Alexander Bigalke

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 25

Top Topics

Top Venues

Bildverarbeitung für die Medizin

Publications

Christian Weihsbach, Nora Vogt, Ziad Al-Haj Hemidi, Alexander Bigalke, Lasse Hansen, Julien Oster, Mattias P. Heinrich
AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning. Sensors 24 (7) (2024)
Niklas Hermes, Alexander Bigalke, Mattias P. Heinrich
Incorporating Temporal Information into 3D Hand Pose Estimation Using Scene Flow. VISIGRAPP (4): VISAPP (2024)
Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen
Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds - Chasing Clouds. Bildverarbeitung für die Medizin (2024)
Hellena Hempe, Alexander Bigalke, Mattias Paul Heinrich
Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding. Inf. 15 (2) (2024)
Paul Kaftan, Mattias P. Heinrich, Lasse Hansen, Volker Rasche, Hans A. Kestler, Alexander Bigalke
Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN. Bildverarbeitung für die Medizin (2024)
Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias P. Heinrich
Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B. Bildverarbeitung für die Medizin (2024)
Alexander Bigalke, Lasse Hansen, Jasper Diesel, Carlotta Hennigs, Philipp Rostalski, Mattias P. Heinrich
Anatomy-guided domain adaptation for 3D in-bed human pose estimation. Medical Image Anal. 89 (2023)
Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias P. Heinrich
Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration. NeurIPS (2023)
Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
Unsupervised 3D registration through optimization-guided cyclical self-training. CoRR (2023)
Niklas Hermes, Alexander Bigalke, Mattias P. Heinrich
Point cloud-based scene flow estimation on realistically deformable objects: A benchmark of deep learning-based methods. J. Vis. Commun. Image Represent. 95 (2023)
Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen
Chasing clouds: Differentiable volumetric rasterisation of point clouds as a highly efficient and accurate loss for large-scale deformable 3D registration. ICCV (2023)
Alexander Bigalke, Mattias P. Heinrich
A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration. MICCAI (10) (2023)
Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training. MICCAI (10) (2023)
Alexander Bigalke, Mattias P. Heinrich
A denoised Mean Teacher for domain adaptive point cloud registration. CoRR (2023)
Hellena Hempe, Alexander Bigalke, Mattias P. Heinrich
Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding. CoRR (2023)
Christian Weihsbach, Christian N. Kruse, Alexander Bigalke, Mattias P. Heinrich
DG-TTA: Out-of-domain medical image segmentation through Domain Generalization and Test-Time Adaptation. CoRR (2023)
Alexander Bigalke, Lasse Hansen, Jasper Diesel, Carlotta Hennigs, Philipp Rostalski, Mattias P. Heinrich
Anatomy-guided domain adaptation for 3D in-bed human pose estimation. CoRR (2022)
Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
Domain adaptation through anatomical constraints for 3d human pose estimation under the cover. MIDL (2022)
Christian Weihsbach, Alexander Bigalke, Christian N. Kruse, Hellena Hempe, Mattias P. Heinrich
DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation. WBIR (2022)
Niklas Hermes, Lasse Hansen, Alexander Bigalke, Mattias P. Heinrich
Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation. Bildverarbeitung für die Medizin (2022)
Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts. CoRR (2022)
Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts. MICCAI (6) (2022)
Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
End-to-end Learning of Body Weight Prediction from Point Clouds with Basis Point Sets. Bildverarbeitung für die Medizin (2021)
Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients. Int. J. Comput. Assist. Radiol. Surg. 16 (12) (2021)
Alexander Bigalke, Mattias P. Heinrich
Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition. 3DV (2021)