Artificial Intelligence Medical Compendium

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

Showing 58,511 to 58,520 of 227,634 articles

Using Shadows in Circular Synthetic Aperture Sonar Imaging for Target Analysis

arXiv Jan 23, 2026
Circular Synthetic Aperture Sonar (CSAS) provides a 360° azimuth view of the seabed, surpassing the limited aperture and mono-view image of conventional side-scan SAS. This makes CSAS a valuable tool for target recognition in mine warfare where the d... read more 
Computer Vision and Pattern Recognition eess.SP

Curated endoscopic retrograde cholangiopancreatography images dataset

arXiv Jan 23, 2026
Endoscopic Retrograde Cholangiopancreatography (ERCP) is a key procedure in the diagnosis and treatment of biliary and pancreatic diseases. Artificial intelligence has been pointed as one solution to automatize diagnosis. However, public ERCP dataset... read more 
Computer Vision and Pattern Recognition cs.AI

REL-SF4PASS: Panoramic Semantic Segmentation with REL Depth Representation and Spherical Fusion

arXiv Jan 23, 2026
As an important and challenging problem in computer vision, Panoramic Semantic Segmentation (PASS) aims to give complete scene perception based on an ultra-wide angle of view. Most PASS methods often focus on spherical geometry with RGB input or usin... read more 
Computer Vision and Pattern Recognition cs.AI

A Novel Transfer Learning Approach for Mental Stability Classification from Voice Signal

arXiv Jan 23, 2026
This study presents a novel transfer learning approach and data augmentation technique for mental stability classification using human voice signals and addresses the challenges associated with limited data availability. Convolutional neural networks... read more 
Sound cs.NE eess.AS

Sample-wise Constrained Learning via a Sequential Penalty Approach with Applications in Image Processing

arXiv Jan 23, 2026
In many learning tasks, certain requirements on the processing of individual data samples should arguably be formalized as strict constraints in the underlying optimization problem, rather than by means of arbitrary penalties. We show that, in these ... read more 
Machine Learning eess.IV math.OC

ColorConceptBench: A Benchmark for Probabilistic Color-Concept Understanding in Text-to-Image Models

arXiv Jan 23, 2026
While text-to-image (T2I) models have advanced considerably, their capability to associate colors with implicit concepts remains underexplored. To address the gap, we introduce ColorConceptBench, a new human-annotated benchmark to systematically eval... read more 
Computer Vision and Pattern Recognition cs.CL

Domain-invariant Mixed-domain Semi-supervised Medical Image Segmentation with Clustered Maximum Mean Discrepancy Alignment

arXiv Jan 23, 2026
Deep learning has shown remarkable progress in medical image semantic segmentation, yet its success heavily depends on large-scale expert annotations and consistent data distributions. In practice, annotations are scarce, and images are collected fro... read more 
Computer Vision and Pattern Recognition

VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents

arXiv Jan 23, 2026
Modern Vision-Language Models (VLMs) remain poorly characterized in multi-step visual interactions, particularly in how they integrate perception, memory, and action over long horizons. We introduce VisGym, a gymnasium of 17 environments for evaluati... read more 
Computer Vision and Pattern Recognition

SyncLight: Controllable and Consistent Multi-View Relighting

arXiv Jan 23, 2026
We present SyncLight, the first method to enable consistent, parametric relighting across multiple uncalibrated views of a static scene. While single-view relighting has advanced significantly, existing generative approaches struggle to maintain the ... read more 
Computer Vision and Pattern Recognition cs.GR

Attention-Based Variational Framework for Joint and Individual Components Learning with Applications in Brain Network Analysis

arXiv Jan 23, 2026
Brain organization is increasingly characterized through multiple imaging modalities, most notably structural connectivity (SC) and functional connectivity (FC). Integrating these inherently distinct yet complementary data sources is essential for un... read more 
Machine Learning cs.CV stat.ML
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