Alexander Bigalke

Orcid: 0000-0001-7824-5735

According to our database1, Alexander Bigalke authored at least 20 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning.
Sensors, April, 2024

Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding.
Inf., February, 2024

Incorporating Temporal Information into 3D Hand Pose Estimation Using Scene Flow.
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.
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.
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.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Anatomy-guided domain adaptation for 3D in-bed human pose estimation.
Medical Image Anal., October, 2023

Point cloud-based scene flow estimation on realistically deformable objects: A benchmark of deep learning-based methods.
J. Vis. Commun. Image Represent., September, 2023

DG-TTA: Out-of-domain medical image segmentation through Domain Generalization and Test-Time Adaptation.
CoRR, 2023

Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Domain adaptation through anatomical constraints for 3d human pose estimation under the cover.
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.
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.
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.
Int. J. Comput. Assist. Radiol. Surg., 2021

End-to-end Learning of Body Weight Prediction from Point Clouds with Basis Point Sets.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition.
Proceedings of the International Conference on 3D Vision, 2021


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