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2020 – today
- 2023
[j52]Zhongfeng Kang
, Mads Nielsen, Bo Yang, Lihui Deng, Stephan Sloth Lorenzen:
Online transfer learning with partial feedback. Expert Syst. Appl. 212: 118738 (2023)- [j51]Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa Mehdipour-Ghazi:
Partial feedback online transfer learning with multi-source domains. Inf. Fusion 89: 29-40 (2023) - [c123]Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19. ISBI 2023: 1-4 - [c122]Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Mads Nielsen, Eike Petersen, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen:
Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. ASMUS@MICCAI 2023: 57-67 - [c121]Ji Wu, Zhongfeng Kang, Sebastian Nørgaard Llambias, Mostafa Mehdipour-Ghazi, Mads Nielsen:
Active Transfer Learning for 3D Hippocampus Segmentation. MILLanD@MICCAI 2023: 224-234 - [c120]William Michael Laprade, Jesper Cairo Westergaard, Jon Nielsen, Mads Nielsen, Anders Bjorholm Dahl:
An Analysis of Spatial-Spectral Dependence in Hyperspectral Autoencoders. SCIA (2) 2023: 191-202 - [i23]Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19. CoRR abs/2301.09322 (2023) - [i22]Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging. CoRR abs/2308.04395 (2023) - 2022
- [j50]Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang:
A buffered online transfer learning algorithm with multi-layer network. Neurocomputing 488: 581-597 (2022) - [c119]Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen:
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. ICLR 2022 - [c118]Jon Middleton, Marko Bauer, Jacob Johansen, Mads Nielsen, Stefan Sommer, Akshay Pai:
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders. MAD@MICCAI 2022: 49-58 - [i21]Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso:
Augmentation based unsupervised domain adaptation. CoRR abs/2202.11486 (2022) - [i20]Mostafa Mehdipour-Ghazi, Mads Nielsen:
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain. CoRR abs/2208.14360 (2022) - [i19]Andreas D. Lauritzen, My Catarina von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm:
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk. CoRR abs/2212.13439 (2022) - 2021
- [j49]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
Robust parametric modeling of Alzheimer's disease progression. NeuroImage 225: 117460 (2021) - [e11]Aasa Feragen, Stefan Sommer, Julia A. Schnabel, Mads Nielsen:
Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Virtual Event, June 28-June 30, 2021, Proceedings. Lecture Notes in Computer Science 12729, Springer 2021, ISBN 978-3-030-78190-3 [contents] - [i18]Svetlana Kutuzova, Oswin Krause, Douglas McCloskey, Mads Nielsen, Christian Igel:
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts. CoRR abs/2101.07240 (2021) - [i17]Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen:
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data. CoRR abs/2104.03739 (2021) - [i16]Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen:
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. CoRR abs/2106.12912 (2021) - 2020
- [j48]Hayit Greenspan, Raúl San José Estépar, Wiro J. Niessen, Eliot L. Siegel, Mads Nielsen:
Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare. Medical Image Anal. 66: 101800 (2020) - [i15]Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai:
Lung Segmentation from Chest X-rays using Variational Data Imputation. CoRR abs/2005.10052 (2020)
2010 – 2019
- 2019
- [j47]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. Medical Image Anal. 53: 39-46 (2019) - [j46]Jens Petersen, Andrés M. Arias Lorza, Raghavendra Selvan, Daniel Bos, Aad van der Lugt, Jesper Johannes Holst Pedersen, Mads Nielsen, Marleen de Bruijne:
Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies. IEEE Trans. Medical Imaging 38(7): 1559-1568 (2019) - [c117]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
On the Initialization of Long Short-Term Memory Networks. ICONIP (1) 2019: 275-286 - [c116]Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso:
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI 2019: 54-62 - [c115]Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai:
Knowledge Distillation for Semi-supervised Domain Adaptation. OR/MLCN@MICCAI 2019: 68-76 - [c114]Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai:
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. Medical Imaging: Image Processing 2019: 109490S - [e10]Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang C. Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer:
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11846, Springer 2019, ISBN 978-3-030-33225-9 [contents] - [i14]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling. CoRR abs/1903.07173 (2019) - [i13]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
Robust parametric modeling of Alzheimer's disease progression. CoRR abs/1908.05338 (2019) - [i12]Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, Manuel Jorge Cardoso:
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. CoRR abs/1908.05959 (2019) - [i11]Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai:
Knowledge distillation for semi-supervised domain adaptation. CoRR abs/1908.07355 (2019) - [i10]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
On the Initialization of Long Short-Term Memory Networks. CoRR abs/1912.10454 (2019) - 2018
- [i9]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Robust training of recurrent neural networks to handle missing data for disease progression modeling. CoRR abs/1808.05500 (2018) - [i8]Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai:
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. CoRR abs/1808.06519 (2018) - [i7]François Lauze, Mads Nielsen:
On Variational Methods for Motion Compensated Inpainting. CoRR abs/1809.07983 (2018) - [i6]Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai:
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. CoRR abs/1810.01928 (2018) - 2017
- [c113]Malte Stær Nissen, Oswin Krause, Kristian Almstrup, Søren Kjærulff, Torben Trindkær Nielsen, Mads Nielsen:
Convolutional Neural Networks for Segmentation and Object Detection of Human Semen. SCIA (1) 2017: 397-406 - [p3]Akshay Pai, Yuan-Ching Teng, Joseph Blair, Michiel Kallenberg, Erik B. Dam, Stefan Sommer, Christian Igel, Mads Nielsen:
Characterization of Errors in Deep Learning-Based Brain MRI Segmentation. Deep Learning for Medical Image Analysis 2017: 223-242 - [e9]M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer:
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings. Lecture Notes in Computer Science 10551, Springer 2017, ISBN 978-3-319-67674-6 [contents] - [i5]Malte Stær Nissen, Oswin Krause, Kristian Almstrup, Søren Kjærulff, Torben Trindkær Nielsen, Mads Nielsen:
Convolutional neural networks for segmentation and object detection of human semen. CoRR abs/1704.00498 (2017) - [i4]Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen:
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. CoRR abs/1705.00432 (2017) - 2016
- [j45]Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Silas N. Ørting, Mads Nielsen, Ellen Garde, Aasa Feragen:
Training shortest-path tractography: Automatic learning of spatial priors. NeuroImage 130: 63-76 (2016) - [j44]Michiel Kallenberg, Kersten Petersen, Mads Nielsen, Andrew Y. Ng, Pengfei Diao, Christian Igel, Celine M. Vachon, Katharina Holland, Rikke Rass Winkel, Nico Karssemeijer, Martin Lillholm:
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. IEEE Trans. Medical Imaging 35(5): 1322-1331 (2016) - [j43]Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen:
Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions. IEEE Trans. Medical Imaging 35(6): 1369-1380 (2016) - [c112]Michiel Kallenberg, Mads Nielsen, Katharina Holland, Nico Karssemeijer, Christian Igel, Martin Lillholm:
Learning Density Independent Texture Features. Digital Mammography / IWDM 2016: 299-306 - [c111]Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen:
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. MCV/BAMBI@MICCAI 2016: 151-159 - [c110]Mateusz Michalkiewicz, Akshay Pai, Kelvin K. Leung, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen:
Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation. Medical Imaging: Image Processing 2016: 978406 - [c109]Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Ellen Garde, Mads Nielsen, Aasa Feragen:
Supervised hub-detection for brain connectivity. Medical Imaging: Image Processing 2016: 978409 - 2015
- [c108]Akshay Pai, Stefan Klein, Stefan Sommer, Sune Darkner, Jon Sporring, Mads Nielsen:
Diffeomorphic image registration with automatic time-step adjustment. ISBI 2015: 1085-1088 - [c107]Henrik G. Jensen, François Lauze, Mads Nielsen, Sune Darkner:
Locally Orderless Registration for Diffusion Weighted Images. MICCAI (2) 2015: 305-312 - [c106]Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen:
Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel. Medical Imaging: Image Processing 2015: 941335 - 2014
- [j42]Stefan Sommer, François Lauze, Mads Nielsen:
Optimization over geodesics for exact principal geodesic analysis. Adv. Comput. Math. 40(2): 283-313 (2014) - [j41]Lene Lillemark, Lauge Sørensen, Akshay Pai, Erik B. Dam, Mads Nielsen:
Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. BMC Medical Imaging 14: 21 (2014) - [j40]Aasa Feragen, Mads Nielsen, Eva Bjørn Vedel Jensen, Andrew du Plessis, François Lauze:
Geometry and Statistics: Manifolds and Stratified Spaces. J. Math. Imaging Vis. 50(1-2): 1-4 (2014) - [j39]Jens Petersen, Mads Nielsen, Pechin Lo, Lars Haug Nordenmark, Jesper Johannes Holst Pedersen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne:
Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease. Medical Image Anal. 18(3): 531-541 (2014) - [c105]Kersten Petersen, Mads Nielsen, Pengfei Diao, Nico Karssemeijer, Martin Lillholm:
Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning. Digital Mammography / IWDM 2014: 88-94 - [c104]Akshay Pai, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen:
Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. WBIR 2014: 223-230 - 2013
- [j38]Xavier Pennec, Sarang C. Joshi, Mads Nielsen:
Mathematical Methods for Medical Imaging. Int. J. Comput. Vis. 105(2): 109-110 (2013) - [j37]Stefan Sommer, François Lauze, Mads Nielsen, Xavier Pennec:
Sparse Multi-Scale Diffeomorphic Registration: The Kernel Bundle Framework. J. Math. Imaging Vis. 46(3): 292-308 (2013) - [j36]Peter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm:
A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models. Mach. Vis. Appl. 24(7): 1421-1434 (2013) - [j35]Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze:
Toward a Theory of Statistical Tree-Shape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 2008-2021 (2013) - [j34]Stefan Sommer, Mads Nielsen, Sune Darkner, Xavier Pennec:
Higher-Order Momentum Distributions and Locally Affine LDDMM Registration. SIAM J. Imaging Sci. 6(1): 341-367 (2013) - [c103]Adhish Prasoon, Christian Igel, Marco Loog, François Lauze, Erik B. Dam, Mads Nielsen:
Femoral cartilage segmentation in Knee MRI scans using two stage voxel classification. EMBC 2013: 5469-5472 - [c102]Akshay Pai, Lauge Sørensen, Sune Darkner, Peter Mysling, Dan R. Jørgensen, Erik B. Dam, Martin Lillholm, Joonmi Oh, Gennan Chen, Joyce Suhy, Jon Sporring, Mads Nielsen:
Cube propagation for focal brain atrophy estimation. ISBI 2013: 402-405 - [c101]Adhish Prasoon, Kersten Petersen, Christian Igel, François Lauze, Erik Dam, Mads Nielsen:
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network. MICCAI (2) 2013: 246-253 - [c100]Lene Lillemark, Lauge Sørensen, Peter Mysling, Akshay Pai, Erik B. Dam, Mads Nielsen:
Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI. Medical Imaging: Image Processing 2013: 866926 - 2012
- [j33]Melanie Ganz, Marleen de Bruijne, Erik B. Dam, Paola Pettersen, Morten Asser Karsdal, Claus Christiansen, Mads Nielsen:
Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women. Int. J. Biomed. Imaging 2012: 459286:1-459286:8 (2012) - [j32]Vladlena Gorbunova, Jon Sporring, Pechin Lo, Martine Loeve, Harm A. Tiddens, Mads Nielsen, Asger Dirksen, Marleen de Bruijne:
Mass preserving image registration for lung CT. Medical Image Anal. 16(4): 786-795 (2012) - [j31]Lauge Sørensen, Mads Nielsen, Pechin Lo, Haseem Ashraf, Jesper Johannes Holst Pedersen, Marleen de Bruijne:
Texture-Based Analysis of COPD: A Data-Driven Approach. IEEE Trans. Medical Imaging 31(1): 70-78 (2012) - [j30]Kersten Petersen, Melanie Ganz, Peter Mysling, Mads Nielsen, Lene Lillemark, Alessandro Crimi, Sami S. Brandt:
A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs. IEEE Trans. Medical Imaging 31(3): 663-676 (2012) - [j29]Sudhakar Tummala, Mads Nielsen, Martin Lillholm, Claus Christiansen, Erik B. Dam:
Automatic Quantification of Tibio-Femoral Contact Area and Congruity. IEEE Trans. Medical Imaging 31(7): 1404-1412 (2012) - [c99]Konstantin Chernoff, Marco Loog, Mads Nielsen:
Metric learning by directly minimizing the k-NN training error. ICPR 2012: 1265-1268 - [c98]Lars Lau Rakêt, Mads Nielsen:
A splitting algorithm for directional regularization and sparsification. ICPR 2012: 3094-3098 - [c97]Gopal Karemore, Brad M. Keller, Huen Oh, Julia Tchou, Mads Nielsen, Emily F. Conant, Despina Kontos:
Mammographic Parenchymal Texture Analysis for Estrogen-Receptor Subtype Specific Breast Cancer Risk Estimation. Digital Mammography / IWDM 2012: 596-603 - [c96]C. Chen, Lauge Sørensen, François Lauze, Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, Mads Nielsen:
Towards exaggerated emphysema stereotypes. Medical Imaging: Computer-Aided Diagnosis 2012: 83150Q - [c95]Adhish Prasoon, Christian Igel, Marco Loog, François Lauze, Erik Dam, Mads Nielsen:
Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage. Medical Imaging: Image Processing 2012: 83144V - [c94]Stefan Sommer, Mads Nielsen, Xavier Pennec:
Sparsity and scale: Compact representations of deformation for diffeomorphic registration. MMBIA 2012: 217-224 - [i3]Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze:
Towards a theory of statistical tree-shape analysis. CoRR abs/1207.5371 (2012) - 2011
- [j28]Sune Høgild Keller, François Lauze, Mads Nielsen:
Video Super-Resolution Using Simultaneous Motion and Intensity Calculations. IEEE Trans. Image Process. 20(7): 1870-1884 (2011) - [j27]Alessandro Crimi, Martin Lillholm, Mads Nielsen, Anarta Ghosh, Marleen de Bruijne, Erik B. Dam, Jon Sporring:
Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling. IEEE Trans. Medical Imaging 30(8): 1514-1526 (2011) - [j26]Sami S. Brandt, Gopal Karemore, Nico Karssemeijer, Mads Nielsen:
An Anatomically Oriented Breast Coordinate System for Mammogram Analysis. IEEE Trans. Medical Imaging 30(10): 1841-1851 (2011) - [c93]Chen Chen, François Lauze, Christian Igel, Aasa Feragen, Marco Loog, Mads Nielsen:
Towards exaggerated image stereotypes. ACPR 2011: 422-426 - [c92]Lars Lau Rakêt, Lars Roholm, Mads Nielsen, François Lauze:
TV-L1 Optical Flow for Vector Valued Images. EMMCVPR 2011: 329-343 - [c91]Aasa Feragen, Søren Hauberg, Mads Nielsen, François Lauze:
Means in spaces of tree-like shapes. ICCV 2011: 736-746 - [c90]Aditya Tatu, François Lauze, Mads Nielsen, Benjamin B. Kimia:
Exploring the representation capabilities of the HOG descriptor. ICCV Workshops 2011: 1410-1417 - [c89]Jens Petersen, Mads Nielsen, Pechin Lo, Zaigham Saghir, Asger Dirksen, Marleen de Bruijne:
Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. IPMI 2011: 49-60 - [c88]Stefan Sommer, Mads Nielsen, François Lauze, Xavier Pennec:
A Multi-scale Kernel Bundle for LDDMM: Towards Sparse Deformation Description across Space and Scales. IPMI 2011: 624-635 - [c87]Peter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm:
Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach. MLMI 2011: 10-17 - [c86]Xin Huang, Lars Lau Rakêt, Huynh Van Luong, Mads Nielsen, François Lauze, Søren Forchhammer:
Multi-hypothesis transform domain Wyner-Ziv video coding including optical flow. MMSP 2011: 1-6 - [c85]Stefan Sommer, François Lauze, Mads Nielsen, Xavier Pennec:
Kernel Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration. SSVM 2011: 677-688 - [i2]Stefan Sommer, Mads Nielsen, Sune Darkner, Xavier Pennec:
Higher Order Kernels and Locally Affine LDDMM Registration. CoRR abs/1112.3166 (2011) - 2010
- [j25]Aditya Tatu, François Lauze, Stefan Sommer, Mads Nielsen:
On Restricting Planar Curve Evolution to Finite Dimensional Implicit Subspaces with Non-Euclidean Metric. J. Math. Imaging Vis. 38(3): 226-240 (2010) - [j24]Arish A. Qazi, Dan R. Jørgensen, Martin Lillholm, Marco Loog, Mads Nielsen, Erik B. Dam:
A framework for optimizing measurement weight maps to minimize the required sample size. Medical Image Anal. 14(3): 255-264 (2010) - [c84]Aasa Feragen, François Lauze, Pechin Lo, Marleen de Bruijne, Mads Nielsen:
Geometries on Spaces of Treelike Shapes. ACCV (2) 2010: 160-173 - [c83]Stefan Sommer, François Lauze, Søren Hauberg, Mads Nielsen:
Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations. ECCV (6) 2010: 43-56 - [c82]Kersten Petersen, Mads Nielsen, Sami S. Brandt:
A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic Calcifications. ECCV (4) 2010: 666-679 - [c81]Konstantin Chernoff, Mads Nielsen:
Weighting of the k-Nearest-Neighbors. ICPR 2010: 666-669 - [c80]Aasa Feragen, François Lauze, Mads Nielsen:
Fundamental Geodesic Deformations in Spaces of Treelike Shapes. ICPR 2010: 2089-2093 - [c79]Melanie Ganz, Marleen de Bruijne, Mads Nielsen:
MACD: an imaging marker for cardiovascular disease. Medical Imaging: Computer-Aided Diagnosis 2010: 76240P - [c78]Jens Petersen, Pechin Lo, Mads Nielsen, Goutham Edula, Haseem Ashraf, Asger Dirksen, Marleen de Bruijne:
Quantitative analysis of airway abnormalities in CT. Medical Imaging: Computer-Aided Diagnosis 2010: 76241S - [c77]Kersten Petersen, Mads Nielsen, Sami S. Brandt:
Conditional Point Distribution Models. MCV 2010: 1-10 - [c76]Melanie Ganz, Mads Nielsen, Sami S. Brandt:
Patch-Based Generative Shape Model and MDL Model Selection for Statistical Analysis of Archipelagos. MLMI 2010: 34-41 - [c75]Vladlena Gorbunova, Sander S. A. M. Jacobs, Pechin Lo, Asger Dirksen, Mads Nielsen, Alireza Bab-Hadiashar, Marleen de Bruijne:
Early Detection of Emphysema Progression. MICCAI (2) 2010: 193-200 - [c74]Chen Chen, Konstantin Chernoff, Gopal Karemore, Pechin Lo, Mads Nielsen, François Lauze:
Classification in medical images using adaptive metric k-NN. Medical Imaging: Image Processing 2010: 76230S - [i1]Stefan Sommer, François Lauze, Mads Nielsen:
The Differential of the Exponential Map, Jacobi Fields and Exact Principal Geodesic Analysis. CoRR abs/1008.1902 (2010)
2000 – 2009
- 2009
- [j23]Mads Nielsen, Wiro J. Niessen, Carl-Fredrik Westin:
Editorial. Int. J. Comput. Vis. 85(3): 209-210 (2009) - [c73]Melanie Ganz, Marco Loog, Sami S. Brandt, Mads Nielsen:
Dense iterative contextual pixel classification using Kriging. CVPR Workshops 2009: 87-93 - [c72]Stefan Sommer, Aditya Tatu, Chen Chen, D. R. Jurgensen, Marleen de Bruijne, Marco Loog, Mads Nielsen, François Lauze:
Bicycle chain shape models. CVPR Workshops 2009: 157-163 - [c71]Konstantin Chernoff, Mads Nielsen:
Projected Generalized Procrustes Alignment. IPMI 2009: 503-514 - [c70]