Staffing & Scheduling

Predicting Kováts Retention Indices Using Graph Neural Networks.

The Kováts retention index is a dimensionless quantity that characterizes the rate at which a compou...

Artificial neural networks for positioning of gamma interactions in monolithic PET detectors.

To detect gamma rays with good spatial, timing and energy resolution while maintaining high sensitiv...

Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization.

Over the last decade there has been an extensive evolution in the Artificial Intelligence (AI) field...

State of the art in parallel ankle rehabilitation robot: a systematic review.

BACKGROUND: The ankle joint complex (AJC) is of fundamental importance for balance, support, and pro...

Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design.

Microbial rhodopsins are photoreceptive membrane proteins, which are used as molecular tools in opto...

Optimization on Medical Material Distribution Management System Based on Artificial Intelligence Robot.

The traditional medical material distribution management system method lacks systematic analysis and...

Deep Learning Classification of Systemic Sclerosis Skin Using the MobileNetV2 Model.

Systemic sclerosis (SSc) is a rare autoimmune, systemic disease with prominent fibrosis of skin and...

Cycle consistent network for end-to-end style transfer TTS training.

In this paper, we propose a cycle consistent network based end-to-end TTS for speaking style transfe...

Overground Robot-Assisted Gait Training for Pediatric Cerebral Palsy.

The untethered exoskeletal robot provides patients with the freest and realistic walking experience ...

Footballer Action Tracking and Intervention Using Deep Learning Algorithm.

Fédération Internationale de Football Association is the governing body of the football world cup. T...

Training artificial neural networks for precision orientation and strain mapping using 4D electron diffraction datasets.

Techniques for training artificial neural networks (ANNs) and convolutional neural networks (CNNs) u...

Review of Artificial Intelligence Training Tools and Courses for Radiologists.

Artificial intelligence (AI) systems play an increasingly important role in all parts of the imaging...

Prediction of tau accumulation in prodromal Alzheimer's disease using an ensemble machine learning approach.

We developed machine learning (ML) algorithms to predict abnormal tau accumulation among patients wi...

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides.

Feature vectors provided by pre-trained deep artificial neural networks have become a dominant sourc...

What Should Radiology Residency and Fellowship Training in Artificial Intelligence Include? A Trainee's Perspective- In Training.

Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild.

Performance of blind image quality assessment (BIQA) models has been significantly boosted by end-to...

Dog galloping on rough terrain exhibits similar limb co-ordination patterns and gait variability to that on flat terrain.

Understanding how animals regulate their gait during locomotion can give biological insight and insp...

A robot-aided visuomotor wrist training induces gains in proprioceptive and movement accuracy in the contralateral wrist.

Proprioceptive training is a neurorehabilitation approach known to improve proprioceptive acuity and...

Hands-on training about overfitting.

Overfitting is one of the critical problems in developing models by machine learning. With machine l...

DeepMIB: User-friendly and open-source software for training of deep learning network for biological image segmentation.

We present DeepMIB, a new software package that is capable of training convolutional neural networks...

Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation.

Class imbalance poses a challenge for developing unbiased, accurate predictive models. In particular...