Artificial Intelligence Medical Compendium

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

Showing 33,801 to 33,810 of 221,510 articles

Instance-Adaptive Parametrization for Amortized Variational Inference

arXiv Apr 8, 2026
Latent variable models, including variational autoencoders (VAE), remain a central tool in modern deep generative modeling due to their scalability and a well-founded probabilistic formulation. These models rely on amortized variational inference to ... read more 
Machine Learning cs.AI

Enhanced Self-Supervised Multi-Image Super-Resolution for Camera Array Images

arXiv Apr 8, 2026
Conventional multi-image super-resolution (MISR) methods, such as burst and video SR, rely on sequential frames from a single camera. Consequently, they suffer from complex image degradation and severe occlusion, increasing the difficulty of accurate... read more 
Optics cs.CV

Vision-Language Model-Guided Deep Unrolling Enables Personalized, Fast MRI

arXiv Apr 8, 2026
Magnetic Resonance Imaging (MRI) is a cornerstone in medicine and healthcare but suffers from long acquisition times. Traditional accelerated MRI methods optimize for generic image quality, lacking adaptability for specific clinical tasks. To address... read more 
Computer Vision and Pattern Recognition

Physical Adversarial Attacks on AI Surveillance Systems:Detection, Tracking, and Visible--Infrared Evasion

arXiv Apr 8, 2026
Physical adversarial attacks are increasingly studied in settings that resemble deployed surveillance systems rather than isolated image benchmarks. In these settings, person detection, multi-object tracking, visible--infrared sensing, and the practi... read more 
Computer Vision and Pattern Recognition cs.AI

RefineAnything: Multimodal Region-Specific Refinement for Perfect Local Details

arXiv Apr 8, 2026
We introduce region-specific image refinement as a dedicated problem setting: given an input image and a user-specified region (e.g., a scribble mask or a bounding box), the goal is to restore fine-grained details while keeping all non-edited pixels ... read more 
Computer Vision and Pattern Recognition

Time-driven Survival Analysis from FDG-PET/CT in Non-Small Cell Lung Cancer

arXiv Apr 8, 2026
Purpose: Automated medical image-based prediction of clinical outcomes, such as overall survival (OS), has great potential in improving patient prognostics and personalized treatment planning. We developed a deep regression framework using tissue-wis... read more 
Computer Vision and Pattern Recognition

Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models

arXiv Apr 8, 2026
MLLMs require high-resolution visual inputs for fine-grained tasks like document understanding and dense scene perception. However, current global resolution scaling paradigms indiscriminately flood the quadratic self-attention mechanism with visuall... read more 
Computer Vision and Pattern Recognition cs.AI

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling

arXiv Apr 8, 2026
Reinforcement-Learning-based post-training has recently emerged as a promising paradigm for aligning text-to-image diffusion models with human preferences. In recent studies, increasing the rollout group size yields pronounced performance improvement... read more 
Machine Learning cs.AI cs.CV

Multi-modal user interface control detection using cross-attention

arXiv Apr 8, 2026
Detecting user interface (UI) controls from software screenshots is a critical task for automated testing, accessibility, and software analytics, yet it remains challenging due to visual ambiguities, design variability, and the lack of contextual cue... read more 
Computer Vision and Pattern Recognition cs.AI

POS-ISP: Pipeline Optimization at the Sequence Level for Task-aware ISP

arXiv Apr 8, 2026
Recent work has explored optimizing image signal processing (ISP) pipelines for various tasks by composing predefined modules and adapting them to task-specific objectives. However, jointly optimizing module sequences and parameters remains challengi... read more 
Computer Vision and Pattern Recognition
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