| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines
|
Varoquaux, Gaël
|
|
2017
|
145 |
PB |
p. 166-179
|
artikel
|
| 2 |
Classification of first-episode psychosis in a large cohort of patients using support vector machine and multiple kernel learning techniques
|
Squarcina, Letizia
|
|
2017
|
145 |
PB |
p. 238-245
|
artikel
|
| 3 |
Computational neuroimaging strategies for single patient predictions
|
Stephan, K.E.
|
|
2017
|
145 |
PB |
p. 180-199
|
artikel
|
| 4 |
Decoding negative affect personality trait from patterns of brain activation to threat stimuli
|
Fernandes Jr, Orlando
|
|
2017
|
145 |
PB |
p. 337-345
|
artikel
|
| 5 |
Detecting and interpreting conscious experiences in behaviorally non-responsive patients
|
Naci, Lorina
|
|
2017
|
145 |
PB |
p. 304-313
|
artikel
|
| 6 |
Editorial Board
|
|
|
2017
|
145 |
PB |
p. IFC
|
artikel
|
| 7 |
ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide
|
Thompson, Paul M.
|
|
2017
|
145 |
PB |
p. 389-408
|
artikel
|
| 8 |
Group-regularized individual prediction: theory and application to pain
|
Lindquist, Martin A.
|
|
2017
|
145 |
PB |
p. 274-287
|
artikel
|
| 9 |
HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework
|
Varol, Erdem
|
|
2017
|
145 |
PB |
p. 346-364
|
artikel
|
| 10 |
Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning
|
Wu, Mon-Ju
|
|
2017
|
145 |
PB |
p. 254-264
|
artikel
|
| 11 |
Increasingly complex representations of natural movies across the dorsal stream are shared between subjects
|
Güçlü, Umut
|
|
2017
|
145 |
PB |
p. 329-336
|
artikel
|
| 12 |
“Look at my classifier's result”: Disentangling unresponsive from (minimally) conscious patients
|
Noirhomme, Quentin
|
|
2017
|
145 |
PB |
p. 288-303
|
artikel
|
| 13 |
Machine learning of structural magnetic resonance imaging predicts psychopathic traits in adolescent offenders
|
Steele, Vaughn R.
|
|
2017
|
145 |
PB |
p. 265-273
|
artikel
|
| 14 |
Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients
|
Nieuwenhuis, Mireille
|
|
2017
|
145 |
PB |
p. 246-253
|
artikel
|
| 15 |
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data
|
Meng, Xing
|
|
2017
|
145 |
PB |
p. 218-229
|
artikel
|
| 16 |
Prediction of Individual Differences from Neuroimaging Data
|
Calhoun, Vince D.
|
|
2017
|
145 |
PB |
p. 135-136
|
artikel
|
| 17 |
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
|
Arbabshirani, Mohammad R.
|
|
2017
|
145 |
PB |
p. 137-165
|
artikel
|
| 18 |
Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks
|
Jang, Hojin
|
|
2017
|
145 |
PB |
p. 314-328
|
artikel
|
| 19 |
Ten problems and solutions when predicting individual outcome from lesion site after stroke
|
Price, Cathy J.
|
|
2017
|
145 |
PB |
p. 200-208
|
artikel
|
| 20 |
The effect of preprocessing pipelines in subject classification and detection of abnormal resting state functional network connectivity using group ICA
|
Vergara, Victor M.
|
|
2017
|
145 |
PB |
p. 365-376
|
artikel
|
| 21 |
The Virtual Epileptic Patient: Individualized whole-brain models of epilepsy spread
|
Jirsa, V.K.
|
|
2017
|
145 |
PB |
p. 377-388
|
artikel
|
| 22 |
Towards person-centered neuroimaging markers for resilience and vulnerability in Bipolar Disorder
|
Frangou, Sophia
|
|
2017
|
145 |
PB |
p. 230-237
|
artikel
|
| 23 |
Using neuroimaging to help predict the onset of psychosis
|
Gifford, George
|
|
2017
|
145 |
PB |
p. 209-217
|
artikel
|
Tijdschrift beschrijving