Artificial Intelligence Medical Compendium

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

Showing 45,151 to 45,160 of 224,055 articles

Any Resolution Any Geometry: From Multi-View To Multi-Patch

arXiv
Joint estimation of surface normals and depth is essential for holistic 3D scene understanding, yet high-resolution prediction remains difficult due to the trade-off between preserving fine local detail and maintaining global consistency. To address ... read more 

BRIGHT: A Collaborative Generalist-Specialist Foundation Model for Breast Pathology

arXiv
Generalist pathology foundation models (PFMs), pretrained on large-scale multi-organ datasets, have demonstrated remarkable predictive capabilities across diverse clinical applications. However, their proficiency on the full spectrum of clinically es... read more 

IoUCert: Robustness Verification for Anchor-based Object Detectors

arXiv
While formal robustness verification has seen significant success in image classification, scaling these guarantees to object detection remains notoriously difficult due to complex non-linear coordinate transformations and Intersection-over-Union (Io... read more 

TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning

arXiv
Large language models (LLMs) are increasingly used to assist scientists across diverse workflows. A key challenge is generating high-quality figures from textual descriptions, often represented as TikZ programs that can be rendered as scientific imag... read more 

MoECLIP: Patch-Specialized Experts for Zero-shot Anomaly Detection

arXiv
The CLIP model's outstanding generalization has driven recent success in Zero-Shot Anomaly Detection (ZSAD) for detecting anomalies in unseen categories. The core challenge in ZSAD is to specialize the model for anomaly detection tasks while preservi... read more 

MoECLIP: Patch-Specialized Experts for Zero-shot Anomaly Detection

arXiv
The CLIP model's outstanding generalization has driven recent success in Zero-Shot Anomaly Detection (ZSAD) for detecting anomalies in unseen categories. The core challenge in ZSAD is to specialize the model for anomaly detection tasks while preservi... read more 

AWDiff: An a trous wavelet diffusion model for lung ultrasound image synthesis

arXiv
Lung ultrasound (LUS) is a safe and portable imaging modality, but the scarcity of data limits the development of machine learning methods for image interpretation and disease monitoring. Existing generative augmentation methods, such as Generative A... read more 

Geometry-Guided Reinforcement Learning for Multi-view Consistent 3D Scene Editing

arXiv
Leveraging the priors of 2D diffusion models for 3D editing has emerged as a promising paradigm. However, maintaining multi-view consistency in edited results remains challenging, and the extreme scarcity of 3D-consistent editing paired data renders ... read more 

Kling-MotionControl Technical Report

arXiv
Character animation aims to generate lifelike videos by transferring motion dynamics from a driving video to a reference image. Recent strides in generative models have paved the way for high-fidelity character animation. In this work, we present Kli... read more 

Conditioned Activation Transport for T2I Safety Steering

arXiv
Despite their impressive capabilities, current Text-to-Image (T2I) models remain prone to generating unsafe and toxic content. While activation steering offers a promising inference-time intervention, we observe that linear activation steering freque... read more