Artificial Intelligence Medical Compendium

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

Showing 59,641 to 59,650 of 228,014 articles

Tracing 3D Anatomy in 2D Strokes: A Multi-Stage Projection Driven Approach to Cervical Spine Fracture Identification

arXiv Jan 21, 2026
Cervical spine fractures are critical medical conditions requiring precise and efficient detection for effective clinical management. This study explores the viability of 2D projection-based vertebra segmentation for vertebra-level fracture detection... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

FlowSSC: Universal Generative Monocular Semantic Scene Completion via One-Step Latent Diffusion

arXiv Jan 21, 2026
Semantic Scene Completion (SSC) from monocular RGB images is a fundamental yet challenging task due to the inherent ambiguity of inferring occluded 3D geometry from a single view. While feed-forward methods have made progress, they often struggle to ... read more 
Computer Vision and Pattern Recognition cs.RO

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention

arXiv Jan 21, 2026
We study positional encodings for multi-view transformers that process tokens from a set of posed input images, and seek a mechanism that encodes patches uniquely, allows SE(3)-invariant attention with multi-frequency similarity, and can be adaptive ... read more 
Computer Vision and Pattern Recognition cs.LG

LuxRemix: Lighting Decomposition and Remixing for Indoor Scenes

arXiv Jan 21, 2026
We present a novel approach for interactive light editing in indoor scenes from a single multi-view scene capture. Our method leverages a generative image-based light decomposition model that factorizes complex indoor scene illumination into its cons... read more 
Computer Vision and Pattern Recognition cs.GR

Iterative Refinement Improves Compositional Image Generation

arXiv Jan 21, 2026
Text-to-image (T2I) models have achieved remarkable progress, yet they continue to struggle with complex prompts that require simultaneously handling multiple objects, relations, and attributes. Existing inference-time strategies, such as parallel sa... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.RO

APPLE: Attribute-Preserving Pseudo-Labeling for Diffusion-Based Face Swapping

arXiv Jan 21, 2026
Face swapping aims to transfer the identity of a source face onto a target face while preserving target-specific attributes such as pose, expression, lighting, skin tone, and makeup. However, since real ground truth for face swapping is unavailable, ... read more 
Computer Vision and Pattern Recognition

Scribble-Supervised Medical Image Segmentation with Dynamic Teacher Switching and Hierarchical Consistency

arXiv Jan 21, 2026
Scribble-supervised methods have emerged to mitigate the prohibitive annotation burden in medical image segmentation. However, the inherent sparsity of these annotations introduces significant ambiguity, which results in noisy pseudo-label propagatio... read more 
Computer Vision and Pattern Recognition

Anatomically Guided Latent Diffusion for Brain MRI Progression Modeling

arXiv Jan 21, 2026
Accurately modeling longitudinal brain MRI progression is crucial for understanding neurodegenerative diseases and predicting individualized structural changes. Existing state-of-the-art approaches, such as Brain Latent Progression (BrLP), often use ... read more 
Computer Vision and Pattern Recognition

Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation

arXiv Jan 21, 2026
Counterfactual explanations (CFEs) provide human-centric interpretability by identifying the minimal, actionable changes required to alter a machine learning model's prediction. Therefore, CFs can be used as (i) interventions for abnormality preventi... read more 
Machine Learning

From Volumes to Slices: Computationally Efficient Contrastive Learning for Sequential Abdominal CT Analysis

arXiv Jan 21, 2026
The requirement for expert annotations limits the effectiveness of deep learning for medical image analysis. Although 3D self-supervised methods like volume contrast learning (VoCo) are powerful and partially address the labeling scarcity issue, thei... read more 
Computer Vision and Pattern Recognition cs.LG
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