Artificial Intelligence Medical Compendium

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

Showing 47,641 to 47,650 of 224,199 articles

Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels

arXiv Feb 24, 2026
An electroencephalogram (EEG) records the spatially averaged electrical activity of neurons in the brain, measured from the human scalp. Prior studies have explored EEG-based classification of objects or concepts, often for passive viewing of briefly... read more 
Machine Learning cs.HC eess.SP

See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis

arXiv Feb 24, 2026
Despite recent advances in diffusion models, AI generated images still often contain visual artifacts that compromise realism. Although more thorough pre-training and bigger models might reduce artifacts, there is no assurance that they can be comple... read more 
Computer Vision and Pattern Recognition cs.AI

EKF-Based Depth Camera and Deep Learning Fusion for UAV-Person Distance Estimation and Following in SAR Operations

arXiv Feb 24, 2026
Search and rescue (SAR) operations require rapid responses to save lives or property. Unmanned Aerial Vehicles (UAVs) equipped with vision-based systems support these missions through prior terrain investigation or real-time assistance during the mis... read more 
Robotics cs.AI

Are Multimodal Large Language Models Good Annotators for Image Tagging?

arXiv Feb 24, 2026
Image tagging, a fundamental vision task, traditionally relies on human-annotated datasets to train multi-label classifiers, which incurs significant labor and costs. While Multimodal Large Language Models (MLLMs) offer promising potential to automat... read more 
Computer Vision and Pattern Recognition

CrystaL: Spontaneous Emergence of Visual Latents in MLLMs

arXiv Feb 24, 2026
Multimodal Large Language Models (MLLMs) have achieved remarkable performance by integrating powerful language backbones with large-scale visual encoders. Among these, latent Chain-of-Thought (CoT) methods enable implicit reasoning in continuous hidd... read more 
Computer Vision and Pattern Recognition cs.AI

Cycle-Consistent Tuning for Layered Image Decomposition

arXiv Feb 24, 2026
Disentangling visual layers in real-world images is a persistent challenge in vision and graphics, as such layers often involve non-linear and globally coupled interactions, including shading, reflection, and perspective distortion. In this work, we ... read more 
Computer Vision and Pattern Recognition

Multimodal MRI Report Findings Supervised Brain Lesion Segmentation with Substructures

arXiv Feb 24, 2026
Report-supervised (RSuper) learning seeks to alleviate the need for dense tumor voxel labels with constraints derived from radiology reports (e.g., volumes, counts, sizes, locations). In MRI studies of brain tumors, however, we often involve multi-pa... read more 
Image and Video Processing cs.AI cs.CL cs.CV cs.LG

VII: Visual Instruction Injection for Jailbreaking Image-to-Video Generation Models

arXiv Feb 24, 2026
Image-to-Video (I2V) generation models, which condition video generation on reference images, have shown emerging visual instruction-following capability, allowing certain visual cues in reference images to act as implicit control signals for video g... read more 
Computer Vision and Pattern Recognition

Le-DETR: Revisiting Real-Time Detection Transformer with Efficient Encoder Design

arXiv Feb 24, 2026
Real-time object detection is crucial for real-world applications as it requires high accuracy with low latency. While Detection Transformers (DETR) have demonstrated significant performance improvements, current real-time DETR models are challenging... read more 
Computer Vision and Pattern Recognition

MIP Candy: A Modular PyTorch Framework for Medical Image Processing

arXiv Feb 24, 2026
Medical image processing demands specialized software that handles high-dimensional volumetric data, heterogeneous file formats, and domain-specific training procedures. Existing frameworks either provide low-level components that require substantial... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.SE
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