Stephanie Combs

According to our database, Stephanie Combs authored at least 17 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data.

Phawis Thammasorn, Wanpracha Art Chaovalitwongse, Daniel S. Hippe, Landon Wootton, Eric Ford, Matthew Spraker, Stephanie E. Combs, Jan C. Peeken, Matthew Nyflot

IEEE Trans. Neural Networks Learn. Syst., February, 2023

All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.

Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken

CoRR, 2023

2022

A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning.

Fernando Navarro, Guido Sasahara, Suprosanna Shit, Ivan Ezhov, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

CoRR, 2022

Regularizing the Deepsurv Network Using Projection Loss for Medical Risk Assessment.

Phawis Thammasorn, Stephanie K. Schaub, Daniel S. Hippe, Matthew Spraker, Jan C. Peeken, Landon Wootton, Paul E. Kinahan, Stephanie E. Combs, Wanpracha Art Chaovalitwongse, Matthew Nyflot

IEEE Access, 2022

Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective.

Fernando Navarro, Christopher Watanabe, Suprosanna Shit, Anjany Sekuboyina, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning.

Fernando Navarro, Guido Sasahara, Suprosanna Shit, Anjany Sekuboyina, Ivan Ezhov, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Evaluating the Robustness of Self-Supervised Learning in Medical Imaging.

Fernando Navarro, Christopher Watanabe, Suprosanna Shit, Anjany Sekuboyina, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

CoRR, 2021

Do We Need Complex Image Features to Personalize Treatment of Patients with Locally Advanced Rectal Cancer?

Iram Shahzadi, Annika Lattermann, Annett Linge, Alex Zwanenburg, Christian Baldus, Jan C. Peeken, Stephanie E. Combs, Michael Baumann, Mechthild Krause, Esther G. C. Troost, Steffen Löck

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep Learning Based GTV Delineation and Progression Free Survival Risk Score Prediction for Head and Neck Cancer Patients.

Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

A Video Data Based Transfer Learning Approach for Classification of MGMT Status in Brain Tumor MR Images.

Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients.

Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch

CoRR, 2020

Deep Reinforcement Learning for Organ Localization in CT.

Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019

Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference.

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

IEEE Trans. Medical Imaging, 2019

Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification.

Phawis Thammasorn, Daniel S. Hippe, Wanpracha Art Chaovalitwongse, Matthew Spraker, Landon Wootton, Matthew Nyflot, Stephanie Combs, Jan Peeken, Eric Ford

CoRR, 2019

Shape-Aware Complementary-Task Learning for Multi-organ Segmentation.

Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration.

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

CoRR, 2018

2014

Five-year experience with setup and implementation of an integrated database system for clinical documentation and research.

Kerstin A. Kessel, Christian Bohn, Uwe Engelmann, Dieter Oetzel, Nina Bougatf, Rolf Bendl, Jürgen Debus, Stephanie E. Combs

Comput. Methods Programs Biomed., 2014