Artificial Intelligence Medical Compendium

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

Showing 46,621 to 46,630 of 224,199 articles

MM-NeuroOnco: A Multimodal Benchmark and Instruction Dataset for MRI-Based Brain Tumor Diagnosis

arXiv Feb 26, 2026
Accurate brain tumor diagnosis requires models to not only detect lesions but also generate clinically interpretable reasoning grounded in imaging manifestations, yet existing public datasets remain limited in annotation richness and diagnostic seman... read more 
Computer Vision and Pattern Recognition cs.AI

Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting? A Pilot Study

arXiv Feb 26, 2026
The rapid progress of multimodal large language models (MLLMs) has led to increasing interest in agent-based systems. While most prior work in medical imaging concentrates on automating routine clinical workflows, we study an underexplored yet clinic... read more 
Computer Vision and Pattern Recognition

An automatic counting algorithm for the quantification and uncertainty analysis of the number of microglial cells trainable in small and heterogeneous datasets

arXiv Feb 26, 2026
Counting immunopositive cells on biological tissues generally requires either manual annotation or (when available) automatic rough systems, for scanning signal surface and intensity in whole slide imaging. In this work, we tackle the problem of coun... read more 
Computational Engineering, Finance, and Science cs.CV eess.IV eess.SP stat.ML

RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs

arXiv Feb 26, 2026
Decoding brain activity from electroencephalography (EEG) is crucial for neuroscience and clinical applications. Among recent advances in deep learning for EEG, geometric learning stands out as its theoretical underpinnings on symmetric positive defi... read more 
Artificial Intelligence

A Perspective on Open Challenges in Deformable Object Manipulation

arXiv Feb 26, 2026
Deformable object manipulation (DOM) represents a critical challenge in robotics, with applications spanning healthcare, manufacturing, food processing, and beyond. Unlike rigid objects, deformable objects exhibit infinite dimensionality, dynamic sha... read more 
Robotics

SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling

arXiv Feb 26, 2026
Detecting visual anomalies in industrial inspection often requires training with only a few normal images per category. Recent few-shot methods achieve strong results employing foundation-model features, but typically rely on memory banks, auxiliary ... read more 
Computer Vision and Pattern Recognition cs.LG

DMAligner: Enhancing Image Alignment via Diffusion Model Based View Synthesis

arXiv Feb 26, 2026
Image alignment is a fundamental task in computer vision with broad applications. Existing methods predominantly employ optical flow-based image warping. However, this technique is susceptible to common challenges such as occlusions and illumination ... read more 
Computer Vision and Pattern Recognition

Fairness in Limited Resources Settings

arXiv Feb 26, 2026
In recent years many important societal decisions are made by machine-learning algorithms, and many such important decisions have strict capacity limits, allowing resources to be allocated only to the highest utility individuals. For example, allocat... read more 
Computers and Society

WISER: Wider Search, Deeper Thinking, and Adaptive Fusion for Training-Free Zero-Shot Composed Image Retrieval

arXiv Feb 26, 2026
Zero-Shot Composed Image Retrieval (ZS-CIR) aims to retrieve target images given a multimodal query (comprising a reference image and a modification text), without training on annotated triplets. Existing methods typically convert the multimodal quer... read more 
Computer Vision and Pattern Recognition

Small Object Detection Model with Spatial Laplacian Pyramid Attention and Multi-Scale Features Enhancement in Aerial Images

arXiv Feb 26, 2026
Detecting objects in aerial images confronts some significant challenges, including small size, dense and non-uniform distribution of objects over high-resolution images, which makes detection inefficient. Thus, in this paper, we proposed a small obj... read more 
Computer Vision and Pattern Recognition
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