Alexander Bigalke

26 papers A* 2Journal 12Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Sparse keypoint segmentation of lung fissures: efficient geometric deep learning for abstracting volumetric images. Int. J. Comput. Assist. Radiol. Surg. Paul Kaftan, Mattias P. Heinrich, Lasse Hansen, Volker Rasche, Hans A. Kestler, Alexander Bigalke
2024	—	`conf`	Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds - Chasing Clouds. Bildverarbeitung für die Medizin Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen
2024	—	`conf`	Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B. Bildverarbeitung für die Medizin Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias P. Heinrich
2024	—	`conf`	Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN. Bildverarbeitung für die Medizin Paul Kaftan, Mattias P. Heinrich, Lasse Hansen, Volker Rasche, Hans A. Kestler, Alexander Bigalke
2024	J	`jnl`	AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning. Sensors Christian Weihsbach, Nora Vogt, Ziad Al-Haj Hemidi, Alexander Bigalke, Lasse Hansen, Julien Oster, Mattias P. Heinrich
2024	—	`conf`	Incorporating Temporal Information into 3D Hand Pose Estimation Using Scene Flow. VISIGRAPP (4): VISAPP Niklas Hermes, Alexander Bigalke, Mattias P. Heinrich
2024	J	`jnl`	Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding. Inf. Hellena Hempe, Alexander Bigalke, Mattias Paul Heinrich
2023	—	`conf`	A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration. MICCAI (10) Alexander Bigalke, Mattias P. Heinrich
2023	J	`jnl`	A denoised Mean Teacher for domain adaptive point cloud registration. CoRR Alexander Bigalke, Mattias P. Heinrich
2023	J	`jnl`	Anatomy-guided domain adaptation for 3D in-bed human pose estimation. Medical Image Anal. Alexander Bigalke, Lasse Hansen, Jasper Diesel, Carlotta Hennigs, Philipp Rostalski, Mattias P. Heinrich
2023	A*	`conf`	Chasing clouds: Differentiable volumetric rasterisation of point clouds as a highly efficient and accurate loss for large-scale deformable 3D registration. ICCV Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen
2023	J	`jnl`	DG-TTA: Out-of-domain medical image segmentation through Domain Generalization and Test-Time Adaptation. CoRR Christian Weihsbach, Christian N. Kruse, Alexander Bigalke, Mattias P. Heinrich
2023	A*	`conf`	Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration. NeurIPS Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias P. Heinrich
2023	J	`jnl`	Point cloud-based scene flow estimation on realistically deformable objects: A benchmark of deep learning-based methods. J. Vis. Commun. Image Represent. Niklas Hermes, Alexander Bigalke, Mattias P. Heinrich
2023	J	`jnl`	Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding. CoRR Hellena Hempe, Alexander Bigalke, Mattias P. Heinrich
2023	—	`conf`	Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training. MICCAI (10) Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
2023	J	`jnl`	Unsupervised 3D registration through optimization-guided cyclical self-training. CoRR Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
2022	—	`conf`	Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts. MICCAI (6) Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
2022	J	`jnl`	Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts. CoRR Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
2022	J	`jnl`	Anatomy-guided domain adaptation for 3D in-bed human pose estimation. CoRR Alexander Bigalke, Lasse Hansen, Jasper Diesel, Carlotta Hennigs, Philipp Rostalski, Mattias P. Heinrich
2022	—	`conf`	DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation. WBIR Christian Weihsbach, Alexander Bigalke, Christian N. Kruse, Hellena Hempe, Mattias P. Heinrich
2022	—	`conf`	Domain adaptation through anatomical constraints for 3d human pose estimation under the cover. MIDL Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
2022	—	`conf`	Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation. Bildverarbeitung für die Medizin Niklas Hermes, Lasse Hansen, Alexander Bigalke, Mattias P. Heinrich
2021	—	`conf`	End-to-end Learning of Body Weight Prediction from Point Clouds with Basis Point Sets. Bildverarbeitung für die Medizin Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
2021	—	`conf`	Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition. 3DV Alexander Bigalke, Mattias P. Heinrich
2021	J	`jnl`	Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients. Int. J. Comput. Assist. Radiol. Surg. Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich