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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |