Artificial Intelligence Medical Compendium

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

Showing 47,651 to 47,660 of 224,199 articles

Not Just What's There: Enabling CLIP to Comprehend Negated Visual Descriptions Without Fine-tuning

arXiv Feb 24, 2026
Vision-Language Models (VLMs) like CLIP struggle to understand negation, often embedding affirmatives and negatives similarly (e.g., matching "no dog" with dog images). Existing methods refine negation understanding via fine-tuning CLIP's text encode... read more 
Computer Vision and Pattern Recognition cs.MM

PIME: Prototype-based Interpretable MCTS-Enhanced Brain Network Analysis for Disorder Diagnosis

arXiv Feb 24, 2026
Recent deep learning methods for fMRI-based diagnosis have achieved promising accuracy by modeling functional connectivity networks. However, standard approaches often struggle with noisy interactions, and conventional post-hoc attribution methods ma... read more 
Machine Learning

VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation

arXiv Feb 24, 2026
Large Vision-Language Models (LVLMs) frequently hallucinate, limiting their safe deployment in real-world applications. Existing LLM self-evaluation methods rely on a model's ability to estimate the correctness of its own outputs, which can improve d... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

Motivation is Something You Need

arXiv Feb 24, 2026
This work introduces a novel training paradigm that draws from affective neuroscience. Inspired by the interplay of emotions and cognition in the human brain and more specifically the SEEKING motivational state, we design a dual-model framework where... read more 
Artificial Intelligence cs.CV cs.LG

Scaling Vision Transformers: Evaluating DeepSpeed for Image-Centric Workloads

arXiv Feb 24, 2026
Vision Transformers (ViTs) have demonstrated remarkable potential in image processing tasks by utilizing self-attention mechanisms to capture global relationships within data. However, their scalability is hindered by significant computational and me... read more 
Machine Learning eess.SP

Skullptor: High Fidelity 3D Head Reconstruction in Seconds with Multi-View Normal Prediction

arXiv Feb 24, 2026
Reconstructing high-fidelity 3D head geometry from images is critical for a wide range of applications, yet existing methods face fundamental limitations. Traditional photogrammetry achieves exceptional detail but requires extensive camera arrays (25... read more 
Computer Vision and Pattern Recognition cs.GR

Event-Aided Sharp Radiance Field Reconstruction for Fast-Flying Drones

arXiv Feb 24, 2026
Fast-flying aerial robots promise rapid inspection under limited battery constraints, with direct applications in infrastructure inspection, terrain exploration, and search and rescue. However, high speeds lead to severe motion blur in images and ind... read more 
Computer Vision and Pattern Recognition cs.RO

BrepGaussian: CAD reconstruction from Multi-View Images with Gaussian Splatting

arXiv Feb 24, 2026
The boundary representation (B-rep) models a 3D solid as its explicit boundaries: trimmed corners, edges, and faces. Recovering B-rep representation from unstructured data is a challenging and valuable task of computer vision and graphics. Recent adv... read more 
Computer Vision and Pattern Recognition

SynthRender and IRIS: Open-Source Framework and Dataset for Bidirectional Sim-Real Transfer in Industrial Object Perception

arXiv Feb 24, 2026
Object perception is fundamental for tasks such as robotic material handling and quality inspection. However, modern supervised deep-learning perception models require large datasets for robust automation under semi-uncontrolled conditions. The cost ... read more 
Computer Vision and Pattern Recognition

LUMEN: Longitudinal Multi-Modal Radiology Model for Prognosis and Diagnosis

arXiv Feb 24, 2026
Large vision-language models (VLMs) have evolved from general-purpose applications to specialized use cases such as in the clinical domain, demonstrating potential for decision support in radiology. One promising application is assisting radiologists... read more 
Computer Vision and Pattern Recognition cs.LG
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