Artificial Intelligence Medical Compendium

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

Showing 41,151 to 41,160 of 223,737 articles

Bridging the Simulation-to-Reality Gap in Electron Microscope Calibration via VAE-EM Estimation

arXiv Mar 17, 2026
Electron microscopy has enabled many scientific breakthroughs across multiple fields. A key challenge is the tuning of microscope parameters based on images to overcome optical aberrations that deteriorate image quality. This calibration problem is c... read more 
Computer Vision and Pattern Recognition cs.LG

CompDiff: Hierarchical Compositional Diffusion for Fair and Zero-Shot Intersectional Medical Image Generation

arXiv Mar 17, 2026
Generative models are increasingly used to augment medical imaging datasets for fairer AI. Yet a key assumption often goes unexamined: that generators themselves produce equally high-quality images across demographic groups. Models trained on imbalan... read more 
Computer Vision and Pattern Recognition cs.AI

Understanding Cell Fate Decisions with Temporal Attention

arXiv Mar 17, 2026
Understanding non-genetic determinants of cell fate is critical for developing and improving cancer therapies, as genetically identical cells can exhibit divergent outcomes under the same treatment conditions. In this work, we present a deep learning... read more 
Computer Vision and Pattern Recognition q-bio.CB q-bio.QM

Deep Tabular Representation Corrector

arXiv Mar 17, 2026
Tabular data have been playing a mostly important role in diverse real-world fields, such as healthcare, engineering, finance, etc. The recent success of deep learning has fostered many deep networks (e.g., Transformer, ResNet) based tabular learning... read more 
Machine Learning

Face2Scene: Using Facial Degradation as an Oracle for Diffusion-Based Scene Restoration

arXiv Mar 17, 2026
Recent advances in image restoration have enabled high-fidelity recovery of faces from degraded inputs using reference-based face restoration models (Ref-FR). However, such methods focus solely on facial regions, neglecting degradation across the ful... read more 
Computer Vision and Pattern Recognition

REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models

arXiv Mar 17, 2026
Recent progress in image generation models (IGMs) enables high-fidelity content creation but also amplifies risks, including the reproduction of copyrighted content and the generation of offensive content. Image Generation Model Unlearning (IGMU) mit... read more 
Computer Vision and Pattern Recognition cs.AI cs.CR cs.LG

HistoAtlas: A Pan-Cancer Morphology Atlas Linking Histomics to Molecular Programs and Clinical Outcomes

arXiv Mar 17, 2026
We present HistoAtlas, a pan-cancer computational atlas that extracts 38 interpretable histomic features from 6,745 diagnostic H&E slides across 21 TCGA cancer types and systematically links every feature to survival, gene expression, somatic mutatio... read more 
Quantitative Methods cs.CV eess.IV

On the Transfer of Collinearity to Computer Vision

arXiv Mar 17, 2026
Collinearity is a visual perception phenomenon in the human brain that amplifies spatially aligned edges arranged along a straight line. However, it is vague for which purpose humans might have this principle in the real-world, and its utilization in... read more 
Computer Vision and Pattern Recognition

MLLM-based Textual Explanations for Face Comparison

arXiv Mar 17, 2026
Multimodal Large Language Models (MLLMs) have recently been proposed as a means to generate natural-language explanations for face recognition decisions. While such explanations facilitate human interpretability, their reliability on unconstrained fa... read more 
Computer Vision and Pattern Recognition cs.AI

BUSSARD: Normalizing Flows for Bijective Universal Scene-Specific Anomalous Relationship Detection

arXiv Mar 17, 2026
We propose Bijective Universal Scene-Specific Anomalous Relationship Detection (BUSSARD), a normalizing flow-based model for detecting anomalous relations in scene graphs, generated from images. Our work follows a multimodal approach, embedding objec... read more 
Computer Vision and Pattern Recognition
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