Model-Based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-Guided Interventions. - Matthias Wilms; In Young Ha; Heinz Handels; Mattias Paul Heinrich (MICCAI (3), 2016)

Multi-Object Segmentation in Chest X-Ray Using Cascaded Regression Ferns. - In Young Ha; Matthias Wilms; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2017)

Comparing Deep Learning Strategies and Attention Mechanisms of Discrete Registration for Multimodal Image-Guided Interventions. - In Young Ha; Mattias P. Heinrich (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions. - In Young Ha; Matthias Wilms; Heinz Handels; Mattias P. Heinrich (IEEE Trans. Biomed. Eng., 2019)

Semantically Guided Large Deformation Estimation with Deep Networks. - In Young Ha; Matthias Wilms; Mattias P. Heinrich (Sensors, 2020)

Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning. - Mona Schumacher; Daniela Frey; In Young Ha; Ragnar Bade; Andreas Genz; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2021)

Modality-agnostic self-supervised deep feature learning and fast instance optimisation for multimodal fusion in ultrasound-guided interventions. - In Young Ha; Mattias P. Heinrich (Comput. Methods Programs Biomed., 2021)