Artificial Intelligence Medical Compendium

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

Showing 39,751 to 39,760 of 223,737 articles

JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization

arXiv Mar 22, 2026
Text-to-image (T2I) models such as Stable Diffusion and DALLE remain susceptible to generating harmful or Not-Safe-For-Work (NSFW) content under jailbreak attacks despite deployed safety filters. Existing jailbreak attacks either rely on proxy-loss o... read more 
Computer Vision and Pattern Recognition cs.LG

Positional Segmentor-Guided Counterfactual Fine-Tuning for Spatially Localized Image Synthesis

arXiv Mar 22, 2026
Counterfactual image generation enables controlled data augmentation, bias mitigation, and disease modeling. However, existing methods guided by external classifiers or regressors are limited to subject-level factors (e.g., age) and fail to produce l... read more 
Computer Vision and Pattern Recognition cs.AI

A Large-Scale Remote Sensing Dataset and VLM-based Algorithm for Fine-Grained Road Hierarchy Classification

arXiv Mar 22, 2026
In this work, we present SYSU-HiRoads, a large-scale hierarchical road dataset, and RoadReasoner, a vision-language-geometry framework for automatic multi-grade road mapping from remote sensing imagery. SYSU-HiRoads is built from GF-2 imagery coverin... read more 
Computer Vision and Pattern Recognition

Plant Taxonomy Meets Plant Counting: A Fine-Grained, Taxonomic Dataset for Counting Hundreds of Plant Species

arXiv Mar 22, 2026
Visually cataloging and quantifying the natural world requires pushing the boundaries of both detailed visual classification and counting at scale. Despite significant progress, particularly in crowd and traffic analysis, the fine-grained, taxonomy-a... read more 
Computer Vision and Pattern Recognition

DepthTCM: High Efficient Depth Compression via Physics-aware Transformer-CNN Mixed Architecture

arXiv Mar 22, 2026
We propose DepthTCM, a physics-aware end-to-end framework for depth map compression. In our framework of DepthTCM, the high-bit depth map is first converted to a conventional 3-channel image representation losslessly using a method inspired by a phys... read more 
Computer Vision and Pattern Recognition

Enhancing Brain Tumor Classification Using Vision Transformers with Colormap-Based Feature Representation on BRISC2025 Dataset

arXiv Mar 22, 2026
Accurate classification of brain tumors from magnetic resonance imaging (MRI) plays a critical role in early diagnosis and effective treatment planning. In this study, we propose a deep learning framework based on Vision Transformers (ViT) enhanced w... read more 
Computer Vision and Pattern Recognition

Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data

arXiv Mar 22, 2026
Nonrigid registration is conventionally divided into point set registration, which aligns sparse geometries, and image registration, which aligns continuous intensity fields on regular grids. However, this dichotomy creates a critical bottleneck for ... read more 
Machine Learning cs.AI cs.CV

Does Mechanistic Interpretability Transfer Across Data Modalities? A Cross-Domain Causal Circuit Analysis of Variational Autoencoders

arXiv Mar 22, 2026
Although mechanism-based interpretability has generated an abundance of insight for discriminative network analysis, generative models are less understood -- particularly outside of image-related applications. We investigate how much of the causal ci... read more 
Machine Learning

CornOrb: A Multimodal Dataset of Orbscan Corneal Topography and Clinical Annotations for Keratoconus Detection

arXiv Mar 22, 2026
In this paper, we present CornOrb, a publicly accessible multimodal dataset of Orbscan corneal topography images and clinical annotations collected from patients in Algeria. The dataset comprises 1,454 eyes from 744 patients, including 889 normal eye... read more 
Computer Vision and Pattern Recognition cs.DB

Accelerate Vector Diffusion Maps by Landmarks

arXiv Mar 22, 2026
We propose a landmark-constrained algorithm, LA-VDM (Landmark Accelerated Vector Diffusion Maps), to accelerate the Vector Diffusion Maps (VDM) framework built upon the Graph Connection Laplacian (GCL), which captures pairwise connection relationship... read more 
Machine Learning cs.LG math.DG physics.data-an
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