Artificial Intelligence Medical Compendium

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

Showing 40,531 to 40,540 of 223,737 articles

EchoGen: Cycle-Consistent Learning for Unified Layout-Image Generation and Understanding

arXiv Mar 18, 2026
In this work, we present EchoGen, a unified framework for layout-to-image generation and image grounding, capable of generating images with accurate layouts and high fidelity to text descriptions (e.g., spatial relationships), while grounding the ima... read more 
Computer Vision and Pattern Recognition

Universal Skeleton Understanding via Differentiable Rendering and MLLMs

arXiv Mar 18, 2026
Multimodal large language models (MLLMs) exhibit strong visual-language reasoning, yet remain confined to their native modalities and cannot directly process structured, non-visual data such as human skeletons. Existing methods either compress skelet... read more 
Computer Vision and Pattern Recognition

A vision for a colorectal digital twin that enables proactive and personalized disease management

arXiv Mar 18, 2026
Colorectal cancer, inflammatory bowel disease, and diverticular disease are progressive conditions that affect millions of individuals worldwide and impose substantial clinical and economic burdens. Early detection and personalized management are ess... read more 
Emerging Technologies

DarkDriving: A Real-World Day and Night Aligned Dataset for Autonomous Driving in the Dark Environment

arXiv Mar 18, 2026
The low-light conditions are challenging to the vision-centric perception systems for autonomous driving in the dark environment. In this paper, we propose a new benchmark dataset (named DarkDriving) to investigate the low-light enhancement for auton... read more 
Computer Vision and Pattern Recognition cs.DB

SSP-SAM: SAM with Semantic-Spatial Prompt for Referring Expression Segmentation

arXiv Mar 18, 2026
The Segment Anything Model (SAM) excels at general image segmentation but has limited ability to understand natural language, which restricts its direct application in Referring Expression Segmentation (RES). Toward this end, we propose SSP-SAM, a fr... read more 
Computer Vision and Pattern Recognition

CytoSyn: a Foundation Diffusion Model for Histopathology -- Tech Report

arXiv Mar 18, 2026
Computational pathology has made significant progress in recent years, fueling advances in both fundamental disease understanding and clinically ready tools. This evolution is driven by the availability of large amounts of digitized slides and specia... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

One-to-More: High-Fidelity Training-Free Anomaly Generation with Attention Control

arXiv Mar 18, 2026
Industrial anomaly detection (AD) is characterized by an abundance of normal images but a scarcity of anomalous ones. Although numerous few-shot anomaly synthesis methods have been proposed to augment anomalous data for downstream AD tasks, most exis... read more 
Computer Vision and Pattern Recognition

Q-Drift: Quantization-Aware Drift Correction for Diffusion Model Sampling

arXiv Mar 18, 2026
Post-training quantization (PTQ) is a practical path to deploy large diffusion models, but quantization noise can accumulate over the denoising trajectory and degrade generation quality. We propose Q-Drift, a principled sampler-side correction that t... read more 
Computer Vision and Pattern Recognition cs.LG

Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters

arXiv Mar 18, 2026
Recent adapter-based CLIP tuning (e.g., Tip-Adapter) is a strong few-shot learner, achieving efficiency by caching support features for fast prototype matching. However, these methods rely on global uni-modal feature vectors, overlooking fine-grained... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

STEP: Detecting Audio Backdoor Attacks via Stability-based Trigger Exposure Profiling

arXiv Mar 18, 2026
With the widespread deployment of deep-learning-based speech models in security-critical applications, backdoor attacks have emerged as a serious threat: an adversary who poisons a small fraction of training data can implant a hidden trigger that con... read more 
Cryptography and Security cs.LG cs.SD
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