Artificial Intelligence Medical Compendium

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

Showing 33,691 to 33,700 of 221,422 articles

Bridging MRI and PET physiology: Untangling complementarity through orthogonal representations

arXiv
Multimodal imaging analysis often relies on joint latent representations, yet these approaches rarely define what information is shared versus modality-specific. Clarifying this distinction is clinically relevant, as it delineates the irreducible con... read more 

DINO-QPM: Adapting Visual Foundation Models for Globally Interpretable Image Classification

arXiv
Although visual foundation models like DINOv2 provide state-of-the-art performance as feature extractors, their complex, high-dimensional representations create substantial hurdles for interpretability. This work proposes DINO-QPM, which converts the... read more 

Multiple Domain Generalization Using Category Information Independent of Domain Differences

arXiv
Domain generalization is a technique aimed at enabling models to maintain high accuracy when applied to new environments or datasets (unseen domains) that differ from the datasets used in training. Generally, the accuracy of models trained on a speci... read more 

Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis

arXiv
We propose a geometric framework for longitudinal multi-parametric MRI analysis based on patient-specific energy modelling in sequence space. Rather than operating on images with spatial networks, each voxel is represented by its multi-sequence inten... read more 

BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment

arXiv
Multimodal retrieval systems struggle to resolve image-text queries against text-only corpora: the best vision-language encoder achieves only 27.6 nDCG@10 on MM-BRIGHT, underperforming strong text-only retrievers. We argue the bottleneck is not the r... read more 

VersaVogue: Visual Expert Orchestration and Preference Alignment for Unified Fashion Synthesis

arXiv
Diffusion models have driven remarkable advancements in fashion image generation, yet prior works usually treat garment generation and virtual dressing as separate problems, limiting their flexibility in real-world fashion workflows. Moreover, fashio... read more 

PhyEdit: Towards Real-World Object Manipulation via Physically-Grounded Image Editing

arXiv
Achieving physically accurate object manipulation in image editing is essential for its potential applications in interactive world models. However, existing visual generative models often fail at precise spatial manipulation, resulting in incorrect ... read more 

PhyEdit: Towards Real-World Object Manipulation via Physically-Grounded Image Editing

arXiv
Achieving physically accurate object manipulation in image editing is essential for its potential applications in interactive world models. However, existing visual generative models often fail at precise spatial manipulation, resulting in incorrect ... read more 

TurPy: a physics-based and differentiable optical turbulence simulator for algorithmic development and system optimization

arXiv
Developing optical systems for free-space applications requires simulation tools that accurately capture turbulence-induced wavefront distortions and support gradient-based optimization. Here we introduce TurPy, a GPU-accelerated, fully differentiabl... read more 

Non-identifiability of Explanations from Model Behavior in Deep Networks of Image Authenticity Judgments

arXiv
Deep neural networks can predict human judgments, but this does not imply that they rely on human-like information or reveal the cues underlying those judgments. Prior work has addressed this issue using attribution heatmaps, but their explanatory va... read more