Artificial Intelligence Medical Compendium

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

Showing 45,881 to 45,890 of 224,055 articles

You Only Need One Stage: Novel-View Synthesis From A Single Blind Face Image

arXiv
We propose a novel one-stage method, NVB-Face, for generating consistent Novel-View images directly from a single Blind Face image. Existing approaches to novel-view synthesis for objects or faces typically require a high-resolution RGB image as inpu... read more 

Neural Discrimination-Prompted Transformers for Efficient UHD Image Restoration and Enhancement

arXiv
We propose a simple yet effective UHDPromer, a neural discrimination-prompted Transformer, for Ultra-High-Definition (UHD) image restoration and enhancement. Our UHDPromer is inspired by an interesting observation that there implicitly exist neural d... read more 

GeMi: A Graph-based, Multimodal Recommendation System for Narrative Scroll Paintings

arXiv
Recommendation Systems are effective in managing the ever-increasing amount of multimodal data available today and help users discover interesting new items. These systems can handle various media types such as images, text, audio, and video data, an... read more 

MMTA: Multi Membership Temporal Attention for Fine-Grained Stroke Rehabilitation Assessment

arXiv
To empower the iterative assessments involved during a person's rehabilitation, automated assessment of a person's abilities during daily activities requires temporally precise segmentation of fine-grained actions in therapy videos. Existing temporal... read more 

Uncertainty-Aware Concept and Motion Segmentation for Semi-Supervised Angiography Videos

arXiv
Segmentation of the main coronary artery from X-ray coronary angiography (XCA) sequences is crucial for the diagnosis of coronary artery diseases. However, this task is challenging due to issues such as blurred boundaries, inconsistent radiation cont... read more 

Solving a Nonlinear Blind Inverse Problem for Tagged MRI with Physics and Deep Generative Priors

arXiv
Tagged MRI enables tracking internal tissue motion non-invasively. It encodes motion by modulating anatomy with periodic tags, which deform along with tissue. However, the entanglement between anatomy, tags and motion poses significant challenges for... read more 

VEMamba: Efficient Isotropic Reconstruction of Volume Electron Microscopy with Axial-Lateral Consistent Mamba

arXiv
Volume Electron Microscopy (VEM) is crucial for 3D tissue imaging but often produces anisotropic data with poor axial resolution, hindering visualization and downstream analysis. Existing methods for isotropic reconstruction often suffer from neglect... read more 

pySpatial: Generating 3D Visual Programs for Zero-Shot Spatial Reasoning

arXiv
Multi-modal Large Language Models (MLLMs) have demonstrated strong capabilities in general-purpose perception and reasoning, but they still struggle with tasks that require spatial understanding of the 3D world. To address this, we introduce pySpatia... read more 

ShiftLUT: Spatial Shift Enhanced Look-Up Tables for Efficient Image Restoration

arXiv
Look-Up Table based methods have emerged as a promising direction for efficient image restoration tasks. Recent LUT-based methods focus on improving their performance by expanding the receptive field. However, they inevitably introduce extra computat... read more 

Quantitative CT and Artificial Intelligence in Chronic Lung Disease.

Journal of thoracic imaging
Computed tomography (CT) is routinely used in diagnosing and managing patients with chronic lung diseases such as chronic obstructive pulmonary disease (COPD) and fibrosing interstitial lung disease (ILD). Visual assessment of disease morphology/phen... read more