Work Force

Reservoir parameters prediction based on spatially transferred long short-term memory network.

Reservoir reconstruction, where parameter prediction plays a key role, constitutes an extremely impo...

DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training.

Effect of Light-Emitting Grid Panel on Indoor Aquaculture for Measuring Fish Growth.

This study is related to Smart Aqua Farm, which combines artificial intelligence (AI) and Internet o...

Conception and prospective multicentric validation of a Robotic Surgery Training Curriculum (RoSTraC) for surgical residents: from simulation via laboratory training to integration into the operation room.

There is a lack of training curricula and educational concepts for robotic-assisted surgery (RAS). I...

Current practice and unmet training needs in robotic-assisted radical prostatectomy: investigation from the Junior ERUS/YAU working group.

PURPOSE: To access the current scenario of robotic-assisted radical prostatectomy training in multip...

Use of a Perfused Cadaver for Training of Robotic Pancreaticoduodenectomy Allows for Realistic Tissue Dissection and Management of Intra-Operative Bleeding.

[Development of prognostic clinical and genetic models of the risk of low bone mineral density using neural network training].

BACKGROUND: Osteoporosis is a common age-related disease with disabling consequences, the early diag...

Annotated dataset for training deep learning models to detect astrocytes in human brain tissue.

Astrocytes, a type of glial cell, significantly influence neuronal function, with variations in morp...

Exploring the Performance of an Artificial Intelligence-Based Load Sensor for Total Knee Replacements.

Using tibial sensors in total knee replacements (TKRs) can enhance patient outcomes and reduce early...

Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.

Bias in neural network model training datasets has been observed to decrease prediction accuracy for...

Self-Balancing Exoskeleton Robots Designed to Facilitate Multiple Rehabilitation Training Movements.

This study presents the biomimetic design of the structure and controller of AutoLEE-II, a self-bala...

Compositional diversity in visual concept learning.

Humans leverage compositionality to efficiently learn new concepts, understanding how familiar parts...

Machine Ethics in Care: Could a Moral Avatar Enhance the Autonomy of Care-Dependent Persons?

It is a common view that artificial systems could play an important role in dealing with the shortag...

Deep learning-based video-analysis of instrument motion in microvascular anastomosis training.

PURPOSE: Attaining sufficient microsurgical skills is paramount for neurosurgical trainees. Kinemati...

Uncovering the Neural Mechanisms of Inter-Hemispheric Balance Restoration in Chronic Stroke Through EMG-Driven Robot Hand Training: Insights From Dynamic Causal Modeling.

EMG-driven robot hand training can facilitate motor recovery in chronic stroke patients by restoring...

ProkBERT family: genomic language models for microbiome applications.

BACKGROUND: In the evolving landscape of microbiology and microbiome analysis, the integration of ma...

Bridging the Skills Gap: Evaluating an AI-Assisted Provider Platform to Support Care Providers with Empathetic Delivery of Protocolized Therapy.

Despite the high prevalence and burden of mental health conditions, there is a global shortage of me...

Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics.

Deep learning continues to rapidly evolve and is now demonstrating remarkable potential for numerous...

Inter-fractional portability of deep learning models for lung target tracking on cine imaging acquired in MRI-guided radiotherapy.

MRI-guided radiotherapy systems enable beam gating by tracking the target on planar, two-dimensional...

Perturbation diversity certificates robust generalization.

Whilst adversarial training has been proven to be one most effective defending method against advers...

The sex effect on balance control while standing on vestibular-demanding tasks with/without vestibular simulations: implication for sensorimotor training for future space missions.

Anatomical differences between sexes in the vestibular system have been reported. It has also been ...