A System for Image-Based Non-Line-Of-Sight Detection Using Convolutional Neural Networks. - Clarissa Böker; Joshua Niemeijer; Nicolai Wojke; Cyril Meurie; Yann Cocheril (ITSC, 2019)

Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation. - Joshua Niemeijer; Jörg P. Schäfer (IV Workshops, 2021)

Deep Neural Networks for Railway Switch Detection and Classification Using Onboard Camera Images. - Kanwal Jahan; Joshua Niemeijer; Nils Kornfeld; Michael Roth (SSCI, 2021)

Domain Adaptation and Generalization: A Low-Complexity Approach. - Joshua Niemeijer; Jörg Peter Schäfer (CoRL, 2022)

Best Practices in Active Learning for Semantic Segmentation. - Sudhanshu Mittal; Joshua Niemeijer; Jörg P. Schäfer; Thomas Brox (DAGM, 2023)

Synthetic Dataset Acquisition for a Specific Target Domain. - Joshua Niemeijer; Sudhanshu Mittal; Thomas Brox (ICCV (Workshops), 2023)

Overcoming the sensor delta for semantic segmentation in OCT images. - Joshua Niemeijer; Jan Ehrhardt; Timo Kepp; Jörg P. Schäfer; Heinz Handels (Computer-Aided Diagnosis, 2023)

An Approach for Fusing Two Training-Datasets with Partially Overlapping Classes. - Joshua Niemeijer; Federico Battistella; Gurucharan Srinivas; Andreas Leich (ICSC, 2023)

Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. - Manuel Schwonberg; Joshua Niemeijer; Jan-Aike Termöhlen; Jörg P. Schäfer; Nico M. Schmidt; Hanno Gottschalk; Tim Fingscheidt (IEEE Access, 2023)

Revisiting Deep Active Learning for Semantic Segmentation. - Sudhanshu Mittal; Joshua Niemeijer; Jörg P. Schäfer; Thomas Brox (CoRR, 2023)

Abstract: Reducing Domain Shift in Deep Learning for OCT Segmentation using Image Manipulations. - Marc S. Seibel; Joshua Niemeijer; Marc Rowedder; Helge Sudkamp; Timo Kepp; Gereon Hüttmann; Heinz Handels (Bildverarbeitung für die Medizin, 2024)

TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification - Leveraging Epistemic Uncertainty to Improve Model Performance. - Joshua Niemeijer; Jan Ehrhardt; Hristina Uzunova; Heinz Handels (SASHIMI@MICCAI, 2024)

Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. - Joshua Niemeijer; Manuel Schwonberg; Jan-Aike Termöhlen; Nico M. Schmidt; Tim Fingscheidt (WACV, 2024)

LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas. - Sofija Engelson; Jan Ehrhardt; Timo Kepp; Joshua Niemeijer; Heinz Handels (CoRR, 2024)

TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification. - Joshua Niemeijer; Jan Ehrhardt; Hristina Uzunova; Heinz Handels (CoRR, 2024)

Abstract: TSynD Targeted Synthetic Data Generation for Enhanced Medical Image Classification - Leveraging Epistemic Uncertainty to Improve Model Performance. - Joshua Niemeijer; Jan Ehrhardt; Hristina Uzunova; Heinz Handels (Bildverarbeitung für die Medizin, 2025)

Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation. - Sudhanshu Mittal; Joshua Niemeijer; Özgün Çiçek; Maxim Tatarchenko; Jan Ehrhardt; Jörg P. Schäfer; Heinz Handels; Thomas Brox (Int. J. Comput. Vis., 2025)