Artificial Intelligence Medical Compendium

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

Showing 57,861 to 57,870 of 227,388 articles

Discriminability-Driven Spatial-Channel Selection with Gradient Norm for Drone Signal OOD Detection

arXiv Jan 26, 2026
We propose a drone signal out-of-distribution (OOD) detection algorithm based on discriminability-driven spatial-channel selection with a gradient norm. Time-frequency image features are adaptively weighted along both spatial and channel dimensions b... read more 
Machine Learning

A Tumor Aware DenseNet Swin Hybrid Learning with Boosted and Hierarchical Feature Spaces for Large-Scale Brain MRI Classification

arXiv Jan 26, 2026
This study proposes an efficient Densely Swin Hybrid (EDSH) framework for brain tumor MRI analysis, designed to jointly capture fine grained texture patterns and long range contextual dependencies. Two tumor aware experimental setups are introduced t... read more 
Computer Vision and Pattern Recognition cs.LG

PPISP: Physically-Plausible Compensation and Control of Photometric Variations in Radiance Field Reconstruction

arXiv Jan 26, 2026
Multi-view 3D reconstruction methods remain highly sensitive to photometric inconsistencies arising from camera optical characteristics and variations in image signal processing (ISP). Existing mitigation strategies such as per-frame latent variables... read more 
Computer Vision and Pattern Recognition cs.GR

Q-Bench-Portrait: Benchmarking Multimodal Large Language Models on Portrait Image Quality Perception

arXiv Jan 26, 2026
Recent advances in multimodal large language models (MLLMs) have demonstrated impressive performance on existing low-level vision benchmarks, which primarily focus on generic images. However, their capabilities to perceive and assess portrait images,... read more 
Computer Vision and Pattern Recognition

Making medical vision-language models think causally across modalities with retrieval-augmented cross-modal reasoning

arXiv Jan 26, 2026
Medical vision-language models (VLMs) achieve strong performance in diagnostic reporting and image-text alignment, yet their underlying reasoning mechanisms remain fundamentally correlational, exhibiting reliance on superficial statistical associatio... read more 
Machine Learning

OREHAS: A fully automated deep-learning pipeline for volumetric endolymphatic hydrops quantification in MRI

arXiv Jan 26, 2026
We present OREHAS (Optimized Recognition & Evaluation of volumetric Hydrops in the Auditory System), the first fully automatic pipeline for volumetric quantification of endolymphatic hydrops (EH) from routine 3D-SPACE-MRC and 3D-REAL-IR MRI. The syst... read more 
Computer Vision and Pattern Recognition

Estimation of geometric transformation matrices using grid-shaped pilot signals

arXiv Jan 26, 2026
Digital watermarking techniques are essential to prevent unauthorized use of images. Since pirated images are often geometrically distorted by operations such as scaling and cropping, accurate synchronization - detecting the embedding position of the... read more 
Computer Vision and Pattern Recognition

ARMOR: Agentic Reasoning for Methods Orchestration and Reparameterization for Robust Adversarial Attacks

arXiv Jan 26, 2026
Existing automated attack suites operate as static ensembles with fixed sequences, lacking strategic adaptation and semantic awareness. This paper introduces the Agentic Reasoning for Methods Orchestration and Reparameterization (ARMOR) framework to ... read more 
Computer Vision and Pattern Recognition

Efficient Complex-Valued Vision Transformers for MRI Classification Directly from k-Space

arXiv Jan 26, 2026
Deep learning applications in Magnetic Resonance Imaging (MRI) predominantly operate on reconstructed magnitude images, a process that discards phase information and requires computationally expensive transforms. Standard neural network architectures... read more 
Computer Vision and Pattern Recognition

Larger than memory image processing

arXiv Jan 26, 2026
This report addresses larger-than-memory image analysis for petascale datasets such as 1.4 PB electron-microscopy volumes and 150 TB human-organ atlases. We argue that performance is fundamentally I/O-bound. We show that structuring analysis as strea... read more 
Computer Vision and Pattern Recognition
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