Jan Peeken
Orcid: 0000-0003-2679-9853
According to our database1,
Jan Peeken
authored at least 21 papers
between 2019 and 2024.
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Bibliography
2024
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification?
CoRR, 2024
Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge.
CoRR, 2024
Analysis of clinical, dosimetric and radiomic features for predicting local failure after stereotactic radiotherapy of brain metastases in malignant melanoma.
CoRR, 2024
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data.
IEEE Trans. Neural Networks Learn. Syst., February, 2023
CoRR, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning.
CoRR, 2022
IEEE Access, 2022
Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective.
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.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Do We Need Complex Image Features to Personalize Treatment of Patients with Locally Advanced Rectal Cancer?
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.
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.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
CoRR, 2020
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
2019
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification.
CoRR, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019