Artificial Intelligence Medical Compendium

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

Showing 60,071 to 60,080 of 228,014 articles

Resource-Conscious RL Algorithms for Deep Brain Stimulation

arXiv
Deep Brain Stimulation (DBS) has proven to be a promising treatment of Parkinson's Disease (PD). DBS involves stimulating specific regions of the brain's Basal Ganglia (BG) using electric impulses to alleviate symptoms of PD such as tremors, rigidity... read more 

Fusing in 3D: Free-Viewpoint Fusion Rendering with a 3D Infrared-Visible Scene Representation

arXiv
Infrared-visible image fusion aims to integrate infrared and visible information into a single fused image. Existing 2D fusion methods focus on fusing images from fixed camera viewpoints, neglecting a comprehensive understanding of complex scenarios,... read more 

Fusion-Restoration Image Processing Algorithm to Improve the High-Temperature Deformation Measurement

arXiv
In the deformation measurement of high-temperature structures, image degradation caused by thermal radiation and random errors introduced by heat haze restrict the accuracy and effectiveness of deformation measurement. To suppress thermal radiation a... read more 

Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification

arXiv
Efficient brain tumor diagnosis is crucial for early treatment; however, it is challenging because of lesion variability and image complexity. We evaluated convolutional neural networks (CNNs) in a federated learning (FL) setting, comparing models tr... read more 

Near-Light Color Photometric Stereo for mono-Chromaticity non-lambertian surface

arXiv
Color photometric stereo enables single-shot surface reconstruction, extending conventional photometric stereo that requires multiple images of a static scene under varying illumination to dynamic scenarios. However, most existing approaches assume i... read more 

Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images

arXiv
Deep learning for cancer histopathology training conflicts with privacy constraints in clinical settings. Federated Learning (FL) mitigates this by keeping data local; however, its performance depends on hyperparameter choices under non-independent a... read more 

Reorienting off-path Nudged Elastic Bands (RONEB) via Minimum Mode Following

arXiv
Accurate determination of transition states remains central to understanding reaction kinetics. Double-ended methods like the Nudged Elastic Band (NEB) ensure relevant transition states and paths, but incur high computational costs and suffer stagnat... read more 

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno-Associated Viral Vectors.

Biotechnology and bioengineering
Adeno-associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy indust... read more 

Predicting human decision-making across task conditions via individuality transfer.

eLife
Predicting an individual's behavior in one task condition based on their behavior in a different condition is a key challenge in modeling individual decision-making tendencies. We propose a novel framework that addresses this challenge by leveraging ... read more 

Hot air drying on wheat in the intelligence era: research advances, challenges, and future trends.

Critical reviews in food science and nutrition
Wheat is a fundamental food source and drying is an important part of the process to extend storage period of wheat. Hot air drying is widely used in the wheat drying industry due to its simple system and easy operation. However, the timely incorpora... read more