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

F. Navarro, C. Watanabe, S. Shit, A. Sekuboyina, J. Peeken, S. Combs, and B. Menze. CoRR, (2021)

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Ilka Peeken

Heinz Peeken

Jan C Giller

Jan C Schuhr

Jan C Oberg

Other publications of authors with the same name

A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning.F. Navarro, G. Sasahara, S. Shit, A. Sekuboyina, I. Ezhov, J. Peeken, S. Combs, and B. Menze. EMBC, page 1544-1547. IEEE, (2022)blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation.F. Kofler, S. Shit, I. Ezhov, L. Fidon, I. Horvath, R. Al-Maskari, H. Li, H. Bhatia, T. Loehr, M. Piraud and 7 other author(s). IPMI, volume 13939 of Lecture Notes in Computer Science, page 755-767. Springer, (2023)Analysis of clinical, dosimetric and radiomic features for predicting local failure after stereotactic radiotherapy of brain metastases in malignant melanoma.N. Hartong, I. Sachpazidis, O. Blanck, L. Etzel, J. Peeken, S. Combs, H. Urbach, M. Zaitsev, D. Baltas, I. Popp and 2 other author(s). CoRR, (2024)Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge.S. Fischer, J. Kiechle, D. Lang, J. Peeken, and J. Schnabel. CoRR, (2024)All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.A. Erdur, D. Scholz, J. Buchner, S. Combs, D. Rueckert, and J. Peeken. CoRR, (2023)Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients.D. Lang, J. Peeken, S. Combs, J. Wilkens, and S. Bartzsch. CoRR, (2020)Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective.F. Navarro, C. Watanabe, S. Shit, A. Sekuboyina, J. Peeken, S. Combs, and B. Menze. EMBC, page 5074-5079. IEEE, (2022)Shape-Aware Complementary-Task Learning for Multi-organ Segmentation.F. Navarro, S. Shit, I. Ezhov, J. Paetzold, A. Gafita, J. Peeken, S. Combs, and B. Menze. MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 620-627. Springer, (2019)Evaluating the Robustness of Self-Supervised Learning in Medical Imaging.F. Navarro, C. Watanabe, S. Shit, A. Sekuboyina, J. Peeken, S. Combs, and B. Menze. CoRR, (2021)A Video Data Based Transfer Learning Approach for Classification of MGMT Status in Brain Tumor MR Images.D. Lang, J. Peeken, S. Combs, J. Wilkens, and S. Bartzsch. BrainLes@MICCAI (1), volume 12962 of Lecture Notes in Computer Science, page 306-314. Springer, (2021)

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Disambiguation of "Peeken, Jan C."

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

Please choose a person to relate this publication to

Ilka Peeken

Heinz Peeken

Jan C Giller

Jan C Schuhr

Jan C Oberg

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peeken, Jan C."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Evaluating the Robustness of Self-Supervised Learning in Medical Imaging.

Please choose a person to relate this publication to

Ilka Peeken

Heinz Peeken

Jan C Giller

Jan C Schuhr

Jan C Oberg

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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