Engineering & Materials Science
Deep learning
100%
Optical tomography
64%
Medical problems
34%
Proteins
32%
Machine learning
23%
Electrocardiography
23%
Image quality
21%
Monitoring
20%
Convolutional neural networks
20%
Epinephrine
20%
Staphylococcus aureus
18%
Antibiotics
16%
Fatigue of materials
16%
Bioactivity
15%
Intensive care units
15%
Capillarity
15%
Artificial intelligence
15%
Angiography
15%
Cells
15%
Escherichia coli
14%
Wearable sensors
14%
Electromyography
14%
Internet of things
13%
Imaging techniques
13%
Problem-Based Learning
13%
Image acquisition
13%
Neural networks
13%
Data fusion
12%
Image classification
12%
Developing countries
12%
Fluids
12%
Digital signal processing
12%
Deep neural networks
11%
Pressure distribution
11%
Tomography
11%
Patient rehabilitation
11%
Biomarkers
10%
Pattern recognition
10%
Internet
10%
Ophthalmology
10%
Time series
10%
Education
9%
Computer vision
9%
Random forests
9%
Uncertainty
8%
Biomedical equipment
8%
Color
8%
Lead
7%
Catecholamines
7%
Sensors
7%
Mathematics
Learning
51%
Image Quality
37%
Model
25%
Protein
24%
Hybrid Learning
24%
Image Quality Assessment
24%
Optical Coherence Tomography
22%
Electromyography
21%
Person
20%
Monitoring
20%
Prediction
19%
Machine Learning
19%
Data Fusion
18%
Antibiotics
17%
Neural Networks
16%
Escherichia Coli
16%
Learning Process
16%
Uncertainty Quantification
15%
Segmentation
14%
Image Acquisition
14%
Computer Vision
13%
Enhancement
13%
Binary Classification
13%
Pose Estimation
13%
Resistance
12%
Protein Sequence
12%
Cancer
12%
Specificity
11%
Gaussian Process
11%
Complications
11%
Evaluation
11%
Predictors
10%
Human
10%
Camera
9%
Diabetes Mellitus
9%
Developing Countries
9%
Fluid
9%
Disorder
8%
Cell
8%
Random Forest
8%
Fingerprint
8%
Artificial Intelligence
8%
Annotation
8%
Movement
7%
Shortage
7%
Class
7%
Health Monitoring
7%
Support Vector Machine
7%
Computational Model
6%
Gaussian Model
6%
Medicine & Life Sciences
Deep Learning
48%
Optical Coherence Tomography
23%
Retinal Diseases
21%
Internet of Things
21%
Fatigue
19%
Electrocardiography
19%
Machine Learning
17%
Macular Edema
16%
Problem-Based Learning
15%
Albuterol
14%
Pandemics
12%
Exercise
11%
Glaucoma
11%
Epinephrine
10%
Datasets
10%
Type 1 Diabetes Mellitus
10%
Intensive Care Units
9%
Color
9%
Rehabilitation
9%
Artificial Intelligence
7%
Education
7%
Coronavirus
7%
Macular Degeneration
7%
Lead
7%
Biomedical Engineering
6%
Myocardium
6%
Physiologic Monitoring
6%
Area Under Curve
6%
Teaching
6%
Retinal Vein Occlusion
6%
Endocardium
5%
