AIMC Topic: Humans

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Reliable object tracking by multimodal hybrid feature extraction and transformer-based fusion.

Neural networks : the official journal of the International Neural Network Society
Visual object tracking, which is primarily based on visible light image sequences, encounters numerous challenges in complicated scenarios, such as low light conditions, high dynamic ranges, and background clutter. To address these challenges, incorp...

Medical image registration via neural fields.

Medical image analysis
Image registration is an essential step in many medical image analysis tasks. Traditional methods for image registration are primarily optimization-driven, finding the optimal deformations that maximize the similarity between two images. Recent learn...

Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography.

Medical image analysis
Deep learning classification models for medical image analysis often perform well on data from scanners that were used to acquire the training data. However, when these models are applied to data from different vendors, their performance tends to dro...

Rise of the Machines: The Prevalence and Disclosure of Artificial Intelligence-Generated Text in High-Impact Orthopaedic Journals.

The Journal of the American Academy of Orthopaedic Surgeons
INTRODUCTION: While most orthopaedic journals permit the use of artificial intelligence (AI) in article development, they require that AI not be listed as an author, that authors take full responsibility for its accuracy, and that AI use be disclosed...

Preoperative CT-based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors.

Medical physics
BACKGROUND: Gastrointestinal stromal tumors (GISTs) are clinically heterogeneous with various malignant potential in different individuals. It is crucial to explore a reliable method for preoperative risk stratification of gastric GISTs noninvasively...

MyoFInDer: An AI-Based Tool for Myotube Fusion Index Determination.

Tissue engineering. Part A
The fusion index is a key indicator for quantifying the differentiation of a myoblast population, which is often calculated manually. In addition to being time-consuming, manual quantification is also error prone and subjective. Several software tool...

Eye-tracker and fNIRS: Using neuroscientific tools to assess the learning experience during children's educational robotics activities.

Trends in neuroscience and education
In technology education, there has been a paradigmatic shift towards student-centered approaches such as learning by doing, constructionism, and experiential learning. Educational robotics allows students to experiment with building and interacting w...

Machine learning for the advancement of genome-scale metabolic modeling.

Biotechnology advances
Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the interrelations between genotype, phenotype, and external environment. The recent advancement of high-throughput experimental approaches and multi-omics strategies...