Artificial Intelligence Medical Compendium

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

Showing 62,251 to 62,260 of 230,319 articles

Rethinking Skip Connections: Additive U-Net for Robust and Interpretable Denoising

arXiv Jan 19, 2026
Skip connections are central to U-Net architectures for image denoising, but standard concatenation doubles channel dimensionality and obscures information flow, allowing uncontrolled noise transfer. We propose the Additive U-Net, which replaces conc... read more 
Computer Vision and Pattern Recognition

GTPred: Benchmarking MLLMs for Interpretable Geo-localization and Time-of-capture Prediction

arXiv Jan 19, 2026
Geo-localization aims to infer the geographic location where an image was captured using observable visual evidence. Traditional methods achieve impressive results through large-scale training on massive image corpora. With the emergence of multi-mod... read more 
Computer Vision and Pattern Recognition

Diffusion-Driven Synthetic Tabular Data Generation for Enhanced DoS/DDoS Attack Classification

arXiv Jan 19, 2026
Class imbalance refers to a situation where certain classes in a dataset have significantly fewer samples than oth- ers, leading to biased model performance. Class imbalance in network intrusion detection using Tabular Denoising Diffusion Probability... read more 
Cryptography and Security cs.AI cs.LG

From 100,000+ images to winning the first brain MRI foundation model challenges: Sharing lessons and models

arXiv Jan 19, 2026
Developing Foundation Models for medical image analysis is essential to overcome the unique challenges of radiological tasks. The first challenges of this kind for 3D brain MRI, SSL3D and FOMO25, were held at MICCAI 2025. Our solution ranked first in... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

SolARED: Solar Active Region Emergence Dataset for Machine Learning Aided Predictions

arXiv Jan 19, 2026
The development of accurate forecasts of solar eruptive activity has become increasingly important for preventing potential impacts on space technologies and exploration. Therefore, it is crucial to detect Active Regions (ARs) before they start formi... read more 
Solar and Stellar Astrophysics cs.LG

CLIP-Guided Adaptable Self-Supervised Learning for Human-Centric Visual Tasks

arXiv Jan 19, 2026
Human-centric visual analysis plays a pivotal role in diverse applications, including surveillance, healthcare, and human-computer interaction. With the emergence of large-scale unlabeled human image datasets, there is an increasing need for a genera... read more 
Computer Vision and Pattern Recognition

GaussExplorer: 3D Gaussian Splatting for Embodied Exploration and Reasoning

arXiv Jan 19, 2026
We present GaussExplorer, a framework for embodied exploration and reasoning built on 3D Gaussian Splatting (3DGS). While prior approaches to language-embedded 3DGS have made meaningful progress in aligning simple text queries with Gaussian embedding... read more 
Computer Vision and Pattern Recognition

PhaseMark: A Post-hoc, Optimization-Free Watermarking of AI-generated Images in the Latent Frequency Domain

arXiv Jan 19, 2026
The proliferation of hyper-realistic images from Latent Diffusion Models (LDMs) demands robust watermarking, yet existing post-hoc methods are prohibitively slow due to iterative optimization or inversion processes. We introduce PhaseMark, a single-s... read more 
Computer Vision and Pattern Recognition

A Streamlined Attention-Based Network for Descriptor Extraction

arXiv Jan 19, 2026
We introduce SANDesc, a Streamlined Attention-Based Network for Descriptor extraction that aims to improve on existing architectures for keypoint description. Our descriptor network learns to compute descriptors that improve matching without modify... read more 
Computer Vision and Pattern Recognition

Patient-Conditioned Adaptive Offsets for Reliable Diagnosis across Subgroups

arXiv Jan 19, 2026
AI models for medical diagnosis often exhibit uneven performance across patient populations due to heterogeneity in disease prevalence, imaging appearance, and clinical risk profiles. Existing algorithmic fairness approaches typically seek to reduce ... read more 
Computer Vision and Pattern Recognition
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