J. Kernbach

发表

Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants

G. Varoquaux, A. Gramfort, B. Thirion, 2018, Proceedings of the National Academy of Sciences.

The default network of the human brain is associated with perceived social isolation

Thomas V. Wiecki, Robin I. M. Dunbar, R. N. Spreng, 2020, Nature Communications.

Machine learning in neurosurgery: a global survey

V. Staartjes, M. Schröder, L. Regli, 2020, Acta Neurochirurgica.

External validation of a prediction model for pain and functional outcome after elective lumbar spinal fusion

V. Staartjes, Marlies P. de Wispelaere, M. Schröder, 2019, European Spine Journal.

Shared endo-phenotypes of default mode dysfunction in attention deficit/hyperactivity disorder and autism spectrum disorder

Danilo Bzdok, Gaël Varoquaux, Bertrand Thirion, 2018, Translational Psychiatry.

Predicted Prognosis of Pancreatic Cancer Patients by Machine Learning—Letter

V. Staartjes, J. Kernbach, 2020, Clinical Cancer Research.

Pattern learning reveals brain asymmetry to be linked to socioeconomic status

M. Farah, A. Dagher, G. Nave, 2022, Cerebral cortex communications.

The association of patient age with postoperative morbidity and mortality following resection of intracranial tumors

G. Neuloh, P. Ferroli, N. Krayenbühl, 2021, Brain & spine.

Crosstalk between lymphoid and myeloid cells orchestrates glioblastoma immunity through Interleukin 10 signaling

U. Hofmann, M. Boerries, J. Beck, 2021 .

Development and external validation of a clinical prediction model for functional impairment after intracranial tumor surgery.

J. Sarnthein, G. Neuloh, P. Ferroli, 2020, Journal of neurosurgery.

T-cell dysfunction in the glioblastoma microenvironment is mediated by myeloid cells releasing interleukin-10

U. Hofmann, M. Boerries, R. Sankowski, 2022, Nature communications.

Lineage and Spatial Mapping of Glioblastoma-associated Immunity

U. Hofmann, M. Boerries, J. Beck, 2020, bioRxiv.

Meta-topologies define distinct anatomical classes of brain tumours linked to histology and survival

G. Neuloh, S. Eickhoff, D. Bzdok, 2021, medRxiv.

Machine Learning-Based Radiomics in Neuro-Oncology.

H. Clusmann, D. Delev, J. Kernbach, 2021, Acta neurochirurgica. Supplement.

T-cell dysfunction in the glioblastoma microenvironment is mediated by myeloid cells releasing interleukin-10

M. Boerries, R. Sankowski, M. Prinz, 2022, Nature Communications.

18F-FET-PET-guided gross total resection improves overall survival in patients with WHO grade III/IV glioma: moving towards a multimodal imaging-guided resection

F. Mottaghy, G. Neuloh, N. Galldiks, 2021, Journal of Neuro-Oncology.

Machine learning-based clinical prediction modeling - A practical guide for clinicians pdf

Julius M. Kernbach, Victor E. Staartjes, V. Staartjes, 2020, ArXiv.

Machine Learning Algorithms in Neuroimaging: An Overview.

V. Staartjes, L. Regli, C. V. van Niftrik, 2021, Acta neurochirurgica. Supplement.

Letter to the Editor. Importance of calibration assessment in machine learning-based predictive analytics.

V. Staartjes, J. Kernbach, 2020, Journal of neurosurgery. Spine.

Foundations of Feature Selection in Clinical Prediction Modeling.

V. Staartjes, L. Regli, C. V. van Niftrik, 2021, Acta neurochirurgica. Supplement.

Foundations of Machine Learning-Based Clinical Prediction Modeling: Part II-Generalization and Overfitting.

V. Staartjes, J. Kernbach, 2021, Acta neurochirurgica. Supplement.

Foundations of Machine Learning-Based Clinical Prediction Modeling: Part III-Model Evaluation and Other Points of Significance.

V. Staartjes, J. Kernbach, 2021, Acta neurochirurgica. Supplement.

Significance of external validation in clinical machine learning: let loose too early?

V. Staartjes, J. Kernbach, 2020, The spine journal : official journal of the North American Spine Society.

Dimensionality Reduction: Foundations and Applications in Clinical Neuroscience.

G. Neuloh, H. Clusmann, D. Delev, 2021, Acta neurochirurgica. Supplement.

Introduction to Machine Learning in Neuroimaging.

G. Neuloh, H. Clusmann, D. Delev, 2021, Acta neurochirurgica. Supplement.

Foundations of Time Series Analysis.

G. Neuloh, H. Clusmann, D. Delev, 2021, Acta neurochirurgica. Supplement.

Letter to the Editor Regarding "Investigating Risk Factors and Predicting Complications in Deep Brain Stimulation Surgery with Machine Learning Algorithms".

V. Staartjes, J. Kernbach, 2020, World neurosurgery.

Foundations of Machine Learning-Based Clinical Prediction Modeling: Part IV-A Practical Approach to Binary Classification Problems.

V. Staartjes, J. Kernbach, 2021, Acta neurochirurgica. Supplement.

Foundations of Machine Learning-Based Clinical Prediction Modeling: Part V-A Practical Approach to Regression Problems.

V. Staartjes, J. Kernbach, 2021, Acta neurochirurgica. Supplement.