| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
AI in MRI: A case for grassroots deep learning
|
Schilling, Kurt G.
|
|
|
64 |
C |
p. 1-3
|
artikel
|
| 2 |
Applications of a deep learning method for anti-aliasing and super-resolution in MRI
|
Zhao, Can
|
|
|
64 |
C |
p. 132-141
|
artikel
|
| 3 |
Automated and accurate quantification of subcutaneous and visceral adipose tissue from magnetic resonance imaging based on machine learning
|
Shen, Ning
|
|
|
64 |
C |
p. 28-36
|
artikel
|
| 4 |
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
|
Khalili, N.
|
|
|
64 |
C |
p. 77-89
|
artikel
|
| 5 |
DeepHarmony: A deep learning approach to contrast harmonization across scanner changes
|
Dewey, Blake E.
|
|
|
64 |
C |
p. 160-170
|
artikel
|
| 6 |
Denoising of MR images with Rician noise using a wider neural network and noise range division
|
You, Xuexiao
|
|
|
64 |
C |
p. 154-159
|
artikel
|
| 7 |
Differentiation of spinal metastases originated from lung and other cancers using radiomics and deep learning based on DCE-MRI
|
Lang, Ning
|
|
|
64 |
C |
p. 4-12
|
artikel
|
| 8 |
Dual-domain convolutional neural networks for improving structural information in 3 T MRI
|
Zhang, Yongqin
|
|
|
64 |
C |
p. 90-100
|
artikel
|
| 9 |
Editorial Board
|
|
|
|
64 |
C |
p. ii
|
artikel
|
| 10 |
Learning image-based spatial transformations via convolutional neural networks: A review
|
Tustison, Nicholas J.
|
|
|
64 |
C |
p. 142-153
|
artikel
|
| 11 |
Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa
|
Romeo, Valeria
|
|
|
64 |
C |
p. 71-76
|
artikel
|
| 12 |
Machine learning in resting-state fMRI analysis
|
Khosla, Meenakshi
|
|
|
64 |
C |
p. 101-121
|
artikel
|
| 13 |
Open-source pipeline for multi-class segmentation of the spinal cord with deep learning
|
Paugam, François
|
|
|
64 |
C |
p. 21-27
|
artikel
|
| 14 |
Precision diagnostics based on machine learning-derived imaging signatures
|
Davatzikos, Christos
|
|
|
64 |
C |
p. 49-61
|
artikel
|
| 15 |
Registration uncertainty quantification via low-dimensional characterization of geometric deformations
|
Wang, Jian
|
|
|
64 |
C |
p. 122-131
|
artikel
|
| 16 |
Role of deep learning in infant brain MRI analysis
|
Mostapha, Mahmoud
|
|
|
64 |
C |
p. 171-189
|
artikel
|
| 17 |
Synthesized b0 for diffusion distortion correction (Synb0-DisCo)
|
Schilling, Kurt G.
|
|
|
64 |
C |
p. 62-70
|
artikel
|
| 18 |
Synthesizing T1 weighted MPRAGE image from multi echo GRE images via deep neural network
|
Ryu, Kanghyun
|
|
|
64 |
C |
p. 13-20
|
artikel
|
| 19 |
Tractography and machine learning: Current state and open challenges
|
Poulin, Philippe
|
|
|
64 |
C |
p. 37-48
|
artikel
|
| 20 |
Using deep Siamese neural networks for detection of brain asymmetries associated with Alzheimer's Disease and Mild Cognitive Impairment
|
Liu, Chin-Fu
|
|
|
64 |
C |
p. 190-199
|
artikel
|
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