Stephanie Combs

Publication Activity (10 Years)

Years Active: 2018-2019
Publications (10 Years): 4

Top Topics

Bayesian Inference

Posterior Distribution

Knn Classification

Hyperparameters

Top Venues

IEEE Trans. Medical Imaging

Publications

Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference. IEEE Trans. Medical Imaging 38 (8) (2019)
Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan Peeken, Stephanie Combs, Bjoern H. Menze
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation. CoRR (2019)
Phawis Thammasorn, Daniel S. Hippe, Wanpracha Art Chaovalitwongse, Matthew Spraker, Landon Wootton, Matthew Nyflot, Stephanie Combs, Jan Peeken, Eric Ford
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification. CoRR (2019)
Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze
Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. CoRR (2018)