Link Tejavibulya

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Machine Learning

Acute Lymphoblastic Leukemia

Top Venues

Nature communications

Nature human behaviour

Molecular psychiatry

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

Publications

Matthew Rosenblatt, Link Tejavibulya, Huili Sun, Chris C Camp, Milana Khaitova, Brendan D Adkinson, Rongtao Jiang, Margaret L Westwater, Stephanie Noble, Dustin Sheinost
Power and reproducibility in the external validation of brain-phenotype predictions. Nature human behaviour (2024)
Matthew Rosenblatt, Link Tejavibulya, Huili Sun, Chris C Camp, Milana Khaitova, Brendan D Adkinson, Rongtao Jiang, Margaret L Westwater, Stephanie Noble, Dustin Sheinost
Power and reproducibility in the external validation of brain-phenotype predictions. Nature human behaviour (2024)
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Sheinost
Data leakage inflates prediction performance in connectome-based machine learning models. Nature communications 15 (1) (2024)
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Sheinost
Data leakage inflates prediction performance in connectome-based machine learning models. Nature communications 15 (1) (2024)
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Sheinost
Data leakage inflates prediction performance in connectome-based machine learning models. Nature communications 15 (1) (2024)
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Sheinost
Data leakage inflates prediction performance in connectome-based machine learning models. Nature communications 15 (1) (2024)
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Sheinost
Data leakage inflates prediction performance in connectome-based machine learning models. Nature communications 15 (1) (2024)
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Sheinost
Data leakage inflates prediction performance in connectome-based machine learning models. Nature communications 15 (1) (2024)
Link Tejavibulya, Max J Rolison, Siyuan Gao, Qinghao Liang, Hannah Peterson, Javid Dadashkarimi, Michael C Farruggia, C Alice Hahn, Stephanie Noble, Sarah D Lichenstein, Angeliki Pollatou, Alexander J Dufford, Dustin Sheinost
Predicting the future of neuroimaging predictive models in mental health. Molecular psychiatry 27 (8) (2022)