default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDStephanie Combs
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2023
[j4]Phawis Thammasorn
, Wanpracha Art Chaovalitwongse, Daniel S. Hippe, Landon Wootton, Eric Ford, Matthew Spraker, Stephanie E. Combs, Jan C. Peeken, Matthew Nyflot:
Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data. IEEE Trans. Neural Networks Learn. Syst. 34(2): 586-600 (2023)- 2022
- [j3]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:
Regularizing the Deepsurv Network Using Projection Loss for Medical Risk Assessment. IEEE Access 10: 8005-8020 (2022) - 2019
- [j2]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): 1875-1884 (2019) - 2014
- [j1]Kerstin A. Kessel, Christian Bohn, Uwe Engelmann, Dieter Oetzel, Nina Bougatf, Rolf Bendl, Jürgen Debus, Stephanie E. Combs:
Five-year experience with setup and implementation of an integrated database system for clinical documentation and research. Comput. Methods Programs Biomed. 114(2): 206-217 (2014)
Conference and Workshop Papers
- 2024
- [c8]Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Maxime Di Folco, Sarah C. Foreman, Verena K. N. Rösner, Ann-Kathrin Lohse, Carolin Mogler, Carolin Knebel, Marcus R. Makowski, Klaus Woertler, Stephanie E. Combs, Alexandra S. Gersing, Jan C. Peeken, Julia A. Schnabel:
Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks. ISBI 2024: 1-5 - 2022
- [c7]Fernando Navarro, Guido Sasahara, Suprosanna Shit, Anjany Sekuboyina, Ivan Ezhov, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning. EMBC 2022: 1544-1547 - [c6]Fernando Navarro, Christopher Watanabe, Suprosanna Shit, Anjany Sekuboyina, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective. EMBC 2022: 5074-5079 - 2021
- [c5]Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch:
A Video Data Based Transfer Learning Approach for Classification of MGMT Status in Brain Tumor MR Images. BrainLes@MICCAI (1) 2021: 306-314 - [c4]Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch:
Deep Learning Based GTV Delineation and Progression Free Survival Risk Score Prediction for Head and Neck Cancer Patients. HECKTOR@MICCAI 2021: 150-159 - [c3]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:
Do We Need Complex Image Features to Personalize Treatment of Patients with Locally Advanced Rectal Cancer? MICCAI (7) 2021: 775-785 - 2020
- [c2]Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
Deep Reinforcement Learning for Organ Localization in CT. MIDL 2020: 544-554 - 2019
- [c1]Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
Shape-Aware Complementary-Task Learning for Multi-organ Segmentation. MLMI@MICCAI 2019: 620-627
Informal and Other Publications
- 2024
- [i9]Nanna E. Hartong, Ilias Sachpazidis, Oliver Blanck, Lucas Etzel, Jan C. Peeken, Stephanie E. Combs, Horst Urbach, Maxim Zaitsev, Dimos Baltas, Ilinca Popp, Anca-Ligia Grosu, Tobias Fechter:
Analysis of clinical, dosimetric and radiomic features for predicting local failure after stereotactic radiotherapy of brain metastases in malignant melanoma. CoRR abs/2405.20825 (2024) - 2023
- [i8]Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken:
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions. CoRR abs/2310.02829 (2023) - 2022
- [i7]Fernando Navarro, Guido Sasahara, Suprosanna Shit, Ivan Ezhov, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning. CoRR abs/2203.00624 (2022) - 2021
- [i6]Fernando Navarro, Christopher Watanabe, Suprosanna Shit, Anjany Sekuboyina, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging. CoRR abs/2105.06986 (2021) - 2020
- [i5]Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
Deep Reinforcement Learning for Organ Localization in CT. CoRR abs/2005.04974 (2020) - [i4]Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch:
Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients. CoRR abs/2011.08555 (2020) - 2019
- [i3]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 abs/1908.05099 (2019) - [i2]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 abs/1911.07940 (2019) - 2018
- [i1]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 abs/1807.00499 (2018)
Coauthor Index
aka: Jan C. Peeken
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
