Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

Employing ConvexAdam for BraTS-Reg. - Christoph Großbröhmer; Hanna Siebert; Lasse Hansen; Mattias P. Heinrich (BrainLes@MICCAI, 2022)

Leveraging Semantic Information for Sonographic Wrist Fracture Assessment Within Children. - Christoph Großbröhmer; Luisa Bartram; Corinna Rheinbay; Mattias P. Heinrich; Ludger Tüshaus (Bildverarbeitung für die Medizin, 2023)

Chasing clouds: Differentiable volumetric rasterisation of point clouds as a highly efficient and accurate loss for large-scale deformable 3D registration. - Mattias P. Heinrich; Alexander Bigalke; Christoph Großbröhmer; Lasse Hansen (ICCV, 2023)

Generalised 3D Medical Image Registration with Learned Shape Encodings. - Christoph Großbröhmer; Mattias P. Heinrich (MIUA, 2023)

Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration. - Fenja Falta; Christoph Großbröhmer; Alessa Hering; Alexander Bigalke; Mattias P. Heinrich (NeurIPS, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B. - Fenja Falta; Christoph Großbröhmer; Alessa Hering; Alexander Bigalke; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2024)

Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds - Chasing Clouds. - Mattias P. Heinrich; Alexander Bigalke; Christoph Großbröhmer; Lasse Hansen (Bildverarbeitung für die Medizin, 2024)

Unleashing Registration: Diffusion Models for Synthetic Paired 3D Training Data. - Fenja Falta; Wiebke Heyer; Christoph Großbröhmer; Mattias P. Heinrich (WBIR, 2024)

SINA: Sharp Implicit Neural Atlases by Joint Optimisation of Representation and Deformation. - Christoph Großbröhmer; Ziad Al-Haj Hemidi; Fenja Falta; Mattias P. Heinrich (WBIR, 2024)

Robust Statistical Shape Modelling with Implicit Neural Representations. - Christoph Großbröhmer; Fenja Falta; Ron Keuth; Timo Kepp; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2025)

Abstract: ConvexAdam - Self-configuring Framework for Dual-Optimisation-based 3D Multitask Medical Image Registration. - Christoph Großbröhmer; Hanna Siebert; Lasse Hansen; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2025)

Real-time Landmark Guidance for Radial Head Localization in Ultrasound Imaging. - Lennart Meyling; Christoph Großbröhmer; Jürgen Lichtenstein; Mattias P. Heinrich; Lasse Hansen (Bildverarbeitung für die Medizin, 2025)

ConvexAdam: Self-Configuring Dual-Optimization-Based 3D Multitask Medical Image Registration. - Hanna Siebert; Christoph Großbröhmer; Lasse Hansen; Mattias P. Heinrich (IEEE Trans. Medical Imaging, 2025)

3d freehand ultrasound reconstruction by reference-based point cloud registration. - Christoph Großbröhmer; Lasse Hansen; Jürgen Lichtenstein; Ludger Tüshaus; Mattias P. Heinrich (Int. J. Comput. Assist. Radiol. Surg., 2025)

OncoReg: Medical Image Registration for Oncological Challenges. - Wiebke Heyer; Yannic Elser; Lennart Berkel; Xinrui Song; Xuanang Xu; Pingkun Yan; Xi Jia; Jinming Duan 001; Zi Li; Tony C. W. Mok; Bowen Li; Christian Staackmann; et al. (CoRR, 2025)