Artificial Intelligence Medical Compendium

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

Showing 9,961 to 9,970 of 208,614 articles

Comparative Study of Vision-Based Metric Measurement for Large-Scale Planar Scenes

arXiv May 26, 2026
Vision-based metric distance and area measurement remains challenging in large-scale outdoor environments due to long-range sensing, camera zoom, and unstable imaging conditions. This work studies planar metric measurement in a real-world reservoir m... read more 
Computer Vision and Pattern Recognition cs.AI

Variational Inference for Evidential Deep Learning

arXiv May 26, 2026
While Deep Neural Networks (DNNs) achieve remarkable performance, their tendency to produce overconfident predictions. Evidential Deep Learning (EDL) mitigates this by formulating predictions as a Dirichlet distribution over class probabilities to ex... read more 
Machine Learning

Clinically-Grounded Counterfactual Reasoning for Medical Video Diagnosis

arXiv May 26, 2026
Medical video diagnosis involves inferring clinical decisions from dynamic tissue responses throughout examination processes. Existing methods rely on an end-to-end learning paradigm that i) focuses on appearance rather than pathology, ii) lacks clin... read more 
Computer Vision and Pattern Recognition

Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models

arXiv May 26, 2026
Preference optimization has emerged as an efficient alternative to online reinforcement learning from human feedback (RLHF) for aligning text-to-image diffusion models. However, existing methods largely reduce supervision to binary pairwise compariso... read more 
Machine Learning cs.CV

Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization

arXiv May 26, 2026
Large Vision-Language Models (LVLMs) have transformed multi-modal understanding, excelling in tasks like image captioning and visual question answering by integrating visual and textual inputs. However, their robustness against adversarial attacks, p... read more 
Computer Vision and Pattern Recognition cs.AI

Re-M3Dr: Rebalanced MultiModal Mean Deviation Regression

arXiv May 26, 2026
Mean Deviation (MD) is a critical metric for assessing visual field loss in ophthalmology. While previous work has focused solely on predicting MD from Optical Coherence Tomography (OCT), it is intuitive to assume that combining OCT with another imag... read more 
Computer Vision and Pattern Recognition

CSV-ViT: A Vision Transformer with the Variable-sized Cortical Supervertices for Detection of Alzheimer's Disease Pathologies

arXiv May 26, 2026
Confirming Alzheimer's disease (AD) typically relies on positron emission tomography (PET), which remains costly and invasive, motivating the use of structural MRI-based prescreening. Deep learning on non-Euclidean manifolds, particularly brain corti... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Scheduled Style Injection: Expanding the Style-Content Pareto Frontier in Training-Free Diffusion-based Style Transfer

arXiv May 26, 2026
Style transfer with pre-trained diffusion models has advanced rapidly, but a core question remains underexplored: where in the model should style injection be strongest? StyleID, the leading training-free method, uses a single global parameter (gamma... read more 
Computer Vision and Pattern Recognition

Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference

arXiv May 26, 2026
Aligning a few-step generative model is challenging, since existing alignment frameworks typically rely on restrictive assumptions: a tractable likelihood, a specific ODE/SDE solver, or a particular model family. We introduce FAV, Few-step Generative... read more 
Machine Learning cs.AI

On the Error-Correcting Effects of Stochasticity in Discrete Diffusion

arXiv May 26, 2026
Discrete diffusion models achieve strong performance in text and image generation, but their inference remains slow and must inherently balance sampling efficiency and sample quality. In this work, we present a systematic study of how the \emph{degre... read more 
Machine Learning cs.AI
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