Artificial Intelligence Medical Compendium

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

Showing 32,381 to 32,390 of 221,076 articles

Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables

arXiv Apr 13, 2026
Conformal selection (CS) uses calibration data to identify test inputs whose unobserved outcomes are likely to satisfy a pre-specified minimal quality requirement, while controlling the false discovery rate (FDR). Existing methods fix the target FDR ... read more 
Machine Learning cs.IT stat.ML

Any 3D Scene is Worth 1K Tokens: 3D-Grounded Representation for Scene Generation at Scale

arXiv Apr 13, 2026
3D scene generation has long been dominated by 2D multi-view or video diffusion models. This is due not only to the lack of scene-level 3D latent representation, but also to the fact that most scene-level 3D visual data exists in the form of multi-vi... read more 
Computer Vision and Pattern Recognition cs.CG

A Compact and Efficient 1.251 Million Parameter Machine Learning CNN Model PD36-C for Plant Disease Detection: A Case Study

arXiv Apr 13, 2026
Deep learning has markedly advanced image based plant disease diagnosis as improved hardware and dataset quality have enabled increasingly accurate neural network models. This paper presents PD36 C, a compact convolutional neural network (1,250,694 p... read more 
Computer Vision and Pattern Recognition cs.AI

LoGo-MR: Screening Breast MRI for Cancer Risk Prediction by Efficient Omni-Slice Modeling

arXiv Apr 13, 2026
Efficient and explainable breast cancer (BC) risk prediction is critical for large-scale population-based screening. Breast MRI provides functional information for personalized risk assessment. Yet effective modeling remains challenging as fully 3D C... read more 
Computer Vision and Pattern Recognition

What Do Vision-Language Models Encode for Personalized Image Aesthetics Assessment?

arXiv Apr 13, 2026
Personalized image aesthetics assessment (PIAA) is an important research problem with practical real-world applications. While methods based on vision-language models (VLMs) are promising candidates for PIAA, it remains unclear whether they internall... read more 
Computer Vision and Pattern Recognition cs.CL

From Redaction to Restoration: Deep Learning for Medical Image Anonymization and Reconstruction

arXiv Apr 13, 2026
Removing patient-specific information from medical images is crucial to enable sharing and open science without compromising patient identities. However, many methods currently used for deidentification have negative effects on downstream image analy... read more 
Computer Vision and Pattern Recognition cs.AI

ConvFormer3D-TAP: Phase/Uncertainty-Aware Front-End Fusion for Cine CMR View Classification Pipelines

arXiv Apr 13, 2026
Reliable recognition of standard cine cardiac MRI views is essential because each view determines which cardiac anatomy is visualized and which quantitative analyses can be performed. Incorrect view identification, whether by a human reader or an aut... read more 
Computer Vision and Pattern Recognition

GS4City: Hierarchical Semantic Gaussian Splatting via City-Model Priors

arXiv Apr 13, 2026
Recent semantic 3D Gaussian Splatting (3DGS) methods primarily rely on 2D foundation models, often yielding ambiguous boundaries and limited support for structured urban semantics. While city models such as CityGML encode hierarchically organized sem... read more 
Computer Vision and Pattern Recognition

Scene Change Detection with Vision-Language Representation Learning

arXiv Apr 13, 2026
Scene change detection (SCD) is crucial for urban monitoring and navigation but remains challenging in real-world environments due to lighting variations, seasonal shifts, viewpoint differences, and complex urban layouts. Existing methods rely primar... read more 
Computer Vision and Pattern Recognition

Observe Less, Understand More: Cost-aware Cross-scale Observation for Remote Sensing Understanding

arXiv Apr 13, 2026
Remote sensing understanding inherently requires multi-resolution observation, since different targets and application tasks demand different levels of spatial detail. While low-resolution (LR) imagery enables efficient global observation, high-resol... read more 
Computer Vision and Pattern Recognition
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