Artificial Intelligence Medical Compendium

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

Showing 51,181 to 51,190 of 225,062 articles

MonoLoss: A Training Objective for Interpretable Monosemantic Representations

arXiv
Sparse autoencoders (SAEs) decompose polysemantic neural representations, where neurons respond to multiple unrelated concepts, into monosemantic features that capture single, interpretable concepts. However, standard training objectives only weakly ... read more 

Reproducing DragDiffusion: Interactive Point-Based Editing with Diffusion Models

arXiv
DragDiffusion is a diffusion-based method for interactive point-based image editing that enables users to manipulate images by directly dragging selected points. The method claims that accurate spatial control can be achieved by optimizing a single d... read more 

Synthetic Image Detection with CLIP: Understanding and Assessing Predictive Cues

arXiv
Recent generative models produce near-photorealistic images, challenging the trustworthiness of photographs. Synthetic image detection (SID) has thus become an important area of research. Prior work has highlighted how synthetic images differ from re... read more 

Thermal Imaging for Contactless Cardiorespiratory and Sudomotor Response Monitoring

arXiv
Thermal infrared imaging captures skin temperature changes driven by autonomic regulation and can potentially provide contactless estimation of electrodermal activity (EDA), heart rate (HR), and breathing rate (BR). While visible-light methods addres... read more 

Predicting Dynamic Map States from Limited Field-of-View Sensor Data

arXiv
When autonomous systems are deployed in real-world scenarios, sensors are often subject to limited field-of-view (FOV) constraints, either naturally through system design, or through unexpected occlusions or sensor failures. In conditions where a lar... read more 

Variational Green's Functions for Volumetric PDEs

arXiv
Green's functions characterize the fundamental solutions of partial differential equations; they are essential for tasks ranging from shape analysis to physical simulation, yet they remain computationally prohibitive to evaluate on arbitrary geometri... read more 

Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement

arXiv
Medical image foundation models (MIFMs) have demonstrated remarkable potential for a wide range of clinical tasks, yet their development is constrained by the scarcity, heterogeneity, and high cost of large-scale annotated datasets. Here, we propose ... read more 

DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing

arXiv
Current unified multimodal models for image generation and editing typically rely on massive parameter scales (e.g., >10B), entailing prohibitive training costs and deployment footprints. In this work, we present DeepGen 1.0, a lightweight 5B unified... read more 

Visible and Hyperspectral Imaging for Quality Assessment of Milk: Property Characterisation and Identification

arXiv
Rapid and non-destructive assessment of milk quality is crucial to ensuring both nutritional value and food safety. In this study, we investigated the potential of visible and hyperspectral imaging as cost-effective and quick-response alternatives to... read more 

A DMD-Based Adaptive Modulation Method for High Dynamic Range Imaging in High-Glare Environments

arXiv
Background The accuracy of photomechanics measurements critically relies on image quality,particularly under extreme illumination conditions such as welding arc monitoring and polished metallic surface analysis. High dynamic range (HDR) imaging above... read more