Artificial Intelligence Medical Compendium

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

Showing 131 to 140 of 212,780 articles

Weakly Supervised Pathology-Informed Representation Learning for PET-Based Content Retrieval of Intra-Tumour Heterogeneity

arXiv Jul 21, 2026
We propose a weakly supervised 18FFDG PET representation-learning framework for content based medical image retrieval, using H&E derived information during training while preserving PET-only inference. The proposed method was designed to use H&E deri... read more 
Computer Vision and Pattern Recognition

Posterior Samplings are Missing Modalities Generators for Medical Image Translation

arXiv Jul 21, 2026
Magnetic resonance imaging comes in various modality contrasts that provide complementary anatomical and pathological information. Complete multimodal acquisitions are often unavailable due to time and protocol constraints. This leads to real-world d... read more 
Computer Vision and Pattern Recognition

Bounding Boxes to Improve Small Language Model Performance on Vision-Based Grading Tasks

arXiv Jul 21, 2026
The deployment of Small Language Models (SLMs) in educational settings offers significant advantages in terms of privacy, cost, and scalability. However, SLMs often struggle with complex vision-based tasks, such as grading handwritten student exams, ... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

GLID: Gated Local Intrinsic Dimension Repairs the Blind Spots of Face-Forgery Detectors

arXiv Jul 21, 2026
Fine-tuned foundation-model detectors dominate face-forgery benchmarks, yet they stay blind to generator families absent from training. We present GLID, a detector that repairs this blind spot with geometry instead of data. GLID treats the patch toke... read more 
Cryptography and Security cs.CV

Privileged Lesion-Context Relational Distillation for Mask-Free Skin Lesion Classification

arXiv Jul 21, 2026
Accurate skin lesion classification can benefit from lesion segmentation masks, but requiring masks or an auxiliary segmentation model during inference reduces clinical practicality and increases computational complexity. This work introduces Privile... read more 
Computer Vision and Pattern Recognition

Image Editing Models are Numerical Solvers

arXiv Jul 21, 2026
We investigate whether a pretrained generative image-editing model can provide a common interface for numerical simulation. Physical inputs and solutions are rendered as images, while scalar quantities such as material properties, diffusivity, and lo... read more 
Computer Vision and Pattern Recognition

STS-NET: Spatio-Temporal Stress Network for Self-Supervised Crop Stress Detection using Satellite Image Time Series

arXiv Jul 21, 2026
Early and accurate detection of crop stress is essential to improve agricultural productivity and ensure global food security. However, collecting a large labeled crop stress dataset is a challenging task. To address this challenge, we introduce a no... read more 
Computer Vision and Pattern Recognition

UVFaceFusion: Fast Multi-view Topologically Consistent Face Reconstruction in the Wild via UV-space Neural Fusion

arXiv Jul 21, 2026
Reconstructing high-fidelity facial geometry with an assigned topology is essential for digital avatar creation and animation, yet existing automated methods often trade off geometric fidelity and in-the-wild generalization. We present UVFaceFusion, ... read more 
Computer Vision and Pattern Recognition cs.GR

In-Context Learning for Wound Classification with Small Multimodal Language Models

arXiv Jul 21, 2026
Wound image classification is often treated as a task-specific supervised learning problem, requiring substantial amounts of manually labelled data and retraining when the label space or deployment setting changes. This study evaluated whether small ... read more 
Computer Vision and Pattern Recognition

OPD-IAD: From Language Judgment to Industrial Anomaly Detection via On-Policy Self-Distillation

arXiv Jul 21, 2026
Large vision-language models (LVLMs) have recently shown strong potential for industrial anomaly detection (IAD) by providing image-level anomaly judgments and interpretable defect reasoning. However, current LVLM-based IAD methods still struggle to ... read more 
Computer Vision and Pattern Recognition cs.AI
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