| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
An Optimized Mouse Brain Atlas for Automated Mapping and Quantification of Neuronal Activity Using iDISCO+ and Light Sheet Fluorescence Microscopy
|
Perens, Johanna
|
|
|
19 |
3 |
p. 433-446
|
artikel
|
| 2 |
Automatic Denoising of Single-Trial Event-Related Potentials
|
Boudiaf, Mohamed Amine
|
|
|
19 |
3 |
p. 547-550
|
artikel
|
| 3 |
Causal Network Inference for Neural Ensemble Activity
|
Chen, Rong
|
|
|
19 |
3 |
p. 515-527
|
artikel
|
| 4 |
3D Deep Neural Network Segmentation of Intracerebral Hemorrhage: Development and Validation for Clinical Trials
|
Sharrock, Matthew F.
|
|
|
19 |
3 |
p. 403-415
|
artikel
|
| 5 |
Deep Learning Model for the Automated Detection and Histopathological Prediction of Meningioma
|
Zhang, Hua
|
|
|
19 |
3 |
p. 393-402
|
artikel
|
| 6 |
Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset
|
Yousefnezhad, Muhammad
|
|
|
19 |
3 |
p. 417-431
|
artikel
|
| 7 |
DREAM
|
Gong, Zhu-Qing
|
|
|
19 |
3 |
p. 529-545
|
artikel
|
| 8 |
Fast Estimation of L1-Regularized Linear Models in the Mass-Univariate Setting
|
Mohr, Holger
|
|
|
19 |
3 |
p. 385-392
|
artikel
|
| 9 |
Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors
|
Bernal, Jose
|
|
|
19 |
3 |
p. 477-492
|
artikel
|
| 10 |
Improving Covariance Matrices Derived from Tiny Training Datasets for the Classification of Event-Related Potentials with Linear Discriminant Analysis
|
Sosulski, Jan
|
|
|
19 |
3 |
p. 461-476
|
artikel
|
| 11 |
Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography
|
Hansen, Colin B
|
|
|
19 |
3 |
p. 447-460
|
artikel
|
| 12 |
RippleNet: a Recurrent Neural Network for Sharp Wave Ripple (SPW-R) Detection
|
Hagen, Espen
|
|
|
19 |
3 |
p. 493-514
|
artikel
|
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