Lianne Schmaal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
2
Active years
2017–2018
Best venue rank
A
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2018 | MICCAI | Deep Learning for Quality Control of Subcortical Brain 3D Shape Models. | Dmitry Petrov, Boris A. Gutman, Egor Kuznetsov, Christopher R. K. Ching, Kathryn I. Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev, Jessica A. Turner, Theo G. M. van Erp, Lei Wang, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson |
| 2017 | CEC | An evolutionary approach for fMRI big data classification. | Amirhessam Tahmassebi, Amir H. Gandomi, Ian McCann, Mieke H. J. Schulte, Lianne Schmaal, Anna E. Goudriaan, Anke Meyer-Baese |
| 2017 | MICCAI | Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging. | Dmitry Petrov, Boris A. Gutman, Shih-Hua (Julie) Yu, Kathryn I. Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev, Jessica A. Turner, Theo G. M. van Erp, Lei Wang, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson |
| 2017 | MICCAI | Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model. | Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Matthew D. Sacchet, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson |