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Alexander Bigalke
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2020 – today
- 2025
- [j6]Paul Kaftan
, Mattias P. Heinrich, Lasse Hansen, Volker Rasche, Hans A. Kestler
Sparse keypoint segmentation of lung fissures: efficient geometric deep learning for abstracting volumetric images. Int. J. Comput. Assist. Radiol. Surg. 20(3): 465-473 (2025) - 2024
- [j5]Hellena Hempe
Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding. Inf. 15(2): 120 (2024) - [j4]Christian Weihsbach
AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning. Sensors 24(7): 2296 (2024) - [c14]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: 53 - [c13]Paul Kaftan
Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN. Bildverarbeitung für die Medizin 2024: 60-65 - [c12]Mattias P. Heinrich
Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds - Chasing Clouds. Bildverarbeitung für die Medizin 2024: 101 - [c11]Niklas Hermes, Alexander Bigalke, Mattias P. Heinrich:
Incorporating Temporal Information into 3D Hand Pose Estimation Using Scene Flow. VISIGRAPP (4): VISAPP 2024: 286-294 - 2023
- [j3]Niklas Hermes
Point cloud-based scene flow estimation on realistically deformable objects: A benchmark of deep learning-based methods. J. Vis. Commun. Image Represent. 95: 103893 (2023) - [j2]Alexander Bigalke
Anatomy-guided domain adaptation for 3D in-bed human pose estimation. Medical Image Anal. 89: 102887 (2023) - [c10]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: 7992-8002 - [c9]Alexander Bigalke
A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration. MICCAI (10) 2023: 666-676 - [c8]Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich:
Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training. MICCAI (10) 2023: 677-687 - [c7]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 - [i6]Alexander Bigalke, Mattias P. Heinrich:
A denoised Mean Teacher for domain adaptive point cloud registration. CoRR abs/2306.14749 (2023) - [i5]Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich:
Unsupervised 3D registration through optimization-guided cyclical self-training. CoRR abs/2306.16997 (2023) - [i4]Hellena Hempe, Alexander Bigalke, Mattias P. Heinrich:
Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding. CoRR abs/2312.05220 (2023) - [i3]Christian Weihsbach
DG-TTA: Out-of-domain medical image segmentation through Domain Generalization and Test-Time Adaptation. CoRR abs/2312.06275 (2023) - 2022
- [c6]Niklas Hermes
Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation. Bildverarbeitung für die Medizin 2022: 89-94 - [c5]Alexander Bigalke
Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts. MICCAI (6) 2022: 280-290 - [c4]Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich:
Domain adaptation through anatomical constraints for 3d human pose estimation under the cover. MIDL 2022: 173-187 - [c3]Christian Weihsbach
DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation. WBIR 2022: 37-46 - [i2]Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich:
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts. CoRR abs/2207.00371 (2022) - [i1]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 abs/2211.12193 (2022) - 2021
- [j1]Alexander Bigalke
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): 2079-2087 (2021) - [c2]Alexander Bigalke, Mattias P. Heinrich:
Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition. 3DV 2021: 617-626 - [c1]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: 254-259
Coauthor Index
aka: Mattias Paul Heinrich
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