Artificial Intelligence Medical Compendium

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

Showing 34,791 to 34,800 of 221,633 articles

True to Tone? Quantifying Skin Tone Fidelity and Bias in Photographic-to-Virtual Human Pipelines

arXiv Apr 2, 2026
Accurate reproduction of facial skin tone is essential for realism, identity preservation, and fairness in Virtual Human (VH) rendering. However, most accessible avatar creation pipelines rely on photographic inputs that lack colorimetric calibration... read more 
Computer Vision and Pattern Recognition

Mining Instance-Centric Vision-Language Contexts for Human-Object Interaction Detection

arXiv Apr 2, 2026
Human-Object Interaction (HOI) detection aims to localize human-object pairs and classify their interactions from a single image, a task that demands strong visual understanding and nuanced contextual reasoning. Recent approaches have leveraged Visio... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

FlowSlider: Training-Free Continuous Image Editing via Fidelity-Steering Decomposition

arXiv Apr 2, 2026
Continuous image editing aims to provide slider-style control of edit strength while preserving source-image fidelity and maintaining a consistent edit direction. Existing learning-based slider methods typically rely on auxiliary modules trained with... read more 
Computer Vision and Pattern Recognition

Center-Aware Detection with Swin-based Co-DETR Framework for Cervical Cytology

arXiv Apr 2, 2026
Automated analysis of Pap smear images is critical for cervical cancer screening but remains challenging due to dense cell distribution and complex morphology. In this paper, we present our winning solution for the RIVA Cervical Cytology Challenge, a... read more 
Computer Vision and Pattern Recognition

DenOiS: Dual-Domain Denoising of Observation and Solution in Ultrasound Image Reconstruction

arXiv Apr 2, 2026
Medical imaging aims to recover underlying tissue properties, using inexact (simplified/linearized) imaging models and often from inaccurate and incomplete measurements. Analytical reconstruction methods rely on hand-crafted regularization, sensitive... read more 
Image and Video Processing cs.CV

Reflection Generation for Composite Image Using Diffusion Model

arXiv Apr 2, 2026
Image composition involves inserting a foreground object into the background while synthesizing environment-consistent effects such as shadows and reflections. Although shadow generation has been extensively studied, reflection generation remains lar... read more 
Computer Vision and Pattern Recognition

ViT-Explainer: An Interactive Walkthrough of the Vision Transformer Pipeline

arXiv Apr 2, 2026
Transformer-based architectures have become the shared backbone of natural language processing and computer vision. However, understanding how these models operate remains challenging, particularly in vision settings, where images are processed as se... read more 
Computer Vision and Pattern Recognition cs.HC

QuantumXCT: Learning Interaction-Induced State Transformation in Cell-Cell Communication via Quantum Entanglement and Generative Modeling

arXiv Apr 2, 2026
Inferring cell-cell communication (CCC) from single-cell transcriptomics remains fundamentally limited by reliance on curated ligand-receptor databases, which primarily capture co-expression rather than the system-level effects of signaling on cellul... read more 
Emerging Technologies physics.bio-ph physics.data-an q-bio.GN

SPAR: Single-Pass Any-Resolution ViT for Open-vocabulary Segmentation

arXiv Apr 2, 2026
Foundational Vision Transformers (ViTs) have limited effectiveness in tasks requiring fine-grained spatial understanding, due to their fixed pre-training resolution and inherently coarse patch-level representations. These challenges are especially pr... read more 
Computer Vision and Pattern Recognition

Modular Energy Steering for Safe Text-to-Image Generation with Foundation Models

arXiv Apr 2, 2026
Controlling the behavior of text-to-image generative models is critical for safe and practical deployment. Existing safety approaches typically rely on model fine-tuning or curated datasets, which can degrade generation quality or limit scalability. ... read more 
Computer Vision and Pattern Recognition
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