Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition. - Alexander Bigalke; Mattias P. Heinrich (3DV, 2021)

End-to-end Learning of Body Weight Prediction from Point Clouds with Basis Point Sets. - Alexander Bigalke; Lasse Hansen; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2021)

Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients. - Alexander Bigalke; Lasse Hansen; Jasper Diesel; Mattias P. Heinrich (Int. J. Comput. Assist. Radiol. Surg., 2021)

Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation. - Niklas Hermes; Lasse Hansen; Alexander Bigalke; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2022)

Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts. - Alexander Bigalke; Lasse Hansen; Mattias P. Heinrich (MICCAI (6), 2022)

Domain adaptation through anatomical constraints for 3d human pose estimation under the cover. - Alexander Bigalke; Lasse Hansen; Jasper Diesel; Mattias P. Heinrich (MIDL, 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)

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)

A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration. - Alexander Bigalke; Mattias P. Heinrich (MICCAI (10), 2023)

Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training. - Alexander Bigalke; Lasse Hansen; Tony C. W. Mok; Mattias P. Heinrich (MICCAI (10), 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)

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)

Point cloud-based scene flow estimation on realistically deformable objects: A benchmark of deep learning-based methods. - Niklas Hermes; Alexander Bigalke; Mattias P. Heinrich (J. Vis. Commun. Image Represent., 2023)

Anatomy-guided domain adaptation for 3D in-bed human pose estimation. - Alexander Bigalke; Lasse Hansen; Jasper Diesel; Carlotta Hennigs; Philipp Rostalski; Mattias P. Heinrich (Medical Image Anal., 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)

Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN. - Paul Kaftan; Mattias P. Heinrich; Lasse Hansen; Volker Rasche; Hans A. Kestler; Alexander Bigalke (Bildverarbeitung für die Medizin, 2024)

Incorporating Temporal Information into 3D Hand Pose Estimation Using Scene Flow. - Niklas Hermes; Alexander Bigalke; Mattias P. Heinrich (VISIGRAPP (4): VISAPP, 2024)

Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding. - Hellena Hempe; Alexander Bigalke; Mattias Paul Heinrich (Inf., 2024)

AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning. - Christian Weihsbach; Nora Vogt; Ziad Al-Haj Hemidi; Alexander Bigalke; Lasse Hansen; Julien Oster; Mattias P. Heinrich (Sensors, 2024)

Sparse keypoint segmentation of lung fissures: efficient geometric deep learning for abstracting volumetric images. - Paul Kaftan; Mattias P. Heinrich; Lasse Hansen; Volker Rasche; Hans A. Kestler; Alexander Bigalke (Int. J. Comput. Assist. Radiol. Surg., 2025)