Artificial Intelligence Medical Compendium

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

Showing 2,601 to 2,610 of 202,598 articles

SC-MFJ: A Simple Haptic Quality Metric for Medical Image Segmentation

arXiv Jun 4, 2026
Standard segmentation metrics such as Dice and Hausdorff distance measure geometric overlap but say nothing about whether a segmented surface is suitable for haptic rendering in surgical simulation. We propose SC-MFJ (Surface-Constrained Mean Force J... read more 
Computer Vision and Pattern Recognition cs.GR

Unsupervised Pattern Analysis in Japanese Veterinary Toxicology: A Regulatory-Compliant Framework for Cross-Species Risk Assessment

arXiv Jun 4, 2026
Veterinary pharmacovigilance systems are essential for monitoring adverse drug events (ADEs), yet existing approaches often fail to capture region-specific toxicity patterns shaped by local biological and regulatory contexts. In Japan, these challeng... read more 
Artificial Intelligence cs.LG

Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology

arXiv Jun 4, 2026
Explanations of multiple instance learning (MIL) models are widely used for validation and discovery in digital histopathology. Existing methods primarily rely on heatmaps that highlight influential regions but do not explain how evidence from differ... read more 
Computer Vision and Pattern Recognition cs.LG

SAM-Flow: Source-Anchored Masked Flow for Training-Free Image Editing

arXiv Jun 4, 2026
Training-free image editing has recently attracted increasing attention due to its ability to modify real images using powerful pre-trained diffusion and flow-matching models without additional training. However, existing inversion-based and differen... read more 
Computer Vision and Pattern Recognition

Geodesic Flow Matching on a Riemannian Degradation Manifold for Blind Image Restoration

arXiv Jun 4, 2026
Blind image restoration requires recovering clean images from observations corrupted by unknown and potentially mixed degradations. While recent deterministic flow-based methods model restoration as transport processes that map degraded images to cle... read more 
Computer Vision and Pattern Recognition

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data

arXiv Jun 4, 2026
In healthcare, multimodal time series tasks often operate on incomplete observations in practice, for example when ECG segments are lost because electrodes detach or an entire respiratory channel is unavailable during overnight monitoring. Such missi... read more 
Machine Learning cs.AI

Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis

arXiv Jun 4, 2026
Topological Data Analysis (TDA) offers a principled, intrinsic lens for comparing neural representations. However, existing paired topological divergences (e.g., RTD) are limited by heuristic asymmetry and, more critically, unbounded scores that depe... read more 
Machine Learning cs.LG

Boosting Brain-to-Image Decoding with TRIBE v2 Data Augmentation

arXiv Jun 4, 2026
Brain decoding is limited by the availability of labeled neural data, and remains challenging in low-data regimes. To address this issue, we investigate whether and when brain decoding can be boosted by augmenting small fMRI datasets with synthetic d... read more 
Artificial Intelligence cs.LG q-bio.NC

Comparison of Deep Learning Frameworks For Rice Disease Mapping From UAV Multispectral Imaging

arXiv Jun 4, 2026
In this study, UAV multispectral imagery is used to segment the severity of bacterial leaf blight (BLB) in rice using convolutional neural networks (CNNs) and transformer-based models. The evaluated architectures include U-Net with a ResNet- 101 enco... read more 
Computer Vision and Pattern Recognition

Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them

arXiv Jun 4, 2026
Image-to-Video diffusion models leverage input images to generate visually stunning content, yet frequently produce motion that violates physical laws. We reveal a surprising finding: a 2-step generation often exhibits better physical consistency tha... read more 
Computer Vision and Pattern Recognition
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