Lasse Hansen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 65

Top Topics

Image Registration

Top Venues

Bildverarbeitung für die Medizin

Medical Image Anal.

Publications

Lasse Hansen, Jürgen Lichtenstein, Mattias P. Heinrich
Displacement Representation for Conditional Point Cloud Registration - HeatReg Applied to 2D/3D Freehand Ultrasound Reconstruction. Bildverarbeitung für die Medizin (2024)
Christian Weihsbach, Nora Vogt, Ziad Al-Haj Hemidi, Alexander Bigalke, Lasse Hansen, Julien Oster, Mattias P. Heinrich
AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning. Sensors 24 (7) (2024)
Ron Keuth, Lasse Hansen, Maren Balks, Ronja Jäger, Anne-Nele Schröder, Ludger Tüshaus, Mattias P. Heinrich
DenseSeg: Joint Learning for Semantic Segmentation and Landmark Detection Using Dense Image-to-Shape Representation. CoRR (2024)
Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen
Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds - Chasing Clouds. Bildverarbeitung für die Medizin (2024)
Paul Kaftan, Mattias P. Heinrich, Lasse Hansen, Volker Rasche, Hans A. Kestler, Alexander Bigalke
Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN. Bildverarbeitung für die Medizin (2024)
Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. CoRR (2023)
Alexander Bigalke, Lasse Hansen, Jasper Diesel, Carlotta Hennigs, Philipp Rostalski, Mattias P. Heinrich
Anatomy-guided domain adaptation for 3D in-bed human pose estimation. Medical Image Anal. 89 (2023)
Lasse Hansen, Kenneth C. Enevoldsen
TextDescriptives: A Python package for calculating a large variety of statistics from text. CoRR (2023)
Kenneth C. Enevoldsen, Lasse Hansen, Dan S. Nielsen, Rasmus A. F. Egebæk, Søren V. Holm, Martin C. Nielsen, Martin Bernstorff, Rasmus Larsen, Peter B. Jørgensen, Malte Højmark-Bertelsen, Peter Bjerregaard Vahlstrup, Per Møldrup-Dalum, Kristoffer L. Nielbo
Danish Foundation Models. CoRR (2023)
Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
Unsupervised 3D registration through optimization-guided cyclical self-training. CoRR (2023)
Lasse Hansen, Ludvig Renbo Olsen, Kenneth C. Enevoldsen
TextDescriptives: A Python package for calculating a large variety of metrics from text. J. Open Source Softw. 8 (86) (2023)
Martin Bernstorff, Kenneth C. Enevoldsen, Jakob Damgaard, Andreas Danielsen, Lasse Hansen
timeseriesflattener: A Python package for summarizing features from (medical) time series. J. Open Source Softw. 8 (83) (2023)
Lasse Hansen, Roberta Rocca, Arndis Simonsen, Alberto Parola, Vibeke Bliksted, Nicolai Ladegaard, Dan Bang, Kristian Tylén, Ethan Weed, Søren Dinesen Østergaard, Riccardo Fusaroli
Automated speech- and text-based classification of neuropsychiatric conditions in a multidiagnostic setting. CoRR (2023)
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)
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83 (2023)
Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training. MICCAI (10) (2023)
Mattias P. Heinrich, Hanna Siebert, Laura Graf, Sven Mischkewitz, Lasse Hansen
Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation. Sensors 23 (6) (2023)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, M. Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, B. Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, N. Saeed, Adam Shephard, P. Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
Why is the Winner the Best? CVPR (2023)
Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. NeurIPS (2023)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.
Why is the winner the best? CoRR (2023)
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42 (3) (2023)
Fenja Falta, Lasse Hansen, Mattias P. Heinrich
Learning Iterative Optimisation for Deformable Image Registration of Lung CT with Recurrent Convolutional Networks. MICCAI (6) (2022)
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR (2022)
Mattias P. Heinrich, Lasse Hansen
Voxelmorph++ - Going Beyond the Cranial Vault with Keypoint Supervision and Multi-channel Instance Optimisation. WBIR (2022)
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 (2022)
Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
Domain adaptation through anatomical constraints for 3d human pose estimation under the cover. MIDL (2022)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.
Biomedical image analysis competitions: The state of current participation practice. CoRR (2022)
Laura Graf, Sven Mischkewitz, Lasse Hansen, Mattias P. Heinrich
Spatiotemporal Attention for Realtime Segmentation of Corrupted Sequential Ultrasound Data - Improving Usability of AI-based Image Guidance. Bildverarbeitung für die Medizin (2022)
Niklas Hermes, Lasse Hansen, Alexander Bigalke, Mattias P. Heinrich
Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation. Bildverarbeitung für die Medizin (2022)
Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts. CoRR (2022)
Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts. MICCAI (6) (2022)
Mattias P. Heinrich, Lasse Hansen
Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation. CoRR (2022)
Fenja Falta, Lasse Hansen, Marian Himstedt, Mattias P. Heinrich
Learning an Airway Atlas from Lung CT Using Semantic Inter-patient Deformable Registration. Bildverarbeitung für die Medizin (2022)
Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Employing ConvexAdam for BraTS-Reg. BrainLes@MICCAI (2022)
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints. Sensors 22 (3) (2022)
Christian Weihsbach, Lasse Hansen, Mattias P. Heinrich
XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation. GeoMedIA (2022)
Lasse Hansen, Mattias P. Heinrich
GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs. IEEE Trans. Medical Imaging 40 (9) (2021)
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)
Lasse Hansen, Mattias P. Heinrich
Abstract: Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg Challenge. Bildverarbeitung für die Medizin (2021)
Max Blendowski, Lasse Hansen, Mattias P. Heinrich
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration. Medical Image Anal. 67 (2021)
Lasse Hansen, Mattias P. Heinrich
Deep learning based geometric registration for medical images: How accurate can we get without visual features? CoRR (2021)
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Lasse Hansen, Mattias P. Heinrich
Revisiting Iterative Highly Efficient Optimisation Schemes in Medical Image Registration. MICCAI (4) (2021)
Kenneth C. Enevoldsen, Lasse Hansen, Kristoffer L. Nielbo
DaCy: A Unified Framework for Danish NLP. CHR (2021)
Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
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) (2021)
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR (2021)
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters. Bildverarbeitung für die Medizin (2021)
Christian N. Kruse, Lasse Hansen, Mattias P. Heinrich
Multi-modal Unsupervised Domain Adaptation for Deformable Registration Based on Maximum Classifier Discrepancy. Bildverarbeitung für die Medizin (2021)
Kenneth C. Enevoldsen, Lasse Hansen, Kristoffer Laigaard Nielbo
DaCy: A Unified Framework for Danish NLP. CoRR (2021)
Lasse Hansen, Mattias P. Heinrich
Deep Learning Based Geometric Registration for Medical Images: How Accurate Can We Get Without Visual Features? IPMI (2021)
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021. CoRR (2021)
Ewa Kristiansen, Emil Krabbe Nielsen, Lasse Hansen, David Bourne
A Novel Strategy for Automatic Error Classification and Error Recovery for Robotic Assembly in Flexible Production. J. Intell. Robotic Syst. 100 (3) (2020)
Lasse Hansen, Mattias P. Heinrich
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings. CoRR (2020)
Ron Keuth, Lasse Hansen, Mattias P. Heinrich
Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung. Bildverarbeitung für die Medizin (2020)
Mattias P. Heinrich, Lasse Hansen
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies. CoRR (2020)
Lasse Hansen, Maximilian Blendowski, Mattias P. Heinrich
Abstract: Defence of Mathematical Models for Deep Learning based Registration. Bildverarbeitung für die Medizin (2020)
Mattias P. Heinrich, Lasse Hansen
Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search. MICCAI (3) (2020)
Lasse Hansen, Mattias P. Heinrich
Discrete Unsupervised 3D Registration Methods for the Learn2Reg Challenge. MICCAI (Challenges) (2020)
Lasse Hansen, Marlin Siebert, Jasper Diesel, Mattias P. Heinrich
Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room. Int. J. Comput. Assist. Radiol. Surg. 14 (11) (2019)
Lasse Hansen, Doris Dittmer, Mattias P. Heinrich
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients. CoRR (2019)
Lasse Hansen, Doris Dittmer, Mattias P. Heinrich
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients. GLMI@MICCAI (2019)
Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room. Bildverarbeitung für die Medizin (2019)
Lasse Hansen, Mattias P. Heinrich
Sparse Structured Prediction for Semantic Edge Detection in Medical Images. MIDL (2019)
Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
Multi-kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. ECCV Workshops (3) (2018)
Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. CoRR (2018)
Emil Krabbe, Ewa Kristiansen, Lasse Hansen, David Bourne
Autonomous optimization of fine motions for robotic assembly. ICRA (2014)
Lasse Hansen, Simon Pedersen, Zhenyu Yang, Jakob Biltoft
Recreating Riser Slugging Flow Based on an Economic Lab-Sized Setup. PSYCO (2013)