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ORCIDJoshua Niemeijer
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2020 – today
- 2024
[c11]Marc S. Seibel, Joshua Niemeijer, Marc Rowedder, Helge Sudkamp, Timo Kepp, Gereon Hüttmann, Heinz Handels:
Abstract: Reducing Domain Shift in Deep Learning for OCT Segmentation using Image Manipulations. Bildverarbeitung für die Medizin 2024: 81- [c10]Joshua Niemeijer, Jan Ehrhardt, Hristina Uzunova, Heinz Handels:
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification - Leveraging Epistemic Uncertainty to Improve Model Performance. SASHIMI@MICCAI 2024: 69-78 - [c9]Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt:
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. WACV 2024: 2818-2828 - [i5]Sofija Engelson, Jan Ehrhardt, Timo Kepp, Joshua Niemeijer, Heinz Handels:
LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas. CoRR abs/2406.03984 (2024) - [i4]Joshua Niemeijer, Jan Ehrhardt, Hristina Uzunova, Heinz Handels:
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification. CoRR abs/2406.17473 (2024) - 2023
- [j1]Manuel Schwonberg
, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt:
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. IEEE Access 11: 54296-54336 (2023) - [c8]Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox:
Best Practices in Active Learning for Semantic Segmentation. DAGM 2023: 427-442 - [c7]Joshua Niemeijer, Sudhanshu Mittal, Thomas Brox:
Synthetic Dataset Acquisition for a Specific Target Domain. ICCV (Workshops) 2023: 4057-4066 - [c6]Joshua Niemeijer, Jan Ehrhardt, Timo Kepp, Jörg P. Schäfer, Heinz Handels:
Overcoming the sensor delta for semantic segmentation in OCT images. Medical Imaging: Computer-Aided Diagnosis 2023 - [c5]Joshua Niemeijer, Federico Battistella, Gurucharan Srinivas, Andreas Leich:
An Approach for Fusing Two Training-Datasets with Partially Overlapping Classes. ICSC 2023: 73-79 - [i3]Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox:
Revisiting Deep Active Learning for Semantic Segmentation. CoRR abs/2302.04075 (2023) - [i2]Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt:
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. CoRR abs/2304.11928 (2023) - [i1]Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt:
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. CoRR abs/2312.01850 (2023) - 2022
- [c4]Joshua Niemeijer, Jörg Peter Schäfer:
Domain Adaptation and Generalization: A Low-Complexity Approach. CoRL 2022: 1081-1091 - 2021
- [c3]Joshua Niemeijer, Jörg P. Schäfer:
Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation. IV Workshops 2021: 364-371 - [c2]Kanwal Jahan, Joshua Niemeijer, Nils Kornfeld, Michael Roth:
Deep Neural Networks for Railway Switch Detection and Classification Using Onboard Camera Images. SSCI 2021: 1-7
2010 – 2019
- 2019
- [c1]Clarissa Böker, Joshua Niemeijer, Nicolai Wojke, Cyril Meurie, Yann Cocheril:
A System for Image-Based Non-Line-Of-Sight Detection Using Convolutional Neural Networks. ITSC 2019: 535-540
Coauthor Index
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