Computer Science
Deep Learning Method
100%
Anomaly Detection
50%
Interpretability
50%
Language Modeling
50%
Motion Estimation
33%
Motion Model
33%
Rigid Motion
29%
Disease Patient
25%
Generalizability
20%
Image Quality
18%
Systematic Error
16%
Speed-up
16%
Learning Framework
12%
Reference Image
12%
Volumetric Dataset
12%
Textual Information
10%
Visual Question Answering
10%
Unsupervised Anomaly Detection
10%
Inference Model
10%
Visual Informations
10%
Multiple Condition
10%
Medical Imaging
10%
Closed Question
10%
Medical Condition
10%
Quality Measure
6%
de-noising
6%
Rigid Motion Estimation
6%
Regularization
6%
Imaging Modality
6%
Medicine and Dentistry
Magnetic Resonance Imaging
50%
Persistent Truncus Arteriosus
50%
Breathing
50%
Image Quality
30%
Adult Congenital Heart Disease
10%
Cardiac Magnetic Resonance Imaging
10%
Engineering
Joints (Structural Components)
50%
Deep Learning Method
50%
Motion Model
25%
Joint Motion Estimation
25%
Breathing
12%
High Resolution
12%
Good Agreement
12%
Systematic Error
12%
