Artificial Intelligence Medical Compendium

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

Showing 39,461 to 39,470 of 223,737 articles

Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language Models

arXiv Mar 23, 2026
Continual unlearning poses the challenge of enabling large vision-language models to selectively refuse specific image-instruction pairs in response to sequential deletion requests, while preserving general utility. However, sequential unlearning upd... read more 
Computer Vision and Pattern Recognition

GaussianSSC: Triplane-Guided Directional Gaussian Fields for 3D Semantic Completion

arXiv Mar 23, 2026
We present \emph{GaussianSSC}, a two-stage, grid-native and triplane-guided approach to semantic scene completion (SSC) that injects the benefits of Gaussians without replacing the voxel grid or maintaining a separate Gaussian set. We introduce \emph... read more 
Robotics cs.LG

Agentic Automation of BT-RADS Scoring: End-to-End Multi-Agent System for Standardized Brain Tumor Follow-up Assessment

arXiv Mar 23, 2026
The Brain Tumor Reporting and Data System (BT-RADS) standardizes post-treatment MRI response assessment in patients with diffuse gliomas but requires complex integration of imaging trends, medication effects, and radiation timing. This study evaluate... read more 
Computation and Language cs.MA

Parameter-efficient Prompt Tuning and Hierarchical Textual Guidance for Few-shot Whole Slide Image Classification

arXiv Mar 23, 2026
Whole Slide Images (WSIs) are giga-pixel in scale and are typically partitioned into small instances in WSI classification pipelines for computational feasibility. However, obtaining extensive instance level annotations is costly, making few-shot wea... read more 
Computer Vision and Pattern Recognition

Unregistered Spectral Image Fusion: Unmixing, Adversarial Learning, and Recoverability

arXiv Mar 23, 2026
This paper addresses the fusion of a pair of spatially unregistered hyperspectral image (HSI) and multispectral image (MSI) covering roughly overlapping regions. HSIs offer high spectral but low spatial resolution, while MSIs provide the opposite. Th... read more 
Image and Video Processing cs.CV

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection

arXiv Mar 23, 2026
Zero-shot (ZS) 3D anomaly detection is crucial for reliable industrial inspection, as it enables detecting and localizing defects without requiring any target-category training data. Existing approaches render 3D point clouds into 2D images and lever... read more 
Computer Vision and Pattern Recognition

PEARL: Geometry Aligns Semantics for Training-Free Open-Vocabulary Semantic Segmentation

arXiv Mar 23, 2026
Training-free open-vocabulary semantic segmentation (OVSS) promises rapid adaptation to new label sets without retraining. Yet, many methods rely on heavy post-processing or handle text and vision in isolation, leaving cross-modal geometry underutili... read more 
Computer Vision and Pattern Recognition

From Part to Whole: 3D Generative World Model with an Adaptive Structural Hierarchy

arXiv Mar 23, 2026
Single-image 3D generation lies at the core of vision-to-graphics models in the real world. However, it remains a fundamental challenge to achieve reliable generalization across diverse semantic categories and highly variable structural complexity un... read more 
Computer Vision and Pattern Recognition

Revisiting Weakly-Supervised Video Scene Graph Generation via Pair Affinity Learning

arXiv Mar 23, 2026
Weakly-supervised video scene graph generation (WS-VSGG) aims to parse video content into structured relational triplets without bounding box annotations and with only sparse temporal labeling, significantly reducing annotation costs. Without ground-... read more 
Computer Vision and Pattern Recognition

Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection

arXiv Mar 23, 2026
Unsupervised Continuous Anomaly Detection (UCAD) is gaining attention for effectively addressing the catastrophic forgetting and heavy computational burden issues in traditional Unsupervised Anomaly Detection (UAD). However, existing UCAD approaches ... read more 
Computer Vision and Pattern Recognition
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