Alexander Bigalke

According to our database, Alexander Bigalke authored at least 20 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, April, 2024

Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding.

Hellena Hempe, Alexander Bigalke, Mattias Paul Heinrich

Inf., February, 2024

Incorporating Temporal Information into 3D Hand Pose Estimation Using Scene Flow.

Niklas Hermes, Alexander Bigalke, Mattias P. Heinrich

Proceedings of the 19th International Joint Conference on Computer Vision, 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

Proceedings of the Bildverarbeitung für die Medizin 2024, 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

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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., October, 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., September, 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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training.

Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration.

Alexander Bigalke, Mattias P. Heinrich

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation.

Christian Weihsbach, Alexander Bigalke, Christian N. Kruse, Hellena Hempe, Mattias P. Heinrich

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Domain adaptation through anatomical constraints for 3d human pose estimation under the cover.

Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts.

Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation.

Niklas Hermes, Lasse Hansen, Alexander Bigalke, Mattias P. Heinrich

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

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

End-to-end Learning of Body Weight Prediction from Point Clouds with Basis Point Sets.

Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition.

Alexander Bigalke, Mattias P. Heinrich

Proceedings of the International Conference on 3D Vision, 2021