| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Correction to: PyPNS: Multiscale Simulation of a Peripheral Nerve in Python
|
Lubba, Carl H.
|
|
2019
|
17 |
4 |
p. 629
|
artikel
|
| 2 |
Fast and Precise Hippocampus Segmentation Through Deep Convolutional Neural Network Ensembles and Transfer Learning
|
Ataloglou, Dimitrios
|
|
2019
|
17 |
4 |
p. 563-582
|
artikel
|
| 3 |
Handling Multiplicity in Neuroimaging Through Bayesian Lenses with Multilevel Modeling
|
Chen, Gang
|
|
2019
|
17 |
4 |
p. 515-545
|
artikel
|
| 4 |
Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites
|
Li, Shiwei
|
|
2019
|
17 |
4 |
p. 497-514
|
artikel
|
| 5 |
Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics
|
Vilor-Tejedor, Natalia
|
|
2019
|
17 |
4 |
p. 583-592
|
artikel
|
| 6 |
Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment
|
Zhang, Han
|
|
2019
|
17 |
4 |
p. 547-561
|
artikel
|
| 7 |
NengoDL: Combining Deep Learning and Neuromorphic Modelling Methods
|
Rasmussen, Daniel
|
|
2019
|
17 |
4 |
p. 611-628
|
artikel
|
| 8 |
Response to “Fallacies of Mice Experiments”
|
Gao, Zhenyu
|
|
2019
|
17 |
4 |
p. 475-478
|
artikel
|
| 9 |
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging
|
Gómez-Verdejo, Vanessa
|
|
2019
|
17 |
4 |
p. 593-609
|
artikel
|
| 10 |
Stochastic Rank Aggregation for the Identification of Functional Neuromarkers
|
Galdi, Paola
|
|
2019
|
17 |
4 |
p. 479-496
|
artikel
|
| 11 |
Turning the Tide of Data Sharing
|
Ascoli, Giorgio A.
|
|
2019
|
17 |
4 |
p. 473-474
|
artikel
|
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