Artificial Intelligence Medical Compendium

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

Showing 18,761 to 18,770 of 214,544 articles

Generative Deep Learning for Computational Destaining and Restaining of Unregistered Digital Pathology Images

arXiv May 14, 2026
Conditional generative adversarial networks (cGANs) have enabled high-fidelity computational staining and destaining of hematoxylin and eosin (H&E) in digital pathology whole-slide images (WSI). However, their ability to generalize to out-of-distribu... read more 
Computer Vision and Pattern Recognition

Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks

arXiv May 14, 2026
Spiking neural networks (SNNs), which are brain-inspired and spike-driven, achieve high energy efficiency. However, a performance gap between SNNs and artificial neural networks (ANNs) still remains. Knowledge distillation (KD) is commonly adopted to... read more 
Machine Learning cs.AI

Towards Real-Time Autonomous Navigation: Transformer-Based Catheter Tip Tracking in Fluoroscopy

arXiv May 14, 2026
Purpose: Mechanical thrombectomy (MT) improves stroke outcomes, but is limited by a lack of local treatment access. Widespread distribution of reinforcement learning (RL)-based robotic systems can be used to alleviate this challenge through autonomou... read more 
Computer Vision and Pattern Recognition cs.LG

Architecture-Aware Explanation Auditing for Industrial Visual Inspection

arXiv May 14, 2026
Industrial visual inspection systems increasingly rely on deep classifiers whose heatmap explanations may appear visually plausible while failing to identify the image regions that actually drive model decisions. This paper operationalizes an archite... read more 
Machine Learning cs.CV

Image Restoration via Diffusion Models with Dynamic Resolution

arXiv May 14, 2026
Diffusion models (DMs) have exhibited remarkable efficacy in various image restoration tasks. However, existing approaches typically operate within the high-dimensional pixel space, resulting in high computational overhead. While methods based on lat... read more 
Computer Vision and Pattern Recognition cs.AI

Diagnosing and Correcting Concept Omission in Multimodal Diffusion Transformers

arXiv May 14, 2026
Multimodal Diffusion Transformers (MM-DiTs) have achieved remarkable progress in text-to-image generation, yet they frequently suffer from concept omission, where specified objects or attributes fail to emerge in the generated image. By performing li... read more 
Computer Vision and Pattern Recognition

Training-Free Generative Sampling via Moment-Matched Score Smoothing

arXiv May 14, 2026
Diffusion models generate samples by denoising along the score of a perturbed target distribution. In practice, one trains a neural diffusion model, which is computationally expensive. Recent work suggests that score matching implicitly smooths the e... read more 
Machine Learning cs.LG

Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings

arXiv May 14, 2026
Comparative evaluation of multiple dynamic treatment policies is essential for healthcare and policy decisions, yet conventional longitudinal causal inference methods estimate each in isolation, preventing information sharing across counterfactuals. ... read more 
Machine Learning

ICED: Concept-level Machine Unlearning via Interpretable Concept Decomposition

arXiv May 14, 2026
Machine unlearning in Vision-Language Models (VLMs) is typically performed at the image or instance level, making it difficult to precisely remove target knowledge without affecting unrelated semantics. This issue is especially pronounced since a sin... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

D2-CDIG: Controlled Diffusion Remote Sensing Image Generation with Dual Priors of DEM and Cloud-Fog

arXiv May 14, 2026
Remote sensing image generation provides a reliable data foundation for remote sensing large models and downstream tasks. However, existing controllable remote sensing image generation methods typically rely on traditional techniques such as segmenta... read more 
Computer Vision and Pattern Recognition
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