Artificial Intelligence Medical Compendium

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

Showing 10,731 to 10,740 of 209,601 articles

Chaos-SSL: An Attention-Based Self-Supervised Learning Framework with Chaotic Transformation for Medical Image Classification

arXiv May 26, 2026
Self-Supervised Learning (SSL) has emerged as a powerful paradigm to mitigate the reliance on large, annotated datasets, a common bottleneck in medical image analysis. However, standard SSL methods, which rely on simple geometric and color augmentati... read more 
Computer Vision and Pattern Recognition

Semantic Robustness Probing via Inpainting: An Interactive Tool for Safety-Critical Object Detection

arXiv May 26, 2026
Testing object detectors in safety-critical domains requires semantically meaningful probes beyond pixel-level corruptions. We present SemProbe, a tool for semantic robustness probing: users upload deployment images, create masks manually or automati... read more 
Computer Vision and Pattern Recognition cs.AI

Beyond Binary: Speech Representations Across the Cognitive Score Hierarchy

arXiv May 26, 2026
This study examines the relationship between speech representations and the hierarchical structure of cognitive assessment in mild cognitive impairment. Utilizing 5,754 German neuropsychological assessment recordings, we evaluate six cognitive tasks ... read more 
Computation and Language cs.LG cs.SD eess.AS q-bio.NC

Not All Tokens Matter Equally: Dynamic In-context Vector Distillation with Decisive-Token Supervision for Long-form Medical Report Generation

arXiv May 26, 2026
Distilling demonstration effects into hidden-space interventions offers a lightweight alternative to full finetuning. However, existing multimodal variants are mostly evaluated on short-form tasks, where outputs end after a few tokens. Extending thes... read more 
Computation and Language cs.CV cs.LG

Nonlinear Data Integration via Kernel Methods for Data Collaboration Analysis

arXiv May 26, 2026
Collaborative analysis of decentralized confidential datasets is important, but direct sharing of original datasets is often restricted by privacy and institutional constraints. Data collaboration (DC) analysis transforms each dataset into privacy-pr... read more 
Machine Learning stat.ML

MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale

arXiv May 26, 2026
Layered image generation and editing is a fundamental capability that enables layer-wise reuse, editing, and composition of generated visual content, analogous to word-level editing in natural language. Despite its importance, this remains an underex... read more 
Computer Vision and Pattern Recognition

Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening

arXiv May 26, 2026
Continuous and global detection of large methane emissions is a crucial step for global warming mitigation. Satellite observations, such as from S5P/TROPOMI, combined with plume detection algorithms, can play a key role in this effort. However, not a... read more 
Machine Learning physics.ao-ph

Can Retrieval Heads See Images? Multimodal Retrieval Heads in Long-Context Vision-Language Models

arXiv May 26, 2026
Large vision-language models increasingly rely on long-context modeling to reason over documents, hour-level videos, and long-horizon agent trajectories, requiring them to locate relevant evidence across interleaved text and images. Prior work has st... read more 
Computer Vision and Pattern Recognition

A Dynamic Programming Framework for Discovering Count and Values of Multilevel Image Thresholding

arXiv May 26, 2026
Multilevel Image thresholding is an important preprocessing algorithm in computer vision applications nowadays. Since most common thresholding methods take the desired count of thresholds as input by the user, thresholding methods that automatically ... read more 
Computer Vision and Pattern Recognition

Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini

arXiv May 26, 2026
We introduce Gemini Embedding 2, a native multimodal embedding model that allows embedding video, audio, image, and text modalities in a unified representation space. We leverage the multimodal capabilities of Gemini to produce embeddings for arbitra... read more 
Computer Vision and Pattern Recognition
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