Artificial Intelligence Medical Compendium

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

Showing 32,811 to 32,820 of 221,227 articles

EGLOCE: Training-Free Energy-Guided Latent Optimization for Concept Erasure

arXiv Apr 10, 2026
As text-to-image diffusion models grow increasingly prevalent, the ability to remove specific concepts-mostly explicit content and many copyrighted characters or styles-has become essential for safety and compliance. Existing unlearning approaches of... read more 
Computer Vision and Pattern Recognition

Multi-task Just Recognizable Difference for Video Coding for Machines: Database, Model, and Coding Application

arXiv Apr 10, 2026
Just Recognizable Difference (JRD) boosts coding efficiency for machine vision through visibility threshold modeling, but is currently limited to a single-task scenario. To address this issue, we propose a Multi-Task JRD (MT-JRD) dataset and an Attri... read more 
Image and Video Processing cs.CV cs.MM

Do Vision Language Models Need to Process Image Tokens?

arXiv Apr 10, 2026
Vision Language Models (VLMs) have achieved remarkable success by integrating visual encoders with large language models (LLMs). While VLMs process dense image tokens across deep transformer stacks (incurring substantial computational overhead), it r... read more 
Computer Vision and Pattern Recognition

Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories

arXiv Apr 10, 2026
Recovering camera parameters from images and rendering scenes from novel viewpoints have long been treated as separate tasks in computer vision and graphics. This separation breaks down when image coverage is sparse or poses are ambiguous, since each... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

SCoRe: Clean Image Generation from Diffusion Models Trained on Noisy Images

arXiv Apr 10, 2026
Diffusion models trained on noisy datasets often reproduce high-frequency training artifacts, significantly degrading generation quality. To address this, we propose SCoRe (Spectral Cutoff Regeneration), a training-free, generation-time spectral rege... read more 
Computer Vision and Pattern Recognition

AsymLoc: Towards Asymmetric Feature Matching for Efficient Visual Localization

arXiv Apr 10, 2026
Precise and real-time visual localization is critical for applications like AR/VR and robotics, especially on resource-constrained edge devices such as smart glasses, where battery life and heat dissipation can be a primary concerns. While many effic... read more 
Computer Vision and Pattern Recognition

ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion

arXiv Apr 10, 2026
Chest X-ray report generation (CXR-RG) has the potential to substantially alleviate radiologists' workload. However, conventional autoregressive vision--language models (VLMs) suffer from high inference latency due to sequential token decoding. Diffu... read more 
Machine Learning cs.AI eess.IV

An Open-Source, Open Data Approach to Activity Classification from Triaxial Accelerometry in an Ambulatory Setting

arXiv Apr 10, 2026
The accelerometer has become an almost ubiquitous device, providing enormous opportunities in healthcare monitoring beyond step counting or other average energy estimates in 15-60 second epochs. Objective: To develop an open data set with associate... read more 
Quantitative Methods cs.LG

DSVTLA: Deep Swin Vision Transformer-Based Transfer Learning Architecture for Multi-Type Cancer Histopathological Cancer Image Classification

arXiv Apr 10, 2026
In this study, we proposed a deep Swin-Vision Transformer-based transfer learning architecture for robust multi-cancer histopathological image classification. The proposed framework integrates a hierarchical Swin Transformer with ResNet50-based convo... read more 
Image and Video Processing cs.CV

VISOR: Agentic Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning

arXiv Apr 10, 2026
Visual Retrieval-Augmented Generation (VRAG) empowers Vision-Language Models to retrieve and reason over visually rich documents. To tackle complex queries requiring multi-step reasoning, agentic VRAG systems interleave reasoning with iterative retri... read more 
Computer Vision and Pattern Recognition cs.AI
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