Isotropic Regularization. - Mads Nielsen (BMVC, 1993)

Graduated Non-Convexity by Smoothness Focusing. - Mads Nielsen (BMVC, 1993)

Surface Reconstruction: GNCs and MFA. - Mads Nielsen (ICCV, 1995)

Multiscale Gradient Magnitude Watershed Segmentation. - Ole Fogh Olsen; Mads Nielsen (ICIAP (1), 1997)

On the Duality of Scalar and Density Flows. - Mads Nielsen; Wiro J. Niessen; Robert Maas; Luc Florack; Bart M. ter Haar Romeny (Scale-Space, 1997)

Generic Events for the Gradient Squared with Application to Multi-Scale Segmentation. - Ole Fogh Olsen; Mads Nielsen (Scale-Space, 1997)

Multiscale Approach to Image Sequence Analysis. - Wiro J. Niessen; James S. Duncan; Mads Nielsen; Luc Florack; Bart M. ter Haar Romeny; Max A. Viergever (Comput. Vis. Image Underst., 1997)

Regularization, Scale-Space, and Edge Detection Filters. - Mads Nielsen; Luc Florack; Rachid Deriche (J. Math. Imaging Vis., 1997)

Graduated Nonconvexity by Functional Focusing. - Mads Nielsen (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

Scale-Space Generators and Functionals. - Mads Nielsen (Gaussian Scale-Space Theory, 1997)

The Structure of the Optic Flow Field. - Mads Nielsen; Ole Fogh Olsen (ECCV (2), 1998)

Feature Displacement Interpolation. - Mads Nielsen; Per Rønsholt Andresen (ICIP (3), 1998)

A note on differential corner measures. - Jon Sporring; Mads Nielsen; Joachim Weickert; Ole Fogh Olsen (ICPR, 1998)

4D Shape-Preserving Modeling of Bone Growth. - Per Rønsholt Andresen; Mads Nielsen; Sven Kreiborg (MICCAI, 1998)

The Intrinsic Structure of Optic Flow Incorporating Measurement Duality. - Luc Florack; Wiro J. Niessen; Mads Nielsen (Int. J. Comput. Vis., 1998)

The Hausdorff Dimension and Scale-Space Normalisation of Natural Images. - Kim Steenstrup Pedersen; Mads Nielsen (Scale-Space, 1999)

Binocular Stereo from Grey-Scale Images. - Mads Nielsen; Robert Maas; Wiro J. Niessen; Luc Florack; Bart M. ter Haar Romeny (J. Math. Imaging Vis., 1999)

Lie Group Modeling of Nonlinear Point Set Shape Variability. - Niels Holm Olsen; Mads Nielsen (AFPAC, 2000)

Non-linear Diffusion for Interactive Multi-scale Watershed Segmentation. - Erik Dam; Mads Nielsen (MICCAI, 2000)

Smoothing images creates corners. - Jon Sporring; Ole Fogh Olsen; Mads Nielsen; Joachim Weickert (Image Vis. Comput., 2000)

Branch Points in One-Dimensional Gaussian Scale Space. - Peter Johansen; Mads Nielsen; Ole Fogh Olsen (J. Math. Imaging Vis., 2000)

Special Issue on the Second International Conference on Scale Space Theory in Computer Vision: Guest Editors' Comments. - Olivier D. Faugeras; Mads Nielsen; Pietro Perona; Bart M. ter Haar Romeny; Guillermo Sapiro (J. Vis. Commun. Image Represent., 2000)

The Hausdorff Dimension and Scale-Space Normalization of Natural Images. - Kim Steenstrup Pedersen; Mads Nielsen (J. Vis. Commun. Image Represent., 2000)

Koenderink Corner Points. - Mads Nielsen; Ole Fogh Olsen; Michael Sig; Mikkel Sigurd (IWVF, 2001)

Exploring Non-linear Diffusion: The Diffusion Echo. - Erik Dam; Mads Nielsen (Scale-Space, 2001)

What Do Features Tell about Images? - Mads Nielsen; Martin Lillholm (Scale-Space, 2001)

Computing Optic Flow by Scale-Space Integration of Normal Flow. - Kim Steenstrup Pedersen; Mads Nielsen (Scale-Space, 2001)

Scale-Time Kernels and Models. - Bart M. ter Haar Romeny; Luc Florack; Mads Nielsen (Scale-Space, 2001)

Non-rigid registration by geometry-constrained diffusion. - Per Rønsholt Andresen; Mads Nielsen (Medical Image Anal., 2001)

Brownian Warps: A Least Committed Prior for Non-rigid Registration. - Mads Nielsen; Peter Johansen; Andrew D. Jackson; Benny Lautrup (MICCAI (2), 2002)

Tracking Eyes Using Shape and Appearance. - Dan Witzner Hansen; Mads Nielsen; John Paulin Hansen; Anders Sewerin Johansen; Mikkel B. Stegmann (MVA, 2002)

Eye Typing using Markov and Active Appearance Models. - Dan Witzner Hansen; John Paulin Hansen; Mads Nielsen; Anders Sewerin Johansen; Mikkel B. Stegmann (WACV, 2002)

Guest Editorial: Special Issue on Statistics of Shapes and Textures. - Mads Nielsen; Lars Kai Hansen; Peter Johansen; Jon Sporring (J. Math. Imaging Vis., 2002)

Approximating Non-linear Diffusion. - Erik Dam; Ole Fogh Olsen; Mads Nielsen (Scale-Space, 2003)

Gaussian Scale Space from Insufficient Image Information. - Marco Loog; Martin Lillholm; Mads Nielsen; Max A. Viergever (Scale-Space, 2003)

Detection and Localization of Random Signals. - Jon Sporring; Niels Holm Olsen; Mads Nielsen (Scale-Space, 2003)

Reconstructing the Optical Thickness from Hoffman Modulation Contrast Images. - Niels Holm Olsen; Jon Sporring; Mads Nielsen; Christina Hnida; Seren Ziebe (SCIA, 2003)

Feature-Based Image Analysis. - Martin Lillholm; Mads Nielsen; Lewis D. Griffin (Int. J. Comput. Vis., 2003)

A Variational Algorithm For Motion Compensated Inpainting. - François Lauze; Mads Nielsen (BMVC, 2004)

From a 2D Shape to a String Structure Using the Symmetry Set. - Arjan Kuijper; Ole Fogh Olsen; Peter J. Giblin; Philip Bille; Mads Nielsen (ECCV (2), 2004)

A PDE Solution of Brownian Warping. - Mads Nielsen; Peter Johansen (ECCV (4), 2004)

Eye tracking off the shelf. - Dan Witzner Hansen; David J. C. MacKay; John Paulin Hansen; Mads Nielsen (ETRA, 2004)

Image Segmentation by Shape Particle Filtering. - Marleen de Bruijne; Mads Nielsen (ICPR (3), 2004)

Shape Particle Filtering for Image Segmentation. - Marleen de Bruijne; Mads Nielsen (MICCAI (1), 2004)

Prediction of the location of the lumbar aorta using the first four lumbar vertebrae as a predictor. - Lars A. Conrad-Hansen; Jakob Raundahl; László B. Tankó; Mads Nielsen (Image Processing, 2004)

Asymmetry quantization and application to human mandibles. - Nanna Glerup; Mads Nielsen; Jon Sporring; Sven Kreiborg (Image Processing, 2004)

Effect of projective viewpoint in detecting temporal density changes. - Jakob Raundahl; Mads Nielsen; Ole Fogh Olsen; Yu Zhao Bagger (Image Processing, 2004)

Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images. - Lars A. Conrad-Hansen; Marleen de Bruijne; François Lauze; László B. Tankó; Mads Nielsen (CVBIA, 2005)

Multi-object Segmentation Using Shape Particles. - Marleen de Bruijne; Mads Nielsen (IPMI, 2005)

Quantizing calcification in the lumbar aorta on 2-D lateral x-ray images. - Lars Arne Conrad-Hansen; François Lauze; László B. Tankó; Mads Nielsen (Image Processing, 2005)

Locating articular cartilage in MR images. - Jenny Folkesson; Erik Dam; Paola Pettersen; Ole Fogh Olsen; Mads Nielsen; Claus Christiansen (Image Processing, 2005)

Shape regression for vertebra fracture quantification. - Michael Tillge Lund; Marleen de Bruijne; László B. Tankó; Mads Nielsen (Image Processing, 2005)

A Total Variation Motion Adaptive Deinterlacing Scheme. - Sune Høgild Keller; François Lauze; Mads Nielsen (Scale-Space, 2005)

On alpha Kernels, Lévy Processes, and Natural Image Statistics. - Kim Steenstrup Pedersen; Remco Duits; Mads Nielsen (Scale-Space, 2005)

From Bayes to PDEs in Image Warping. - Mads Nielsen; Bo Markussen (Handbook of Mathematical Models in Computer Vision, 2006)

Understanding Hessian-Based Density Scoring. - Jakob Raundahl; Marco Loog; Mads Nielsen (Digital Mammography / IWDM, 2006)

A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images. - Lars A. Conrad-Hansen; Marleen de Bruijne; François Lauze; László B. Tankó; Mads Nielsen (Image Processing, 2006)

Mammographic density measured as changes in tissue structure caused by HRT. - Jakob Raundahl; Marco Loog; Mads Nielsen (Image Processing, 2006)

Alternative 2D Shape Representations using the Symmetry Set. - Arjan Kuijper; Ole Fogh Olsen; Peter J. Giblin; Mads Nielsen (J. Math. Imaging Vis., 2006)

The Generic Structure of the Optic Flow Field. - Ole Fogh Olsen; Mads Nielsen (J. Math. Imaging Vis., 2006)

Semi-automatic detection of calcifications using nonlinear stretching on x-ray images. - Lars A. Conrad-Hansen; Marleen de Bruijne; Mads Nielsen; Maria Petrou (Computer-Aided Diagnosis, 2007)

Quantifying Calcification in the Lumbar Aorta on X-Ray Images. - Lars A. Conrad-Hansen; Marleen de Bruijne; François Lauze; László B. Tankó; Paola Pettersen; Qing He; Jianghong Chen; Claus Christiansen; Mads Nielsen (MICCAI (2), 2007)

A Family of Principal Component Analyses for Dealing with Outliers. - Juan Eugenio Iglesias; Marleen de Bruijne; Marco Loog; François Lauze; Mads Nielsen (MICCAI (2), 2007)

Quantifying Effect-Specific Mammographic Density. - Jakob Raundahl; Marco Loog; Paola Pettersen; Mads Nielsen (MICCAI (2), 2007)

Vertebral fracture classification. - Marleen de Bruijne; Paola C. Pettersen; László B. Tankó; Mads Nielsen (Image Processing, 2007)

Evaluation of Brownian warps for shape alignment. - Mads Nielsen (Image Processing, 2007)

Automatic detection of diseased regions in knee cartilage. - Arish A. Qazi; Erik B. Dam; Ole Fogh Olsen; Mads Nielsen; Claus Christiansen (Image Processing, 2007)

Evaluation of four mammographic density measures on HRT data. - Jakob Raundahl; Marco Loog; Paola Pettersen; Mads Nielsen (Image Processing, 2007)

Motion Compensated Video Super Resolution. - Sune Høgild Keller; François Lauze; Mads Nielsen (SSVM, 2007)

Curve Evolution in Subspaces. - Aditya Tatu; François Lauze; Mads Nielsen; Ole Fogh Olsen (SSVM, 2007)

Image Inpainting by Cooling and Heating. - David Gustavsson; Kim Steenstrup Pedersen; Mads Nielsen (SCIA, 2007)

Quantitative vertebral morphometry using neighbor-conditional shape models. - Marleen de Bruijne; Michael T. Lund; László B. Tankó; Paola Pettersen; Mads Nielsen (Medical Image Anal., 2007)

Editorial. - David J. Hawkes; Mads Nielsen (Medical Image Anal., 2007)

Classification of Laser Induced Fluorescence spectra from normal and malignant tissues using Learning Vector Quantization neural network in bladder cancer diagnosis. - Gopal Karemore; Mads Nielsen; Kim Komal Mascarenhas; K. S. Choudhary; Ajeethkumar Patil; V. K. Unnikrishnan; Vijendra Prabhu; Arunkumar Chowla; C. Santhosh (BIBE, 2008)

Weight Preserving Image Registration for Monitoring Disease Progression in Lung CT. - Vladlena Gorbunova; Pechin Lo; Haseem Ashraf; Asger Dirksen; Mads Nielsen; Marleen de Bruijne (MICCAI (2), 2008)

A variational method for automatic localization of the most pathological ROI in the knee cartilage. - Arish A. Qazi; Erik B. Dam; Marco Loog; Mads Nielsen; François Lauze; Claus Christiansen (Image Processing, 2008)

Nonrigid Object Segmentation and Occlusion Detection in Image Sequences. - Ketut Fundana; Niels Chr. Overgaard; Anders Heyden; David Gustavsson; Mads Nielsen (VISAPP (1), 2008)

From Inpainting to Active Contours. - François Lauze; Mads Nielsen (Int. J. Comput. Vis., 2008)

Field of Particle Filters for Image Inpainting. - Anne Cuzol; Kim Steenstrup Pedersen; Mads Nielsen (J. Math. Imaging Vis., 2008)

Special Issue on Tribute Workshop for Peter Johansen. - Mads Nielsen; Marleen de Bruijne; Camilla Jørgensen; Søren I. Olsen; Kim Steenstrup Pedersen; Jon Sporring (J. Math. Imaging Vis., 2008)

Brownian Warps for Non-Rigid Registration. - Mads Nielsen; Peter Johansen; Andrew D. Jackson; Benny Lautrup; Søren Hauberg (J. Math. Imaging Vis., 2008)

Deinterlacing Using Variational Methods. - Sune Høgild Keller; François Lauze; Mads Nielsen (IEEE Trans. Image Process., 2008)

Automated Effect-Specific Mammographic Pattern Measures. - Jakob Raundahl; Marco Loog; Paola Pettersen; László B. Tankó; Mads Nielsen (IEEE Trans. Medical Imaging, 2008)

Dense iterative contextual pixel classification using Kriging. - Melanie Ganz; Marco Loog; Sami S. Brandt; Mads Nielsen (CVPR Workshops, 2009)

Bicycle chain shape models. - Stefan Sommer; Aditya Tatu; Chen Chen; D. R. Jurgensen; Marleen de Bruijne; Marco Loog; Mads Nielsen; François Lauze (CVPR Workshops, 2009)

Projected Generalized Procrustes Alignment. - Konstantin Chernoff; Mads Nielsen (IPMI, 2009)

Scale focusing of statistical shape models for breast region segmentation and pectoral muscle suppression. - Naga P. K. R. Dandu; Mads Nielsen (Computer-Aided Diagnosis, 2009)

Fractal dimension and lacunarity analysis of mammographic patterns in assessing breast cancer risk related to HRT treated population: a longitudinal and cross-sectional study. - Gopal Karemore; Mads Nielsen (Computer-Aided Diagnosis, 2009)

Learning COPD Sensitive Filters in Pulmonary CT. - Lauge Sørensen; Pechin Lo; Haseem Ashraf; Jon Sporring; Mads Nielsen; Marleen de Bruijne (MICCAI (1), 2009)

Bayes estimation of shape model with application to vertebrae boundaries. - Alessandro Crimi; Anarta Ghosh; Jon Sporring; Mads Nielsen (Image Processing, 2009)

Mass preserving registration for lung CT. - Vladlena Gorbunova; Pechin Lo; Martine Loeve; Harm A. Tiddens; Jon Sporring; Mads Nielsen; Marleen de Bruijne (Image Processing, 2009)

On the Rate of Structural Change in Scale Spaces. - David Gustavsson; Kim Steenstrup Pedersen; François Lauze; Mads Nielsen (SSVM, 2009)

A SVD based Image Complexity Measure. - David Gustavsson; Kim Steenstrup Pedersen; Mads Nielsen (VISAPP (2), 2009)

Editorial. - Mads Nielsen; Wiro J. Niessen; Carl-Fredrik Westin (Int. J. Comput. Vis., 2009)

Geometries on Spaces of Treelike Shapes. - Aasa Feragen; François Lauze; Pechin Lo; Marleen de Bruijne; Mads Nielsen (ACCV (2), 2010)

A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic Calcifications. - Kersten Petersen; Mads Nielsen; Sami S. Brandt (ECCV (4), 2010)

Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations. - Stefan Sommer; François Lauze; Søren Hauberg; Mads Nielsen (ECCV (6), 2010)

Weighting of the k-Nearest-Neighbors. - Konstantin Chernoff; Mads Nielsen (ICPR, 2010)

Fundamental Geodesic Deformations in Spaces of Treelike Shapes. - Aasa Feragen; François Lauze; Mads Nielsen (ICPR, 2010)

MACD: an imaging marker for cardiovascular disease. - Melanie Ganz; Marleen de Bruijne; Mads Nielsen (Computer-Aided Diagnosis, 2010)

Quantitative analysis of airway abnormalities in CT. - Jens Petersen; Pechin Lo; Mads Nielsen; Goutham Edula; Haseem Ashraf; Asger Dirksen; Marleen de Bruijne (Computer-Aided Diagnosis, 2010)

Patch-Based Generative Shape Model and MDL Model Selection for Statistical Analysis of Archipelagos. - Melanie Ganz; Mads Nielsen; Sami S. Brandt (MLMI, 2010)

Early Detection of Emphysema Progression. - Vladlena Gorbunova; Sander S. A. M. Jacobs; Pechin Lo; Asger Dirksen; Mads Nielsen; Alireza Bab-Hadiashar; Marleen de Bruijne (MICCAI (2), 2010)

Conditional Point Distribution Models. - Kersten Petersen; Mads Nielsen; Sami S. Brandt (MCV, 2010)

Classification in medical images using adaptive metric k-NN. - Chen Chen; Konstantin Chernoff; Gopal Karemore; Pechin Lo; Mads Nielsen; François Lauze (Image Processing, 2010)

The Differential of the Exponential Map, Jacobi Fields and Exact Principal Geodesic Analysis - Stefan Sommer; François Lauze; Mads Nielsen (CoRR, 2010)

On Restricting Planar Curve Evolution to Finite Dimensional Implicit Subspaces with Non-Euclidean Metric. - Aditya Tatu; François Lauze; Stefan Sommer; Mads Nielsen (J. Math. Imaging Vis., 2010)

A framework for optimizing measurement weight maps to minimize the required sample size. - Arish A. Qazi; Dan R. Jørgensen; Martin Lillholm; Marco Loog; Mads Nielsen; Erik B. Dam (Medical Image Anal., 2010)

Towards exaggerated image stereotypes. - Chen Chen; François Lauze; Christian Igel; Aasa Feragen; Marco Loog; Mads Nielsen (ACPR, 2011)

TV-L1 Optical Flow for Vector Valued Images. - Lars Lau Rakêt; Lars Roholm; Mads Nielsen; François Lauze (EMMCVPR, 2011)

Means in spaces of tree-like shapes. - Aasa Feragen; Søren Hauberg; Mads Nielsen; François Lauze (ICCV, 2011)

Exploring the representation capabilities of the HOG descriptor. - Aditya Tatu; François Lauze; Mads Nielsen; Benjamin B. Kimia (ICCV Workshops, 2011)

Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. - Jens Petersen; Mads Nielsen; Pechin Lo; Zaigham Saghir; Asger Dirksen; Marleen de Bruijne (IPMI, 2011)

A Multi-scale Kernel Bundle for LDDMM: Towards Sparse Deformation Description across Space and Scales. - Stefan Sommer; Mads Nielsen; François Lauze; Xavier Pennec (IPMI, 2011)

Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach. - Peter Mysling; Kersten Petersen; Mads Nielsen; Martin Lillholm (MLMI, 2011)

Multi-hypothesis transform domain Wyner-Ziv video coding including optical flow. - Xin Huang 004; Lars Lau Rakêt; Huynh Van Luong; Mads Nielsen; François Lauze; Søren Forchhammer (MMSP, 2011)

Kernel Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration. - Stefan Sommer; François Lauze; Mads Nielsen; Xavier Pennec (SSVM, 2011)

Higher Order Kernels and Locally Affine LDDMM Registration - Stefan Sommer; Mads Nielsen; Sune Darkner; Xavier Pennec (CoRR, 2011)

Video Super-Resolution Using Simultaneous Motion and Intensity Calculations. - Sune Høgild Keller; François Lauze; Mads Nielsen (IEEE Trans. Image Process., 2011)

An Anatomically Oriented Breast Coordinate System for Mammogram Analysis. - Sami S. Brandt; Gopal Karemore; Nico Karssemeijer; Mads Nielsen (IEEE Trans. Medical Imaging, 2011)

Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling. - Alessandro Crimi; Martin Lillholm; Mads Nielsen; Anarta Ghosh; Marleen de Bruijne; Erik B. Dam; Jon Sporring (IEEE Trans. Medical Imaging, 2011)

Metric learning by directly minimizing the k-NN training error. - Konstantin Chernoff; Marco Loog; Mads Nielsen (ICPR, 2012)

A splitting algorithm for directional regularization and sparsification. - Lars Lau Rakêt; Mads Nielsen (ICPR, 2012)

Mammographic Parenchymal Texture Analysis for Estrogen-Receptor Subtype Specific Breast Cancer Risk Estimation. - Gopal Karemore; Brad M. Keller; Huen Oh; Julia Tchou; Mads Nielsen; Emily F. Conant; Despina Kontos (Digital Mammography / IWDM, 2012)

Towards exaggerated emphysema stereotypes. - C. Chen; Lauge Sørensen; François Lauze; Christian Igel; Marco Loog; Aasa Feragen; Marleen de Bruijne; Mads Nielsen (Computer-Aided Diagnosis, 2012)

Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage. - Adhish Prasoon; Christian Igel; Marco Loog; François Lauze; Erik Dam; Mads Nielsen (Image Processing, 2012)

Sparsity and scale: Compact representations of deformation for diffeomorphic registration. - Stefan Sommer; Mads Nielsen; Xavier Pennec (MMBIA, 2012)

Towards a theory of statistical tree-shape analysis - Aasa Feragen; Pechin Lo; Marleen de Bruijne; Mads Nielsen; François Lauze (CoRR, 2012)

Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women. - Melanie Ganz; Marleen de Bruijne; Erik B. Dam; Paola Pettersen; Morten Asser Karsdal; Claus Christiansen; Mads Nielsen (Int. J. Biomed. Imaging, 2012)

Mass preserving image registration for lung CT. - Vladlena Gorbunova; Jon Sporring; Pechin Lo; Martine Loeve; Harm A. Tiddens; Mads Nielsen; Asger Dirksen; Marleen de Bruijne (Medical Image Anal., 2012)

A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs. - Kersten Petersen; Melanie Ganz; Peter Mysling; Mads Nielsen; Lene Lillemark; Alessandro Crimi; Sami S. Brandt (IEEE Trans. Medical Imaging, 2012)

Texture-Based Analysis of COPD: A Data-Driven Approach. - Lauge Sørensen; Mads Nielsen; Pechin Lo; Haseem Ashraf; Jesper Johannes Holst Pedersen; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2012)

Automatic Quantification of Tibio-Femoral Contact Area and Congruity. - Sudhakar Tummala; Mads Nielsen; Martin Lillholm; Claus Christiansen; Erik B. Dam (IEEE Trans. Medical Imaging, 2012)

Femoral cartilage segmentation in Knee MRI scans using two stage voxel classification. - Adhish Prasoon; Christian Igel; Marco Loog; François Lauze; Erik B. Dam; Mads Nielsen (EMBC, 2013)

Cube propagation for focal brain atrophy estimation. - 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 (ISBI, 2013)

Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network. - Adhish Prasoon; Kersten Petersen; Christian Igel; François Lauze; Erik Dam; Mads Nielsen (MICCAI (2), 2013)

Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI. - Lene Lillemark; Lauge Sørensen; Peter Mysling; Akshay Pai; Erik B. Dam; Mads Nielsen (Image Processing, 2013)

Mathematical Methods for Medical Imaging. - Xavier Pennec; Sarang C. Joshi; Mads Nielsen (Int. J. Comput. Vis., 2013)

Sparse Multi-Scale Diffeomorphic Registration: The Kernel Bundle Framework. - Stefan Sommer; François Lauze; Mads Nielsen; Xavier Pennec (J. Math. Imaging Vis., 2013)

A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models. - Peter Mysling; Kersten Petersen; Mads Nielsen; Martin Lillholm (Mach. Vis. Appl., 2013)

Toward a Theory of Statistical Tree-Shape Analysis. - Aasa Feragen; Pechin Lo; Marleen de Bruijne; Mads Nielsen; François Lauze (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Higher-Order Momentum Distributions and Locally Affine LDDMM Registration. - Stefan Sommer; Mads Nielsen; Sune Darkner; Xavier Pennec (SIAM J. Imaging Sci., 2013)

Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning. - Kersten Petersen; Mads Nielsen; Pengfei Diao; Nico Karssemeijer; Martin Lillholm (Digital Mammography / IWDM, 2014)

Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. - Akshay Pai; Stefan Sommer; Sune Darkner; Lauge Sørensen; Jon Sporring; Mads Nielsen (WBIR, 2014)

Optimization over geodesics for exact principal geodesic analysis. - Stefan Sommer; François Lauze; Mads Nielsen (Adv. Comput. Math., 2014)

Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. - Lene Lillemark; Lauge Sørensen; Akshay Pai; Erik B. Dam; Mads Nielsen (BMC Medical Imaging, 2014)

Geometry and Statistics: Manifolds and Stratified Spaces. - Aasa Feragen; Mads Nielsen; Eva Bjørn Vedel Jensen; Andrew du Plessis; François Lauze (J. Math. Imaging Vis., 2014)

Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease. - Jens Petersen; Mads Nielsen; Pechin Lo; Lars Haug Nordenmark; Jesper Johannes Holst Pedersen; Mathilde Marie Winkler Wille; Asger Dirksen; Marleen de Bruijne (Medical Image Anal., 2014)

Diffeomorphic image registration with automatic time-step adjustment. - Akshay Pai; Stefan Klein 001; Stefan Sommer; Sune Darkner; Jon Sporring; Mads Nielsen (ISBI, 2015)

Locally Orderless Registration for Diffusion Weighted Images. - Henrik G. Jensen; François Lauze; Mads Nielsen; Sune Darkner (MICCAI (2), 2015)

Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel. - Akshay Pai; Stefan Sommer; Lauge Sørensen; Sune Darkner; Jon Sporring; Mads Nielsen (Image Processing, 2015)

Learning Density Independent Texture Features. - Michiel Kallenberg; Mads Nielsen; Katharina Holland; Nico Karssemeijer; Christian Igel; Martin Lillholm (Digital Mammography / IWDM, 2016)

A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. - Akshay Pai; Stefan Sommer; Lars Lau Rakêt; Line Kühnel; Sune Darkner; Lauge Sørensen; Mads Nielsen (MCV/BAMBI@MICCAI, 2016)

Supervised hub-detection for brain connectivity. - Niklas Kasenburg; Matthew G. Liptrot; Nina Linde Reislev; Ellen Garde; Mads Nielsen; Aasa Feragen (Image Processing, 2016)

Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation. - Mateusz Michalkiewicz; Akshay Pai; Kelvin K. Leung; Stefan Sommer; Sune Darkner; Lauge Sørensen; Jon Sporring; Mads Nielsen (Image Processing, 2016)

Training shortest-path tractography: Automatic learning of spatial priors. - Niklas Kasenburg; Matthew G. Liptrot; Nina Linde Reislev; Silas N. Ørting; Mads Nielsen; Ellen Garde; Aasa Feragen (NeuroImage, 2016)

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. - 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 (IEEE Trans. Medical Imaging, 2016)

Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions. - Akshay Pai; Stefan Sommer; Lauge Sørensen; Sune Darkner; Jon Sporring; Mads Nielsen (IEEE Trans. Medical Imaging, 2016)

Characterization of Errors in Deep Learning-Based Brain MRI Segmentation. - Akshay Pai; Yuan-Ching Teng; Joseph Blair; Michiel Kallenberg; Erik B. Dam; Stefan Sommer; Christian Igel; Mads Nielsen (Deep Learning for Medical Image Analysis, 2017)

Convolutional Neural Networks for Segmentation and Object Detection of Human Semen. - Malte Stær Nissen; Oswin Krause; Kristian Almstrup; Søren Kjærulff; Torben Trindkær Nielsen; Mads Nielsen (SCIA (1), 2017)

Robust training of recurrent neural networks to handle missing data for disease progression modeling. - Mostafa Mehdipour-Ghazi; Mads Nielsen; Akshay Pai; M. Jorge Cardoso; Marc Modat; Sébastien Ourselin; Lauge Sørensen (CoRR, 2018)

Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. - Mauricio Orbes-Arteaga; M. Jorge Cardoso; Lauge Sørensen; Marc Modat; Sébastien Ourselin; Mads Nielsen; Akshay Pai (CoRR, 2018)

On Variational Methods for Motion Compensated Inpainting. - François Lauze; Mads Nielsen (CoRR, 2018)

On the Initialization of Long Short-Term Memory Networks. - Mostafa Mehdipour-Ghazi; Mads Nielsen; Akshay Pai; Marc Modat; M. Jorge Cardoso; Sébastien Ourselin; Lauge Sørensen (ICONIP (1), 2019)

Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. - 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 (DART/MIL3ID@MICCAI, 2019)

Knowledge Distillation for Semi-supervised Domain Adaptation. - Mauricio Orbes-Arteaga; M. Jorge Cardoso; Lauge Sørensen; Christian Igel; Sébastien Ourselin; Marc Modat; Mads Nielsen; Akshay Pai (OR/MLCN@MICCAI, 2019)

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. - Mauricio Orbes-Arteaga; Lauge Sørensen; Manuel Jorge Cardoso; Marc Modat; Sébastien Ourselin; Stefan Sommer; Mads Nielsen; Christian Igel; Akshay Pai (Image Processing, 2019)

Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. - Mostafa Mehdipour-Ghazi; Mads Nielsen; Akshay Pai; M. Jorge Cardoso; Marc Modat; Sébastien Ourselin; Lauge Sørensen (Medical Image Anal., 2019)

Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies. - Jens Petersen; Andrés M. Arias Lorza; Raghavendra Selvan; Daniel Bos; Aad van der Lugt; Jesper Johannes Holst Pedersen; Mads Nielsen; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2019)

Lung Segmentation from Chest X-rays using Variational Data Imputation. - Raghavendra Selvan; Erik B. Dam; Sofus Rischel; Kaining Sheng; Mads Nielsen; Akshay Pai (CoRR, 2020)

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. - Hayit Greenspan; Raúl San José Estépar; Wiro J. Niessen; Eliot L. Siegel; Mads Nielsen (Medical Image Anal., 2020)

Lesion-wise evaluation for effective performance monitoring of small object segmentation. - 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 (Image Processing, 2021)

Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts. - Svetlana Kutuzova; Oswin Krause; Douglas McCloskey; Mads Nielsen; Christian Igel (CoRR, 2021)

Robust parametric modeling of Alzheimer's disease progression. - Mostafa Mehdipour-Ghazi; Mads Nielsen; Akshay Pai; Marc Modat; M. Jorge Cardoso; Sébastien Ourselin; Lauge Sørensen (NeuroImage, 2021)

Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. - Stephan Sloth Lorenzen; Christian Igel; Mads Nielsen (ICLR, 2022)

Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders. - Jon Middleton; Marko Bauer; Jacob Johansen; Mads Nielsen; Stefan Sommer; Akshay Pai (MAD@MICCAI, 2022)

Augmentation based unsupervised domain adaptation. - Mauricio Orbes-Arteaga; Thomas Varsavsky; Lauge Sørensen; Mads Nielsen; Akshay Pai; Sébastien Ourselin; Marc Modat; M. Jorge Cardoso (CoRR, 2022)

Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk. - Andreas D. Lauritzen; My Catarina von Euler-Chelpin; Elsebeth Lynge; Ilse Vejborg; Mads Nielsen; Nico Karssemeijer; Martin Lillholm (CoRR, 2022)

A buffered online transfer learning algorithm with multi-layer network. - Zhongfeng Kang; Bo Yang 011; Mads Nielsen; Lihui Deng; Shantian Yang (Neurocomputing, 2022)

Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19. - Neus Rodeja Ferrer; Malini Vendela Sagar; Kiril Vadimovic Klein; Christina Kruuse; Mads Nielsen; Mostafa Mehdipour-Ghazi (ISBI, 2023)

Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. - 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 (ASMUS@MICCAI, 2023)

Active Transfer Learning for 3D Hippocampus Segmentation. - Ji Wu; Zhongfeng Kang; Sebastian Nørgaard Llambias; Mostafa Mehdipour-Ghazi; Mads Nielsen (MILLanD@MICCAI, 2023)

An Analysis of Spatial-Spectral Dependence in Hyperspectral Autoencoders. - William Michael Laprade; Jesper Cairo Westergaard; Jon Nielsen; Mads Nielsen; Anders Bjorholm Dahl (SCIA (2), 2023)

MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept. - Asbjørn Munk; Ao Ma; Mads Nielsen (CoRR, 2023)

Online transfer learning with partial feedback. - Zhongfeng Kang; Mads Nielsen; Bo Yang 011; Lihui Deng; Stephan Sloth Lorenzen (Expert Syst. Appl., 2023)

Partial feedback online transfer learning with multi-source domains. - Zhongfeng Kang; Mads Nielsen; Bo Yang 011; Mostafa Mehdipour-Ghazi (Inf. Fusion, 2023)

HyperLeaf2024 - A Hyperspectral Imaging Dataset for Classification and Regression of Wheat Leaves. - William Michael Laprade; Pawel Tomasz Pieta; Svetlana Kutuzova; Jesper Cairo Westergaard; Mads Nielsen; Svend Christensen; Anders Bjorholm Dahl (CVPR Workshops, 2024)

Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation. - 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 (ISBI, 2024)

Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. - Markus Ditlev Sjøgren Olsen; Jakob Ambsdorf; Manxi Lin; Caroline Taksøe-Vester; Morten Bo Søndergaard Svendsen; Anders Nymark Christensen; Mads Nielsen; Martin Grønnebæk Tolsgaard; Aasa Feragen; Paraskevas Pegios (ASMUS@MICCAI, 2024)

CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT. - Mikkel Odgaard; Kiril Vadimovic Klein; Martin Sillesen; Sanne Møller Thysen; Espen Jimenez-Solem; Mads Nielsen (MLHC, 2024)

Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification. - Sebastian Nørgaard Llambias; Mads Nielsen; Mostafa Mehdipour-Ghazi (NLDL, 2024)

Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. - Jon Middleton; Marko Bauer; Kaining Sheng; Jacob Johansen; Mathias Perslev; Silvia Ingala; Mads Nielsen; Akshay Pai (NLDL, 2024)

MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept. - Asbjørn Munk; Mads Nielsen (NLDL, 2024)

Yucca: A Deep Learning Framework For Medical Image Analysis. - Sebastian Nørgaard Llambias; Julia Machnio; Asbjørn Munk; Jakob Ambsdorf; Mads Nielsen; Mostafa Mehdipour-Ghazi (CoRR, 2024)

AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation. - Asbjørn Munk; Jakob Ambsdorf; Sebastian Nørgaard Llambias; Mads Nielsen (CoRR, 2024)

Assessing the Efficacy of Classical and Deep Neuroimaging Biomarkers in Early Alzheimer's Disease Diagnosis. - Milla E. Nielsen; Mads Nielsen; Mostafa Mehdipour-Ghazi (CoRR, 2024)

CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data. - Mostafa Mehdipour-Ghazi; Lauge Sørensen; Sébastien Ourselin; Mads Nielsen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Taxometer: Improving taxonomic classification of metagenomics contigs. - Svetlana Kutuzova; Mads Nielsen; Pau Piera Líndez; Jakob Nybo Nissen; Simon Rasmussen (Zenodo, 2024)

Revisiting Clip: Efficient Alignment of 3D MRI and Tabular Data Using Domain-Specific Foundation Models. - Jakob Krogh Petersen; Valdemar Licht; Mads Nielsen; Asbjørn Munk (ISBI, 2025)

Deep Learning for Localization of White Matter Lesions in Neurological Diseases. - Julia Machnio; Mads Nielsen; Mostafa Mehdipour-Ghazi (NLDL, 2025)

Data Augmentation-Based Unsupervised Domain Adaptation in Medical Imaging. - Sebastian Nørgaard Llambias; Mads Nielsen; Mostafa Mehdipour-Ghazi (SCIA (1), 2025)

FAST-AID Brain: Fast and Accurate Segmentation Tool Using Artificial Intelligence Developed for Brain. - Mostafa Mehdipour-Ghazi; Mads Nielsen (SCIA (1), 2025)

Predicting abnormal fetal growth using deep learning. - Kamil Wojciech Mikolaj; Anders Nymark Christensen; Caroline Taksøe-Vester; Aasa Feragen; Olav Bjørn Petersen; Manxi Lin; Mads Nielsen; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard (npj Digit. Medicine, 2025)

A General Purpose Spectral Foundational Model for Both Proximal and Remote Sensing Spectral Imaging. - William Michael Laprade; Jesper Cairo Westergaard; Svend Christensen; Mads Nielsen; Anders Bjorholm Dahl (CoRR, 2025)

A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning. - Asbjørn Munk; Stefano Cerri; Jakob Ambsdorf; Julia Machnio; Sebastian Nørgaard Llambias; Vardan Nersesjan; Christian Hedeager Krag; Peirong Liu; Pablo Rocamora-García; Mostafa Mehdipour-Ghazi; Mikael Boesen; Michael Eriksen Benros; et al. (CoRR, 2025)

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound. - Jakob Ambsdorf; Asbjørn Munk; Sebastian Nørgaard Llambias; Anders Nymark Christensen; Kamil Wojciech Mikolaj; Randall Balestriero; Martin Grønnebæk Tolsgaard; Aasa Feragen; Mads Nielsen (CoRR, 2025)

Towards Scalable and Robust White Matter Lesion Localization via Multimodal Deep Learning. - Julia Machnio; Sebastian Nørgaard Llambias; Mads Nielsen; Mostafa Mehdipour-Ghazi (CoRR, 2025)

To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models. - Julia Machnio; Mads Nielsen; Mostafa Mehdipour-Ghazi (CoRR, 2025)