Artificial Intelligence Medical Compendium

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

Showing 50,831 to 50,840 of 225,062 articles

Insertion Network for Image Sequence Correspondence

arXiv Feb 13, 2026
We propose a novel method for establishing correspondence between two sequences of 2D images. One particular application of this technique is slice-level content navigation, where the goal is to localize specific 2D slices within a 3D volume or deter... read more 
Computer Vision and Pattern Recognition

Layer-Specific Fine-Tuning for Improved Negation Handling in Medical Vision-Language Models

arXiv Feb 13, 2026
Negation is a fundamental linguistic operation in clinical reporting, yet vision-language models (VLMs) frequently fail to distinguish affirmative from negated medical statements. To systematically characterize this limitation, we introduce a radiolo... read more 
Computer Vision and Pattern Recognition

Monocular Reconstruction of Neural Tactile Fields

arXiv Feb 13, 2026
Robots operating in the real world must plan through environments that deform, yield, and reconfigure under contact, requiring interaction-aware 3D representations that extend beyond static geometric occupancy. To address this, we introduce neural ta... read more 
Robotics cs.AI cs.CV

Visual RAG Toolkit: Scaling Multi-Vector Visual Retrieval with Training-Free Pooling and Multi-Stage Search

arXiv Feb 13, 2026
Multi-vector visual retrievers (e.g., ColPali-style late interaction models) deliver strong accuracy, but scale poorly because each page yields thousands of vectors, making indexing and search increasingly expensive. We present Visual RAG Toolkit, a ... read more 
Information Retrieval cs.CV cs.LG

Matching of SAR and optical images based on transformation to shared modality

arXiv Feb 13, 2026
Significant differences in optical images and Synthetic Aperture Radar (SAR) images are caused by fundamental differences in the physical principles underlying their acquisition by Earth remote sensing platforms. These differences make precise image ... read more 
Computer Vision and Pattern Recognition

LiDAR-Anchored Collaborative Distillation for Robust 2D Representations

arXiv Feb 13, 2026
As deep learning continues to advance, self-supervised learning has made considerable strides. It allows 2D image encoders to extract useful features for various downstream tasks, including those related to vision-based systems. Nevertheless, pre-tra... read more 
Computer Vision and Pattern Recognition

Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models

arXiv Feb 13, 2026
Reinforcement learning has emerged as a promising paradigm for aligning diffusion and flow-matching models with human preferences, yet practitioners face fragmented codebases, model-specific implementations, and engineering complexity. We introduce F... read more 
Machine Learning cs.CV

Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference

arXiv Feb 13, 2026
Deep learning models for clinical event prediction on electronic health records (EHR) often suffer performance degradation when deployed under different data distributions. While domain adaptation (DA) methods can mitigate such shifts, its "black-box... read more 
Machine Learning cs.AI

Unbiased Gradient Estimation for Event Binning via Functional Backpropagation

arXiv Feb 13, 2026
Event-based vision encodes dynamic scenes as asynchronous spatio-temporal spikes called events. To leverage conventional image processing pipelines, events are typically binned into frames. However, binning functions are discontinuous, which truncate... read more 
Computer Vision and Pattern Recognition

RelBench v2: A Large-Scale Benchmark and Repository for Relational Data

arXiv Feb 13, 2026
Relational deep learning (RDL) has emerged as a powerful paradigm for learning directly on relational databases by modeling entities and their relationships across multiple interconnected tables. As this paradigm evolves toward larger models and rela... read more 
Machine Learning
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