Not Logged In



Publications by Hoehn, Bret

In Journal (refereed)

1. H. Haider, B. Hoehn, S. Davis, R. Greiner. "Effective Ways to Build and Evaluate Individual Survival Distributions". Journal of Machine Learning Research (JMLR), 21(85), pp 1-63, May 2020. view
2. L. Lei, M. Magyar-Ng, Y. Mikami, S. Kalmady, B. Hoehn, S. Dykstra, B. Heydari, J. Flewitt, N. Merchant, A. Howarth, C. Lydell, R. Greiner, N. Fine, J. White. "Machine learning based automated diagnosis of ischemic vs non-ischemic dilated cardiomyopathy using 3D myocardial deformation analysis". European Heart Journal, 40(Supplement 1), October 2019. view
3. M. Uhlich, R. Greiner, B. Hoehn, M. Woghiren, I. Diaz, T. Ivanova, A. Murtha. "Improved Brain Tumor Segmentation via Registration-Based Brain ". Forecasting, 1(1), pp 59-69, September 2018. view
4. A. Andres, A. Montano-Loza, R. Greiner, M. Uhlich, P. Jin, B. Hoehn, D. Bigam, J. Shapiro, N. Kneteman. "A novel learning algorithm to predict individual survival after liver transplantation for primary sclerosing cholangitis". PLoS One, 13(3), pp e0193523, March 2018. view

In Conference (refereed)

5. I. Diaz, P. Boulanger, R. Greiner, B. Hoehn, L. Rowe, A. Murtha. "An Automatic Brain Tumor Segmentation Tool". Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp 3339-3342, July 2013. view
6. M. Ben Salah, I. Diaz, R. Greiner, P. Boulanger, B. Hoehn, A. Murtha. "Fully Automated Brain Tumor Segmentation Using Two MRI Modalities". International Symposium on Visual Computing, pp 30-39, July 2013. view

In Conference (unrefereed)

7. M. Magyar-Ng, A. Satriano, L. Lei, Y. Mikami, S. Kalmady, B. Hoehn, B. Heydari, M. Yuan, N. Merchant, A. Howarth, C. Lydell, R. Greiner, N. Fine, J. White. " Machine Learning of Regional 3D Myocardial Deformation from Cardiac MRI for the Identification of Ischemic and Non-Ischemic Dilated Cardiomyopathy in Patients with Reduced Left-Ventricular Function". Society for Cardiovascular Magnetic Resonance, Bellevue, Washington, February 2019. view

Other Categories

8. B. Wubie, A. Andres, R. Greiner, B. Hoehn, A. Montano-Loza, N. Kneteman, G. Heo. "Cluster Identification via Persistent Homology and other Clustering Techniques, with Application to Liver Transplant Data". Research in Computational Topology, Springer, (ed: Chambers, Erin, Fasy, Brittany Terese, Ziegelmeier, Lori ), 13, pp 145-177, March 2018. view
University of Alberta Logo AICML Logo