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2020 – today
- 2024
[c9]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- [i13]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) - [i12]Stefan M. Fischer, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel:
Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge. CoRR abs/2406.14365 (2024) - [i11]Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel:
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks. CoRR abs/2407.07853 (2024) - [i10]Johannes Kiechle, Daniel M. Lang, Stefan M. Fischer, Lina Felsner, Jan C. Peeken, Julia A. Schnabel:
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification? CoRR abs/2407.17219 (2024) - 2023
- [j2]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) - [c8]Florian Kofler, Suprosanna Shit, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Rami Al-Maskari, Hongwei Bran Li, Harsharan Bhatia, Timo Loehr, Marie Piraud, Ali Ertürk, Jan Kirschke, Jan C. Peeken, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze:
blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation. IPMI 2023: 755-767 - [i9]Alexander Ziller, Alp Güvenir, Ayhan Can Erdur, Tamara T. Mueller, Philip Müller, Friederike Jungmann, Johannes Brandt, Jan Peeken, Rickmer Braren, Daniel Rueckert, Georgios Kaissis:
Explainable 2D Vision Models for 3D Medical Data. CoRR abs/2307.06614 (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
- [j1]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) - [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 - [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) - [i6]Florian Kofler, Suprosanna Shit, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Rami Al-Maskari, Hongwei Li, Harsharan Bhatia, Timo Loehr, Marie Piraud, Ali Ertürk, Jan Kirschke, Jan Peeken, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze:
blob loss: instance imbalance aware loss functions for semantic segmentation. CoRR abs/2205.08209 (2022) - 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 - [i5]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
- [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 - [i4]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) - [i3]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)
2010 – 2019
- 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 - [i2]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) - [i1]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)
Coauthor Index
aka: Stephanie E. Combs
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last updated on 2024-09-09 00:18 CEST by the dblp team
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