Mads Nielsen

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 55

Top Venues

CoRR

Medical Imaging: Image Processing

Medical Image Anal.

NLDL

Publications

Asbjørn Munk, Mads Nielsen
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept. NLDL (2024)
Manxi Lin, Jakob Ambsdorf, Emilie Pi Fogtmann Sejer, Zahra Bashir, Chun Kit Wong, Paraskevas Pegios, Alberto Raheli, Morten Bo Søndergaard Svendsen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
Learning semantic image quality for fetal ultrasound from noisy ranking annotation. CoRR (2024)
Mikkel Odgaard, Kiril Vadimovic Klein, Sanne Møller Thysen, Espen Jimenez-Solem, Martin Sillesen, Mads Nielsen
CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT. CoRR (2024)
Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Sebastian Nørgaard Llambias, Julia Machnio, Asbjørn Munk, Jakob Ambsdorf, Mads Nielsen, Mostafa Mehdipour-Ghazi
Yucca: A Deep Learning Framework For Medical Image Analysis. CoRR (2024)
Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. NLDL (2024)
Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. CoRR (2024)
Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification. NLDL (2024)
Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa Mehdipour-Ghazi
Partial feedback online transfer learning with multi-source domains. Inf. Fusion 89 (2023)
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)
Asbjørn Munk, Ao Ma, Mads Nielsen
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept. CoRR (2023)
Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging. CoRR (2023)
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)
Ji Wu, Zhongfeng Kang, Sebastian Nørgaard Llambias, Mostafa Mehdipour-Ghazi, Mads Nielsen
Active Transfer Learning for 3D Hippocampus Segmentation. MILLanD@MICCAI (2023)
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)
Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan Sloth Lorenzen
Online transfer learning with partial feedback. Expert Syst. Appl. 212 (2023)
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 (2023)
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. ICLR (2022)
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 (2022)
Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang
A buffered online transfer learning algorithm with multi-layer network. Neurocomputing 488 (2022)
Mostafa Mehdipour-Ghazi, Mads Nielsen
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain. CoRR (2022)
Jon Middleton, Marko Bauer, Jacob Johansen, Mads Nielsen, Stefan Sommer, Akshay Pai
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders. MAD@MICCAI (2022)
Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso
Augmentation based unsupervised domain adaptation. CoRR (2022)
Svetlana Kutuzova, Oswin Krause, Douglas McCloskey, Mads Nielsen, Christian Igel
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts. CoRR (2021)
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 (2021)
Irme Groothuis, Carole H. Sudre, Silvia Ingala, Josephine Barnes, Juan Domingo Gispert, Lauge Sørensen, Akshay Pai, Mads Nielsen, Sébastien Ourselin, M. Jorge Cardoso, Frederik Barkhof, Marc Modat
Lesion-wise evaluation for effective performance monitoring of small object segmentation. Medical Imaging: Image Processing (2021)
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. CoRR (2021)
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 (2021)
Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai
Lung Segmentation from Chest X-rays using Variational Data Imputation. CoRR (2020)
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 (2020)
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 (2019)
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 (2019)
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)
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) (2019)
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 (2019)
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 (2019)
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)
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 (2019)
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 (2019)
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)
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)
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 (2018)
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 (2018)
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 (2018)
François Lauze, Mads Nielsen
On Variational Methods for Motion Compensated Inpainting. CoRR (2018)
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 (2017)
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)
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 (2017)
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)
Michiel Kallenberg, Mads Nielsen, Katharina Holland, Nico Karssemeijer, Christian Igel, Martin Lillholm
Learning Density Independent Texture Features. Digital Mammography / IWDM (2016)
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) (2016)
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)
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)
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) (2016)
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 (2016)
Akshay Pai, Stefan Klein, Stefan Sommer, Sune Darkner, Jon Sporring, Mads Nielsen
Diffeomorphic image registration with automatic time-step adjustment. ISBI (2015)
Henrik G. Jensen, François Lauze, Mads Nielsen, Sune Darkner
Locally Orderless Registration for Diffusion Weighted Images. MICCAI (2) (2015)
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)
Stefan Sommer, François Lauze, Mads Nielsen
Optimization over geodesics for exact principal geodesic analysis. Adv. Comput. Math. 40 (2) (2014)
Akshay Pai, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen
Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. WBIR (2014)
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) (2014)
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) (2014)
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 (2014)
Kersten Petersen, Mads Nielsen, Pengfei Diao, Nico Karssemeijer, Martin Lillholm
Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning. Digital Mammography / IWDM (2014)
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)
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)
Xavier Pennec, Sarang C. Joshi, Mads Nielsen
Mathematical Methods for Medical Imaging. Int. J. Comput. Vis. 105 (2) (2013)
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)
Stefan Sommer, Mads Nielsen, Sune Darkner, Xavier Pennec
Higher-Order Momentum Distributions and Locally Affine LDDMM Registration. SIAM J. Imaging Sci. 6 (1) (2013)
Stefan Sommer, François Lauze, Mads Nielsen, Xavier Pennec
Sparse Multi-Scale Diffeomorphic Registration: The Kernel Bundle Framework. J. Math. Imaging Vis. 46 (3) (2013)
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)
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) (2013)
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) (2013)
Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze
Towards a theory of statistical tree-shape analysis CoRR (2012)
Konstantin Chernoff, Marco Loog, Mads Nielsen
Metric learning by directly minimizing the k-NN training error. ICPR (2012)
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) (2012)
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 (2012)
Stefan Sommer, Mads Nielsen, Xavier Pennec
Sparsity and scale: Compact representations of deformation for diffeomorphic registration. MMBIA (2012)
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) (2012)
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) (2012)
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)
Lars Lau Rakêt, Mads Nielsen
A splitting algorithm for directional regularization and sparsification. ICPR (2012)
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)
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) (2012)
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)
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)
Aasa Feragen, Søren Hauberg, Mads Nielsen, François Lauze
Means in spaces of tree-like shapes. ICCV (2011)
Sune Høgild Keller, François Lauze, Mads Nielsen
Video Super-Resolution Using Simultaneous Motion and Intensity Calculations. IEEE Trans. Image Process. 20 (7) (2011)
Aditya Tatu, François Lauze, Mads Nielsen, Benjamin B. Kimia
Exploring the representation capabilities of the HOG descriptor. ICCV Workshops (2011)
Chen Chen, François Lauze, Christian Igel, Aasa Feragen, Marco Loog, Mads Nielsen
Towards exaggerated image stereotypes. ACPR (2011)
Sami S. Brandt, Gopal Karemore, Nico Karssemeijer, Mads Nielsen
An Anatomically Oriented Breast Coordinate System for Mammogram Analysis. IEEE Trans. Medical Imaging 30 (10) (2011)
Peter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm
Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach. MLMI (2011)
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)
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) (2011)
Lars Lau Rakêt, Lars Roholm, Mads Nielsen, François Lauze
Optical Flow for Vector Valued Images. EMMCVPR (2011)
Stefan Sommer, Mads Nielsen, Sune Darkner, Xavier Pennec
Higher Order Kernels and Locally Affine LDDMM Registration CoRR (2011)
Stefan Sommer, François Lauze, Mads Nielsen, Xavier Pennec
Kernel Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration. SSVM (2011)
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)
Aasa Feragen, François Lauze, Mads Nielsen
Fundamental Geodesic Deformations in Spaces of Treelike Shapes. ICPR (2010)
Stefan Sommer, François Lauze, Søren Hauberg, Mads Nielsen
Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations. ECCV (6) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mads Nielsen