Artificial Intelligence Medical Compendium

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

Showing 491 to 500 of 213,137 articles

Dual-Edged Homogeneous-Modality Similarity: Towards Visible-Infrared Modality-Incomplete Person Re-Identification with Modality Adaptive Matching

arXiv Jul 21, 2026
Visible-Infrared Person Re-Identification (VI-ReID) operates under a closed-world assumption, where queries and galleries are from heterogeneous modalities. However, in open-world scenarios, both sets are likely to contain homogeneous and heterogeneo... read more 
Computer Vision and Pattern Recognition

Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models

arXiv Jul 21, 2026
A popular route to interpretable zero-shot classification asks a large language model (LLM) to describe each class name and prompts CLIP with the resulting descriptors. We show that these descriptors carry little visual evidence of their own: removin... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG eess.IV

Contraction-Gauge Preconditioning for Quantized Matrix Multiplication

arXiv Jul 21, 2026
We study low-precision computation of C=AB with both factors quantized. We derive an exact finite-dimensional identity for the expected squared product error under independent, zero-mean entrywise errors with known variance fields; it holds exactly f... read more 
Machine Learning cs.IT math.NA

SkyEV: RGB-Event UAV detection and tracking dataset and baseline

arXiv Jul 21, 2026
Detecting UAVs in air spaces has become increasingly important due to UAVs widespread availability and easy usage. However, due to their small size, they are typically difficult to detect at a sufficient range. For the training of optimized detection... read more 
Computer Vision and Pattern Recognition

ConceptCF: Concept-based Counterfactuals for the Explainability of Time Series

arXiv Jul 21, 2026
This paper proposes ConceptCF, a method for counterfactual generation that operates on human-interpretable concepts. In high-stakes domains such as healthcare and predictive maintenance, artificial intelligence models can increase efficiency and safe... read more 
Machine Learning cs.AI

Decafs: Disentangled Conditional adversarial Flows

arXiv Jul 21, 2026
Flow-based models have established state-of-the-art performance in generative modeling across domains, but are hard to interpret due to their complex latent embeddings. In particular, the entanglement of generative factors in the latent space hinders... read more 
Machine Learning

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
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