.SY math.OC

Contrastive Image-Metadata Pre-Training for Materials Transmission Electron Microscopy

arXiv Apr 27, 2026
The vast majority of transmission electron microscopy (TEM) data never gets published and ends up on a backup drive until deleted to free up space. These left-over datasets are rich in detail and variation, often paired with automatically saved metad... read more 
Machine Learning cs.CE

Generative diffusion models for spatiotemporal influenza forecasting

arXiv Apr 27, 2026
Forecasting infectious disease incidence can provide important information to guide public health planning, yet is difficult because epidemic dynamics are complex. Current mechanistic and statistical approaches often struggle to capture multimodal un... read more 
Machine Learning q-bio.PE

Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization

arXiv Apr 27, 2026
Human visual preferences are inherently multi-dimensional, encompassing aesthetics, detail fidelity, and semantic alignment. However, existing datasets provide only single, holistic annotations, resulting in severe label noise: images that excel in s... read more 
Computer Vision and Pattern Recognition cs.AI

ViPO: Visual Preference Optimization at Scale

arXiv Apr 27, 2026
While preference optimization is crucial for improving visual generative models, how to effectively scale this paradigm remains largely unexplored. Current open-source preference datasets contain conflicting preference patterns, where winners excel i... read more 
Computer Vision and Pattern Recognition cs.AI

Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence

arXiv Apr 27, 2026
We introduce Nemotron 3 Nano Omni, the latest model in the Nemotron multimodal series and the first to natively support audio inputs alongside text, images, and video. Nemotron 3 Nano Omni delivers consistent accuracy improvements over its predecesso... read more 
Machine Learning cs.AI cs.CV

ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching

arXiv Apr 27, 2026
Object recognition (OR) in humans relies heavily on shape cues and the ability to recognize objects across varying 3D viewpoints. Unlike humans, deep networks often rely on non-shape cues such as texture and background, leading to vulnerabilities in ... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals