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2020 – today
- 2024
[j13]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): 2296 (2024)- [c34]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: 39-45 - [c33]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: 60-65 - [c32]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: 101 - [i20]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 abs/2405.19746 (2024) - 2023
- [b1]Lasse Hansen:
Point clouds and keypoint graphs in 3D deep learning for medical image analysis. University of Lübeck, Germany, 2023 - [j12]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): 5197 (2023) - [j11]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): 5153 (2023) - [j10]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:
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83: 102628 (2023) - [j9]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: 102887 (2023) - [j8]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): 2876 (2023) - [j7]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): 697-712 (2023) - [c31]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, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c30]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 - [c29]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 - [c28]Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic:
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. NeurIPS 2023 - [i19]Lasse Hansen, Kenneth C. Enevoldsen:
TextDescriptives: A Python package for calculating a large variety of statistics from text. CoRR abs/2301.02057 (2023) - [i18]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 abs/2301.06916 (2023) - [i17]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.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i16]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) - [i15]Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic:
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. CoRR abs/2310.16981 (2023) - [i14]Kenneth C. Enevoldsen, Lasse Hansen, Dan S. Nielsen, Rasmus A. F. Egebæk, Søren V. Holm, Martin Carsten Nielsen, Martin Bernstorff, Rasmus Larsen, Peter B. Jørgensen, Malte Højmark-Bertelsen, Peter Bjerregaard Vahlstrup, Per Møldrup-Dalum, Kristoffer L. Nielbo:
Danish Foundation Models. CoRR abs/2311.07264 (2023) - 2022
- [j6]Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints. Sensors 22(3): 1107 (2022) - [c27]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: 75-80 - [c26]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: 89-94 - [c25]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: 235-240 - [c24]Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Employing ConvexAdam for BraTS-Reg. BrainLes@MICCAI 2022: 252-261 - [c23]Christian Weihsbach, Lasse Hansen, Mattias P. Heinrich:
XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation. GeoMedIA 2022: 61-71 - [c22]Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich:
Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts. MICCAI (6) 2022: 280-290 - [c21]Fenja Falta, Lasse Hansen, Mattias P. Heinrich:
Learning Iterative Optimisation for Deformable Image Registration of Lung CT with Recurrent Convolutional Networks. MICCAI (6) 2022: 301-309 - [c20]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 - [c19]Mattias P. Heinrich, Lasse Hansen:
Voxelmorph++ - Going Beyond the Cranial Vault with Keypoint Supervision and Multi-channel Instance Optimisation. WBIR 2022: 85-95 - [i13]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 abs/2201.02831 (2022) - [i12]Mattias P. Heinrich, Lasse Hansen:
Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation. CoRR abs/2203.00046 (2022) - [i11]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) - [i10]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) - [i9]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.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j5]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): 2079-2087 (2021) - [j4]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: 101822 (2021) - [j3]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): 2246-2257 (2021) - [c18]Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters. Bildverarbeitung für die Medizin 2021: 111-116 - [c17]Lasse Hansen, Mattias P. Heinrich:
Abstract: Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg Challenge. Bildverarbeitung für die Medizin 2021: 125-126 - [c16]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: 192-197 - [c15]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 - [c14]Kenneth C. Enevoldsen, Lasse Hansen, Kristoffer L. Nielbo:
DaCy: A Unified Framework for Danish NLP. CHR 2021: 206-216 - [c13]Lasse Hansen, Mattias P. Heinrich:
Deep Learning Based Geometric Registration for Medical Images: How Accurate Can We Get Without Visual Features? IPMI 2021: 18-30 - [c12]Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 174-179 - [c11]Lasse Hansen, Mattias P. Heinrich:
Revisiting Iterative Highly Efficient Optimisation Schemes in Medical Image Registration. MICCAI (4) 2021: 203-212 - [i8]Lasse Hansen, Mattias P. Heinrich:
Deep learning based geometric registration for medical images: How accurate can we get without visual features? CoRR abs/2103.00885 (2021) - [i7]Kenneth C. Enevoldsen, Lasse Hansen, Kristoffer Laigaard Nielbo:
DaCy: A Unified Framework for Danish NLP. CoRR abs/2107.05295 (2021) - [i6]Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021. CoRR abs/2112.03053 (2021) - [i5]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 abs/2112.04489 (2021) - 2020
- [j2]Ewa Kristiansen, Emil Krabbe Nielsen, Lasse Hansen, David A. Bourne:
A Novel Strategy for Automatic Error Classification and Error Recovery for Robotic Assembly in Flexible Production. J. Intell. Robotic Syst. 100(3): 863-877 (2020) - [c10]Lasse Hansen, Maximilian Blendowski, Mattias P. Heinrich:
Abstract: Defence of Mathematical Models for Deep Learning based Registration. Bildverarbeitung für die Medizin 2020: 32 - [c9]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: 294-300 - [c8]Lasse Hansen, Mattias P. Heinrich:
Discrete Unsupervised 3D Registration Methods for the Learn2Reg Challenge. MICCAI (Challenges) 2020: 68-73 - [c7]Mattias P. Heinrich, Lasse Hansen:
Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search. MICCAI (3) 2020: 190-200 - [i4]Lasse Hansen, Mattias P. Heinrich:
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings. CoRR abs/2005.13338 (2020) - [i3]Mattias P. Heinrich, Lasse Hansen:
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies. CoRR abs/2005.14107 (2020)
2010 – 2019
- 2019
- [j1]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): 1871-1879 (2019) - [c6]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: 178-183 - [c5]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: 53-61 - [c4]Lasse Hansen, Mattias P. Heinrich:
Sparse Structured Prediction for Semantic Edge Detection in Medical Images. MIDL 2019: 250-259 - [i2]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 abs/1909.07818 (2019) - 2018
- [c3]Lasse Hansen, Jasper Diesel, Mattias P. Heinrich:
Multi-kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. ECCV Workshops (3) 2018: 456-469 - [i1]Lasse Hansen, Jasper Diesel, Mattias P. Heinrich:
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. CoRR abs/1809.05370 (2018) - 2014
- [c2]Emil Krabbe, Ewa Kristiansen, Lasse Hansen, David A. Bourne:
Autonomous optimization of fine motions for robotic assembly. ICRA 2014: 4168-4175 - 2013
- [c1]Lasse Hansen, Simon Pedersen, Zhenyu Yang, Jakob Biltoft:
Recreating Riser Slugging Flow Based on an Economic Lab-Sized Setup. PSYCO 2013: 47-52
Coauthor Index
[j13] [c34] [c33] [c32] [i20] [j10] [j9] [j8] [j7] [c31] [c30] [c29] [i17] [i16] [j6] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i13] [i12] [i11] [i10] [i9] [j5] [j4] [j3] [c18] [c17] [c16] [c15] [c13] [c12] [c11] [i8] [i6] [i5] [c10] [c9] [c8] [c7] [i4] [i3] [j1] [c6] [c5] [c4] [i2] [c3] [i1]
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