Lasse Hansen - RankMe

81 papers A* 4Journal 42Unranked 34

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	3d freehand ultrasound reconstruction by reference-based point cloud registration. Int. J. Comput. Assist. Radiol. Surg. Christoph Großbröhmer, Lasse Hansen, Jürgen Lichtenstein, Ludger Tüshaus, Mattias P. Heinrich
2025	—	`conf`	Abstract: ConvexAdam - Self-configuring Framework for Dual-Optimisation-based 3D Multitask Medical Image Registration. Bildverarbeitung für die Medizin Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2025	—	`conf`	Autocalibration for 3D Ultrasound Reconstruction in Infant Hip Dysplasia Screening. Bildverarbeitung für die Medizin Wiebke Heyer, Christian Weihsbach, Christoph Otte, Jürgen Lichtenstein, Sebastian Lippross, Mattias P. Heinrich, Lasse Hansen
2025	J	`jnl`	Beyond the LUMIR challenge: The pathway to foundational registration models. CoRR Junyu Chen, Shuwen Wei, Joel Honkamaa, Pekka Marttinen, Hang Zhang, Min Liu, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Benedikt Wiestler, Tim Hable, Jin Kim, Dan Ruan, Frederic Madesta, Thilo Sentker, Wiebke Heyer, Lianrui Zuo, Yuwei Dai, Jing Wu, Jerry L. Prince, Harrison X. Bai, Yong Du, Yihao Liu, Alessa Hering, Reuben Dorent, Lasse Hansen, Mattias P. Heinrich, Aaron Carass
2025	J	`jnl`	ConvexAdam: Self-Configuring Dual-Optimization-Based 3D Multitask Medical Image Registration. IEEE Trans. Medical Imaging Hanna Siebert, Christoph Großbröhmer, Lasse Hansen, Mattias P. Heinrich
2025	J	`jnl`	DenseSeg: joint learning for semantic segmentation and landmark detection using dense image-to-shape representation. Int. J. Comput. Assist. Radiol. Surg. Ron Keuth, Lasse Hansen, Maren Balks, Ronja Jäger, Anne-Nele Schröder, Ludger Tüshaus, Mattias P. Heinrich
2025	J	`jnl`	Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges. CoRR Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer, Frederic Madesta, Thilo Sentker, Jiazheng Wang, Yuxi Zhang, Hang Zhang, Min Liu, Junyi Wang, Xi Zhu, Yuhua Li, Liwen Wang, Daniil Morozov, Nazim Haouchine, Joel Honkamaa, Pekka Marttinen, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Christian Wachinger, Jin Kim, Dan Ruan, Marek Wodzinski, Henning Müller, Tony C. W. Mok, Xi Jia, Jinming Duan, Mikael Brudfors, Seyed-Ahmad Ahmadi, Yunzheng Zhu, William Hsu, Tina Kapur, William M. Wells, Alexandra J. Golby, Aaron Carass, Harrison X. Bai, Yihao Liu, Perrine Paul-Gilloteaux, Joakim Lindblad, Natasa Sladoje, Andreas Walter, Junyu Chen, Reuben Dorent, Alessa Hering, Mattias P. Heinrich
2025	J	`jnl`	MMTEB: Massive Multilingual Text Embedding Benchmark. CoRR Kenneth C. Enevoldsen, Isaac Chung, Imene Kerboua, Márton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzeminski, Genta Indra Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Gabriel Sequeira, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Çagatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafal Poswiata, Kranthi Kiran GV, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Philipp Harries, Loïc Magne, Isabelle Mohr, Mariya Hendriksen, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Suppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal A. Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lù, Jordan Clive, Gayatri Krishnakumar, Anna Maksimova, Silvan Wehrli, Maria Tikhonova, Henil Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James V. Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Hongjin Su, Jimmy Lin, Howard Yen, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy, Niklas Muennighoff
2025	J	`jnl`	OncoReg: Medical Image Registration for Oncological Challenges. CoRR Wiebke Heyer, Yannic Elser, Lennart Berkel, Xinrui Song, Xuanang Xu, Pingkun Yan, Xi Jia, Jinming Duan, Zi Li, Tony C. W. Mok, Bowen Li, Christian Staackmann, Christoph Großbröhmer, Lasse Hansen, Alessa Hering, Malte Maria Sieren, Mattias P. Heinrich
2025	—	`conf`	Real-time Landmark Guidance for Radial Head Localization in Ultrasound Imaging. Bildverarbeitung für die Medizin Lennart Meyling, Christoph Großbröhmer, Jürgen Lichtenstein, Mattias P. Heinrich, Lasse Hansen
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`	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	J	`jnl`	DenseSeg: Joint Learning for Semantic Segmentation and Landmark Detection Using Dense Image-to-Shape Representation. CoRR Ron Keuth, Lasse Hansen, Maren Balks, Ronja Jäger, Anne-Nele Schröder, Ludger Tüshaus, Mattias P. Heinrich
2024	—	`conf`	Displacement Representation for Conditional Point Cloud Registration - HeatReg Applied to 2D/3D Freehand Ultrasound Reconstruction. Bildverarbeitung für die Medizin Lasse Hansen, Jürgen Lichtenstein, Mattias P. Heinrich
2024	—	`conf`	Implicit neural obfuscation for privacy preserving medical image sharing. MIDL Mattias P. Heinrich, Lasse Hansen
2024	J	`jnl`	SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation. CoRR Ron Keuth, Lasse Hansen, Maren Balks, Ronja Jäger, Anne-Nele Schröder, Ludger Tüshaus, 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	J	`jnl`	Automated speech- and text-based classification of neuropsychiatric conditions in a multidiagnostic setting. CoRR Lasse Hansen, Roberta Rocca, Arndis Simonsen, Alberto Parola, Vibeke Bliksted, Nicolai Ladegaard, Dan Bang, Kristian Tylén, Ethan Weed, Søren Dinesen Østergaard, Riccardo Fusaroli
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`	CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. 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
2023	J	`jnl`	Danish Foundation Models. CoRR Kenneth C. Enevoldsen, Lasse Hansen, Dan Saattrup Nielsen, Rasmus A. F. Egebæk, Søren Vejlgaard Holm, Martin Carsten Nielsen, Martin Bernstorff, Rasmus Larsen, Peter B. Jørgensen, Malte Højmark-Bertelsen, Peter Bjerregaard Vahlstrup, Per Møldrup-Dalum, Kristoffer L. Nielbo
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 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
2023	—	`—`	Point clouds and keypoint graphs in 3D deep learning for medical image analysis. Lasse Hansen
2023	A*	`conf`	Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. NeurIPS Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic
2023	J	`jnl`	Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. CoRR Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic
2023	J	`jnl`	Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation. Sensors Mattias P. Heinrich, Hanna Siebert, Laura Graf, Sven Mischkewitz, Lasse Hansen
2023	J	`jnl`	TextDescriptives: A Python package for calculating a large variety of metrics from text. J. Open Source Softw. Lasse Hansen, Ludvig Renbo Olsen, Kenneth C. Enevoldsen
2023	J	`jnl`	TextDescriptives: A Python package for calculating a large variety of statistics from text. CoRR Lasse Hansen, Kenneth C. Enevoldsen
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
2023	A*	`conf`	Why is the Winner the Best? CVPR 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, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod 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, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng 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, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2023	J	`jnl`	Why is the winner the best? CoRR 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, Ali 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, et al.
2023	J	`jnl`	timeseriesflattener: A Python package for summarizing features from (medical) time series. J. Open Source Softw. Martin Bernstorff, Kenneth C. Enevoldsen, Jakob Damgaard, Andreas Danielsen, Lasse Hansen
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	J	`jnl`	Biomedical image analysis competitions: The state of current participation practice. CoRR 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, J. 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.
2022	J	`jnl`	CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR 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
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`	Employing ConvexAdam for BraTS-Reg. BrainLes@MICCAI Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2022	—	`conf`	Learning Iterative Optimisation for Deformable Image Registration of Lung CT with Recurrent Convolutional Networks. MICCAI (6) Fenja Falta, Lasse Hansen, Mattias P. Heinrich
2022	J	`jnl`	Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints. Sensors Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2022	—	`conf`	Learning an Airway Atlas from Lung CT Using Semantic Inter-patient Deformable Registration. Bildverarbeitung für die Medizin Fenja Falta, Lasse Hansen, Marian Himstedt, Mattias P. Heinrich
2022	—	`conf`	Spatiotemporal Attention for Realtime Segmentation of Corrupted Sequential Ultrasound Data - Improving Usability of AI-based Image Guidance. Bildverarbeitung für die Medizin Laura Graf, Sven Mischkewitz, Lasse Hansen, 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
2022	—	`conf`	Voxelmorph++ - Going Beyond the Cranial Vault with Keypoint Supervision and Multi-channel Instance Optimisation. WBIR Mattias P. Heinrich, Lasse Hansen
2022	J	`jnl`	Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation. CoRR Mattias P. Heinrich, Lasse Hansen
2022	—	`conf`	XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation. GeoMedIA Christian Weihsbach, Lasse Hansen, Mattias P. Heinrich
2021	—	`conf`	Abstract: Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg Challenge. Bildverarbeitung für die Medizin Lasse Hansen, Mattias P. Heinrich
2021	—	`conf`	DaCy: A Unified Framework for Danish NLP. CHR Kenneth C. Enevoldsen, Lasse Hansen, Kristoffer L. Nielbo
2021	J	`jnl`	DaCy: A Unified Framework for Danish NLP. CoRR Kenneth C. Enevoldsen, Lasse Hansen, Kristoffer Laigaard Nielbo
2021	—	`conf`	Deep Learning Based Geometric Registration for Medical Images: How Accurate Can We Get Without Visual Features? IPMI Lasse Hansen, Mattias P. Heinrich
2021	J	`jnl`	Deep learning based geometric registration for medical images: How accurate can we get without visual features? CoRR Lasse Hansen, 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`	Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters. Bildverarbeitung für die Medizin Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2021	—	`conf`	Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021. MIDOG/MOOD/Learn2Reg@MICCAI Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2021	J	`jnl`	Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021. CoRR Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2021	J	`jnl`	GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs. IEEE Trans. Medical Imaging Lasse Hansen, Mattias P. Heinrich
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR 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
2021	—	`conf`	Multi-modal Unsupervised Domain Adaptation for Deformable Registration Based on Maximum Classifier Discrepancy. Bildverarbeitung für die Medizin Christian N. Kruse, Lasse Hansen, Mattias P. Heinrich
2021	—	`conf`	Revisiting Iterative Highly Efficient Optimisation Schemes in Medical Image Registration. MICCAI (4) Lasse Hansen, 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
2021	J	`jnl`	Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration. Medical Image Anal. Max Blendowski, Lasse Hansen, Mattias P. Heinrich
2020	J	`jnl`	A Novel Strategy for Automatic Error Classification and Error Recovery for Robotic Assembly in Flexible Production. J. Intell. Robotic Syst. Ewa Kristiansen, Emil Krabbe Nielsen, Lasse Hansen, David A. Bourne
2020	—	`conf`	Abstract: Defence of Mathematical Models for Deep Learning based Registration. Bildverarbeitung für die Medizin Lasse Hansen, Maximilian Blendowski, Mattias P. Heinrich
2020	—	`conf`	Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung. Bildverarbeitung für die Medizin Ron Keuth, Lasse Hansen, Mattias P. Heinrich
2020	—	`conf`	Discrete Unsupervised 3D Registration Methods for the Learn2Reg Challenge. MICCAI (Challenges) Lasse Hansen, Mattias P. Heinrich
2020	—	`conf`	Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search. MICCAI (3) Mattias P. Heinrich, Lasse Hansen
2020	J	`jnl`	Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings. CoRR Lasse Hansen, Mattias P. Heinrich
2020	J	`jnl`	Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies. CoRR Mattias P. Heinrich, Lasse Hansen
2019	J	`jnl`	Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room. Int. J. Comput. Assist. Radiol. Surg. Lasse Hansen, Marlin Siebert, Jasper Diesel, Mattias P. Heinrich
2019	—	`conf`	Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients. GLMI@MICCAI Lasse Hansen, Doris Dittmer, Mattias P. Heinrich
2019	J	`jnl`	Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients. CoRR Lasse Hansen, Doris Dittmer, Mattias P. Heinrich
2019	—	`conf`	Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room. Bildverarbeitung für die Medizin Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
2019	—	`conf`	Sparse Structured Prediction for Semantic Edge Detection in Medical Images. MIDL Lasse Hansen, Mattias P. Heinrich
2018	J	`jnl`	Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. CoRR Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
2018	—	`conf`	Multi-kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. ECCV Workshops (3) Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
2014	A*	`conf`	Autonomous optimization of fine motions for robotic assembly. ICRA Emil Krabbe, Ewa Kristiansen, Lasse Hansen, David A. Bourne
2013	—	`conf`	Recreating Riser Slugging Flow Based on an Economic Lab-Sized Setup. PSYCO Lasse Hansen, Simon Pedersen, Zhenyu Yang, Jakob Biltoft