Lasse Hansen
Orcid: 0000-0003-3963-7052
According to our database1,
Lasse Hansen
authored at least 56 papers
between 2013 and 2024.
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Bibliography
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
Displacement Representation for Conditional Point Cloud Registration - HeatReg Applied to 2D/3D Freehand Ultrasound Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
Medical Image Anal., October, 2023
TextDescriptives: A Python package for calculating a large variety of metrics from text.
J. Open Source Softw., June, 2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023
Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation.
Sensors, March, 2023
timeseriesflattener: A Python package for summarizing features from (medical) time series.
J. Open Source Softw., March, 2023
PhD thesis, 2023
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023
Automated speech- and text-based classification of neuropsychiatric conditions in a multidiagnostic setting.
CoRR, 2023
TextDescriptives: A Python package for calculating a large variety of statistics from text.
CoRR, 2023
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints.
Sensors, 2022
CoRR, 2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022
Voxelmorph++ - Going Beyond the Cranial Vault with Keypoint Supervision and Multi-channel Instance Optimisation.
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
Learning Iterative Optimisation for Deformable Image Registration of Lung CT with Recurrent Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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
XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
Spatiotemporal Attention for Realtime Segmentation of Corrupted Sequential Ultrasound Data - Improving Usability of AI-based Image Guidance.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
Learning an Airway Atlas from Lung CT Using Semantic Inter-patient Deformable Registration.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
2021
GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs.
IEEE Trans. Medical Imaging, 2021
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration.
Medical Image Anal., 2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 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
Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021.
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021
Revisiting Iterative Highly Efficient Optimisation Schemes in Medical Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Deep Learning Based Geometric Registration for Medical Images: How Accurate Can We Get Without Visual Features?
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the Conference on Computational Humanities Research, 2021
Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
Multi-modal Unsupervised Domain Adaptation for Deformable Registration Based on Maximum Classifier Discrepancy.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
Abstract: Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg Challenge.
Proceedings of the Bildverarbeitung für die Medizin 2021, 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
2020
A Novel Strategy for Automatic Error Classification and Error Recovery for Robotic Assembly in Flexible Production.
J. Intell. Robotic Syst., 2020
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies.
CoRR, 2020
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings.
CoRR, 2020
Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020
Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
2019
Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room.
Int. J. Comput. Assist. Radiol. Surg., 2019
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
2014
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
2013
Proceedings of the 5th IFAC International Workshop on Periodic Control Systems, 2013