Multi-modal Unsupervised Domain Adaptation for Deformable Registration Based on Maximum Classifier Discrepancy. - Christian N. Kruse; Lasse Hansen; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2021)

Bridging the domain gap for medical image segmentation with multimodal MIND features. - Christian N. Kruse; Mattias P. Heinrich (Image Processing, 2022)

DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation. - Christian Weihsbach; Alexander Bigalke; Christian N. Kruse; Hellena Hempe; Mattias P. Heinrich (WBIR, 2022)

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; Jorge Cardoso 002; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (CoRR, 2022)

DG-TTA: Out-of-domain medical image segmentation through Domain Generalization and Test-Time Adaptation. - Christian Weihsbach; Christian N. Kruse; Alexander Bigalke; Mattias P. Heinrich (CoRR, 2023)

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; M. Jorge Cardoso; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (Medical Image Anal., 2023)