Erik Dam

发表

Automatic Quantification of Tibio-Femoral Contact Area and Congruity

Mads Nielsen, Martin Lillholm, Sudhakar Tummala, 2012, IEEE Transactions on Medical Imaging.

Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network

Christian Igel, Mads Nielsen, François Lauze, 2013, MICCAI.

Integrating automatic and interactive brain tumor segmentation

Marco Loog, Marloes M. J. Letteboer, Erik Dam, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Femoral cartilage segmentation in Knee MRI scans using two stage voxel classification

Christian Igel, Mads Nielsen, François Lauze, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Cube propagation for focal brain atrophy estimation

Mads Nielsen, Akshay Pai, Lauge Sørensen, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Exploring Non-linear Diffusion: The Diffusion Echo

Mads Nielsen, Erik Dam, 2001, Scale-Space.

Automatic detection of diseased regions in knee cartilage

Mads Nielsen, Ole Fogh Olsen, Claus Christiansen, 2007, SPIE Medical Imaging.

Surface smoothness: cartilage biomarkers for knee OA beyond the radiologist

Sudhakar Tummala, Erik Dam, E. Dam, 2010, Medical Imaging.

A variational method for automatic localization of the most pathological ROI in the knee cartilage

Mads Nielsen, François Lauze, Marco Loog, 2008, SPIE Medical Imaging.

Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps

Martin Lillholm, Erik Dam, Dan R. Jørgensen, 2013, Comput. Biol. Medicine.

Deep structure II. catastrophe theory

Bart M. ter Haar Romeny, Erik Dam, 2003 .

Locating articular cartilage in MR images

Mads Nielsen, Ole Fogh Olsen, Claus Christiansen, 2005, SPIE Medical Imaging.

Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

Christian Igel, Mads Nielsen, François Lauze, 2012, Medical Imaging.

A framework for optimizing measurement weight maps to minimize the required sample size

Mads Nielsen, Marco Loog, Martin Lillholm, 2010, Medical Image Anal..

Combining Binary Classifiers for Automatic Cartilage Segmentation in Knee MRI

Ole Fogh Olsen, Claus Christiansen, Erik Dam, 2005, CVBIA.

Segmenting Articular Cartilage Automatically Using a Voxel Classification Approach

Ole Fogh Olsen, Claus Christiansen, Erik Dam, 2007, IEEE Transactions on Medical Imaging.

Approximating Non-linear Diffusion

Mads Nielsen, Ole Fogh Olsen, Erik Dam, 2003, Scale-Space.

Linear feature selection in texture analysis - A PLS based method

Christian Igel, Martin Lillholm, Erik Dam, 2012, Machine Vision and Applications.

Muscle fibre morphology and microarchitecture in cerebral palsy patients obtained by 3D synchrotron X-ray computed tomography

Tim B. Dyrby, Anders Bjorholm Dahl, Vedrana Andersen Dahl, 2019, Comput. Biol. Medicine.

Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women

Marleen de Bruijne, Mads Nielsen, Erik Dam, 2012, Int. J. Biomed. Imaging.

Automatic analysis of trabecular bone structure from knee MRI

Martin Lillholm, Erik Dam, Paola Pettersen, 2012, Comput. Biol. Medicine.

Efficient Segmentation by Sparse Pixel Classification

Marco Loog, Erik Dam, M. Loog, 2008, IEEE Transactions on Medical Imaging.

Characterization of Errors in Deep Learning-Based Brain MRI Segmentation

Joseph Blair, Akshay Pai, Christian Igel, 2017, Deep Learning for Medical Image Analysis.

Non-linear Diffusion for Interactive Multi-scale Watershed Segmentation

Mads Nielsen, Erik Dam, M. Nielsen, 2000, MICCAI.

Simple Methods for Scanner Drift Normalization Validated for Automatic Segmentation of Knee Magnetic Resonance Imaging - with data from the Osteoarthritis Initiative pdf

Erik Dam, 2017, ArXiv.

Prostate Shape Modeling Based on Principal Geodesic Analysis Bootstrapping

P. Thomas Fletcher, Stephen M. Pizer, Julian G. Rosenman, 2004, MICCAI.

Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling

Marleen de Bruijne, Jon Sporring, Mads Nielsen, 2011, IEEE Transactions on Medical Imaging.

Semi-automatic knee cartilage segmentation

Claus Christiansen, Erik Dam, Paola Pettersen, 2006, SPIE Medical Imaging.

Automatic shape model building based on principal geodesic analysis bootstrapping

P. Thomas Fletcher, Stephen M. Pizer, Erik Dam, 2008, Medical Image Anal..