Artificial Intelligence Medical Compendium

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

Showing 19,431 to 19,440 of 214,800 articles

DIVER:Diving Deeper into Distilled Data via Expressive Semantic Recovery

arXiv May 12, 2026
Dataset distillation aims to synthesize a compact proxy dataset that is unreadable or non-raw from the original dataset for privacy protection and highly efficient learning. However, previous approaches typically adopt a single-stage distillation par... read more 
Computer Vision and Pattern Recognition

CRAFT: Clinical Reward-Aligned Finetuning for Medical Image Synthesis

arXiv May 12, 2026
Foundation diffusion models can generate photorealistic natural images, but adapting them to medical imaging remains challenging. In medical adaptation, limited labeled data can exacerbate hallucination-like and clinically implausible synthesis, whil... read more 
Computer Vision and Pattern Recognition

scShapeBench: Discovering geometry from high dimensional scRNAseq data

arXiv May 12, 2026
High-dimensional point cloud data arise across many scientific domains, especially single-cell biology. The shapes or topologies of these datasets determine the types of information that can be extracted. For example, clustered data supports cell-typ... read more 
Machine Learning q-bio.GN

Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty?

arXiv May 12, 2026
Multimodal large language models (MLLMs) are now routinely deployed for visual understanding, generation, and curation. A substantial fraction of these applications require an explicit aesthetic judgment. Most existing solutions reduce this judgment ... read more 
Computer Vision and Pattern Recognition cs.AI cs.HC

MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence

arXiv May 12, 2026
We introduce MMCL-Bench, a benchmark for multimodal context learning: learning task-local rules, procedures, and empirical patterns from visual or mixed-modality teaching context and applying them to new visual instances. Unlike text-only context lea... read more 
Computer Vision and Pattern Recognition cs.AI

A Resampling-Based Framework for Network Structure Learning in High-Dimensional Data

arXiv May 12, 2026
RSNet is an open-source R package that provides a resampling-based framework for robust and interpretable network inference, designed to address the limited-sample-size challenges common in high-dimensional data. It supports both the estimation of pa... read more 
Machine Learning q-bio.GN

Spectral Energy Centroid: a Metric for Improving Performance and Analyzing Spectral Bias in Implicit Neural Representations

arXiv May 12, 2026
Implicit Neural Representations (INRs) model continuous signals using multilayer perceptrons (MLPs), enabling compact, differentiable, and high-fidelity representations of data across diverse domains. However, due to the low-frequency bias of MLPs th... read more 
Machine Learning

Inline Critic Steers Image Editing

arXiv May 12, 2026
Instruction-based image editing exhibits heterogeneous difficulty not only across cases but also across regions of an image, motivating refinement approaches that allocate correction to where the model struggles. Existing refinement signals arrive la... read more 
Computer Vision and Pattern Recognition cs.AI

Optimization in Sparse 2D to Dense 3D Weakly Supervised Learning: Application to Multi-Label Segmentation of Large ex vivo MRI Data

arXiv May 12, 2026
INTRODUCTION | Fully supervised 3D segmentation of high-resolution ex vivo MRI is limited by the prohibitive cost of volumetric annotation, forcing reliance on sparse 2D slices. Weakly supervised Sparse-to-Dense frameworks bridge this gap, but guidel... read more 
Image and Video Processing cs.CV cs.LG

SoK: A Comprehensive Analysis of the Current Status of Neural Tangent Generalization Attacks with Research Directions

arXiv May 12, 2026
There is recently a serious issue that Deep Neural Networks (DNNs) training uses more and more unauthorized data. A clean-label generalization attack, one type of data poisoning attacks, has been suggested to address this issue. The Neural Tangent Ge... read more 
Machine Learning
Popular Topics
Recent Journals