Tamas Spisak

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Subarachnoid Hemorrhage

Neuropathic Pain

Machine Learning

Top Venues

Communications biology

This page only lists publications with an associated author ORCID identifier.

Publications

Bálint Kincses, Katarina Forkmann, Frederik Schlitt, Robert Jan Pawlik, Katharina Schmidt, Dagmar Timmann, Sigrid Elsenbruch, Katja Wiech, Ulrike Bingel, Tamas Spisak
An externally validated resting-state brain connectivity signature of pain-related learning. Communications biology 7 (1) (2024)
Bálint Kincses, Katarina Forkmann, Frederik Schlitt, Robert Jan Pawlik, Katharina Schmidt, Dagmar Timmann, Sigrid Elsenbruch, Katja Wiech, Ulrike Bingel, Tamas Spisak
An externally validated resting-state brain connectivity signature of pain-related learning. Communications biology 7 (1) (2024)
Bálint Kincses, Katarina Forkmann, Frederik Schlitt, Robert Jan Pawlik, Katharina Schmidt, Dagmar Timmann, Sigrid Elsenbruch, Katja Wiech, Ulrike Bingel, Tamas Spisak
An externally validated resting-state brain connectivity signature of pain-related learning. Communications biology 7 (1) (2024)
Tamas Spisak, Ulrike Bingel, Tor D Wager
Multivariate BWAS can be replicable with moderate sample sizes. Nature 615 (7951) (2023)
Tamas Spisak, Ulrike Bingel, Tor D Wager
Multivariate BWAS can be replicable with moderate sample sizes. Nature 615 (7951) (2023)
Kotikalapudi Raviteja, Balint Kincses, Matthias Zunhammer, Frederik Schlitt, Livia Asan, Tobias Schmidt-Wilcke, Zsigmond Tamás Kincses, Ulrike Bingel, Tamas Spisak
Brain morphology predicts individual sensitivity to pain: a multicenter machine learning approach. Pain (2023)
Tamas Spisak, Ulrike Bingel, Tor D Wager
Multivariate BWAS can be replicable with moderate sample sizes. Nature 615 (7951) (2023)
Tamas Spisak
Statistical quantification of confounding bias in machine learning models. GigaScience 11 (2022)